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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (other academic)   Publisher：人工知能学会  

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Language：Japanese   Publishing type：Research paper (other academic)   Publisher：国立情報学研究所  

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Language：Japanese   Publishing type：Research paper (other academic)   Publisher：観光情報学会  

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Language：Japanese   Publishing type：Research paper (other academic)   Publisher：観光情報学会  

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Language：Japanese   Publishing type：Research paper (other academic)   Publisher：人工知能学会  

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Language：Japanese   Publishing type：Research paper (other academic)   Publisher：観光情報学会  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：観光情報学会  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ASSOC COMPUTING MACHINERY  

Geotagging is the process of recognizing place and facility names in a document, and assigning each set of latitude and longitude values. In the latter step, an external geographic database, which contains pairs of place/facility names and latitude/longitude values, is used. However, if former place/facility names are used in a historical document, it is impossible to assign latitude and longitude values to them, even though their current names are listed in the database. Furthermore, if there are multiple identical place/facility names in the geographical database, we will have to choose the correct one. In this paper, we propose a method to construct a database that contains current and former place/facility name pairs. We applied a machine learning-based information extraction method to some text corpora, and automatically extracted current and former place/facility name pairs. We also propose a method that disambiguates the same place/facility names. We conducted some experiments to confirm the effectiveness of our method.

DOI： 10.1145/3004010.3004028

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：National Institute of Informatics (NII)  

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Other Link： https://dblp.uni-trier.de/conf/ntcir/2016

Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japan Society of Library and Information Science  

<p>We propose a method for the automatic classification of research papers in terms of the KAKEN classification index using a machine learning method. This classification index was originally devised to classify reports for the KAKEN research fund in Japan, and it is organized as a three-level hierarchy: Area, Discipline, and Research Field. Traditionally, researcher and conference names are used as cue phrases to classify the research paper efficiently. In addition to these cue phrases, we focus on elemental technologies and their effects, as discussed in each research paper. Examining the use of elemental technology terms used in each research paper and their effects is important for characterizing the research field to which a given research paper belongs. Therefore, we use elemental technology terms and their effects as additional cue phrases for machine-learning-based text classification. To investigate the effectiveness of our method, we conducted some experiments using the KAKEN and CiNii articles data. From the experimental results, we obtained average precision scores of 0.853, 0.712, and 0.615 for the Area, Discipline, and Research Field levels in the KAKEN classification index, respectively. These scores are higher than those for the method not using elemental technologies and their effects. From these results, we confirmed the effectiveness of using elemental technology terms and their effects as cue phrases.</p>

DOI： 10.20651/jslis.62.3_145

CiNii Books

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

We are investigating ways of evaluating research impact as soon as possible after publication. Traditionally, the research impact or importance of academic journals has been evaluated using citation relations, such as the impact factor and the citation half-life. However, these citation-based methods require long periods to evaluate research impact and therefore are not suitable for evaluating the current impact of research papers at conferences. To solve this problem, we are studying the automatic evaluation of research impact using Twitter. Researchers participating in academic conferences often post their opinions or comments on Twitter. Here, research papers (presentations) that have many comments are considered to be outstanding and to have strong impact during the conference. In this paper, we propose a method for automatically aligning tweets with research papers. The procedure consists of the following three steps: (1) detecting valuable tweets, (2) aligning each valuable tweet with a research paper, and (3) calculating the research impact of each research paper by the number of aligned tweets. We conducted some experiments to confirm the effectiveness of our method. From the results, we obtained an MRR score of 0.223, which outperformed a baseline method.

DOI： 10.1109/DEXA.2015.64

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：情報処理学会  

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Language：Japanese   Publishing type：Research paper (scientific journal)  

Travelers planning to visit a particular tourist spot need information about their destination and they often use travel guidebooks (guidebooks) to collect this information. However, guidebooks lack specific information, such as first-hand accounts by users who have visited the specific destination. To compensate for the lack of such information, we focused on travel blog entries (blog entries) and archives of answered question (QA) archives. In this paper, we propose a method for enriching guidebooks by aligning with blog entries and question answering archives. This is a three-step method. In Step1, we classify pages of guidebooks, blog entries and QA archives into five types of content, such as 'watch' and 'eat.' In Step 2, we align each blog entry and QA archive with guidebooks by taking these content types into account. In Step 3, we align each blog entry and QA archive with individual pages in guidebooks. To investigate the effectiveness of our method, we conducted a few experiments. Accordingly, 82.0% of blog entries and 77.0% of QA archives were judged to be helpful for travelers. Finally, we constructed a prototype system that provides enriched guidebooks.

DOI： 10.1527/tjsai.29.328

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Association for Computing Machinery, Inc  

A cooking ontology is an indispensable language resource for the language processing of cooking recipes. We have constructed a cooking ontology by means of pattern matching, statistical natural language processing techniques, and manual steps to identify hyponymy, synonymy, attributes, and meronymy.

DOI： 10.1145/2638728.2641328

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

In scientometrics and citation analysis, several measures for evaluating the industrial relevance or the impact of academic research fields have been proposed. What seems to be lacking, however, is that these measures could not evaluate the recent industrial relevance or impact of each field, because most of them rely on citations of research papers in patents and vice versa. In this paper, we attempt to evaluate the industrial and social impact of research fields using document classification techniques. Our method classifies research papers and news articles using systems including the International Patent Classification (IPC) and the KAKEN classification index. Then it evaluates the industrial and social impact of each field by comparing the number of research papers with the number of patents or articles in the IPC categories and the projects funded in each KAKEN category.

DOI： 10.1109/IIAI-AAI.2014.29

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer Verlag  

In this paper, we propose a method for extracting travel-related event information, such as an event name or a schedule from automatically identified newspaper articles, in which particular events are mentioned. We analyze news corpora using our method, extracting venue names from them. We then find web pages that refer to event schedules for these venues. To confirm the effectiveness of our method, we conducted several experiments. From the experimental results, we obtained a precision of 91.5% and a recall of 75.9% for the automatic extraction of event information from news articles, and a precision of 90.8% and a recall of 52.8% for the automatic identification of event-related web pages. © Springer International Publishing 2013.

DOI： 10.1007/978-3-319-03599-4_21

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We propose a method for collecting Hiroshima Electric Railway (Hiroden) blog entries in a blog database. Hiroden blog entries are defined as travel journals that provide regional information at Hiroden streetcar stations. The task of collecting Hiroden blog entries is divided into two steps: (1) collection of blog entries, and (2) identification of Hiroden blog entries. To investigate the effectiveness of our method, we conducted some experiments. From the experimental results, we obtained precision of 82.4%, recall of 64.5%, and Fmeasure of 72.4% in automatic identification of Hiroden blog entries. Finally, we have constructed a system for providing travel information along Hiroden streetcar lines. © 2012 IEEE.

DOI： 10.1109/IIAI-AAI.2012.30

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA  

Retrieving research papers and patents is important for any researcher assessing the scope of a field with high industrial relevance. However, the terms used in patents are often more abstract or creative than those used in research papers, because they are intended to widen the scope of claims. Therefore, a method is required for translating scholarly terms into patent terms. In this paper, we propose six methods for translating scholarly terms into patent terms using two synonym extraction methods: a statistical machine translation (SMT)-based method and a distributional similarity (DS)-based method. We conducted experiments to confirm the effectiveness of our method using the dataset of the Patent Mining Task from the NTCIR-7 Workshop. The aim of the task was to classify Japanese language research papers (pairs of titles and abstracts) using the IPC system at the subclass (third level), main group (fourth level), and subgroup (the fifth and most detailed level). The results showed that an SMT-based method (SMT_ABST+IDF) performed best at the subgroup level, whereas a DS-based method (DS+IDF) performed best at the subclass level.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG WIEN  

For travelers who plan to visit a particular tourist spot, information about it is required. In this paper, we propose a method for extracting and organizing appropriate information from weblogs (blogs). Recently, increased numbers of travelers have been writing of their travel experiences via blogs. We call these travel blog entries, and they contain much useful travel information. For example, some bloggers introduce useful web sites for a tourist spot, while others report on transportation between tourist spots. Here, we extract hyperlinks of web sites for tourist spots from travel blog entries and organize them via automatic classification. We also extract transportation information automatically from travel blog entries. To investigate the effectiveness of our method, we conducted experiments. For the extraction of transportation information, we obtained an 80.3% for Precision. For the classification of hyperlinks, we obtained a high Precision. Finally, we constructed a prototype system, which provides information about (1) transportation between tourist spots and (2) useful web sites for tourist spots.

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Language：English   Publishing type：Research paper (international conference proceedings)  

In this paper, we introduce a cross-lingual recommender system for research papers based on multiple-facets in Japanese. The system is the first Japanese research paper recommender system and recommends international papers simply by typing Japanese keywords. Academic search engine users vary from undergraduate students to researchers. As the users have different backgrounds and preferences, they will aim at different kind of papers. In order to consider the various users' preferences, the system introduces eight viewpoints: internationality, similarity, state of the art, serendipity, contextual analysis (target and method), essentiality and authority. The recommendation results of our system were evaluated by a questionnaire survey. Based on the survey results, we discuss the relevance of the proposed viewpoints and the precision of the system. Copyright © 2011 ACM.

DOI： 10.1145/1961634.1961642

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

In this paper, we propose a method for classification of an author's sentiment for a linked blog (we call this sentiment link polarity), as a first step for finding authoritative blogs in the blogosphere. Generally, blogs that are linked positively from many other blogs are considered more reliable. In citing a blog entry, there are passages where the author describes his/her sentiments about a linked blog (which we call citing areas). We extract citing areas in a Japanese blog entry automatically, and then classify a link polarity using the information in the citing areas. To investigate the effectiveness of our method, we conducted experiments. For classification of link polarity, we obtained a high precision and recall than baseline methods. For the extraction of the citing areas, we obtained the same Precision and Recall as manual extraction. From our experimental results, we confirmed the effectiveness of our methods.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ELSEVIER SCIENCE BV  

Patent applicants and/or examiners could annotate patent documents in terms of correspondences between claims and their working examples. Those annotations would make it easier to understand the documents so as to improve the quality of collaboration among inventors, patent attorneys, examiners, and users of technologies. Annotations to a patent document would also be used to generate queries for retrieving similar past documents, and annotations to past documents should raise the accuracy of retrieval. Domain ontologies could be generated from such annotations and queries, then in turn used to generate new annotations and queries, and so forth. Human collective intelligence would be circulated through this spiral generation of annotations, queries, and ontologies, continuously improving the productivity of application, examination, and use of patents. The paper reports on an early stage of research to realize this vision. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of PACLING Organizing Committee.

DOI： 10.1016/j.sbspro.2011.10.589

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Language：English   Publishing type：Research paper (international conference proceedings)  

We propose a method for constructing a bilingual thesaurus automatically from patents. First, we extract hypernym-hyponym relations from Japanese and US patents by using the pattern "A such as B". Second, we align terms between these thesauri by combining statistical machine translation and citation analysis techniques. To confirm the effectiveness of our method, we conducted some experiments. The results showed that our best method obtained Recall of 79.4%, Precision of 77.5%, and F-measure of 78.3%. © 2011 ACM.

DOI： 10.1145/2064975.2064984

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Language：English   Publishing type：Research paper (international conference proceedings)  

The history of the elemental technologies (underlying technologies) used in a particular research field is essential for analyzing technical trend in the field. However, it is too costly and time-consuming to collect and read all of the papers in the field for the purpose of this analysis. Therefore, we have constructed a system that can recognize the application of elemental technologies to any research field. We focus on the structure of research papers' titles for the extraction of elemental technologies. In research papers' titles, particular expressions, such as "using" or "is based on", are often used. The terms immediately after these expressions are considered elemental technologies. Therefore, we used these expressions as cue phrases, and extracted elemental technologies from both English and Japanese titles. We conducted experiments to investigate the effectiveness of our method for analyzing the structure of titles. We obtained Recall and Precision scores of 0.825 and 0.816, respectively, for the analysis of Japanese titles, and scores of 0.735 and 0.780, respectively, for English titles. Finally, we constructed a system that creates a technical trend map for a given research field. © 2011 Springer-Verlag.

DOI： 10.1007/978-3-642-20095-3_47

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Language：English   Publishing type：Research paper (international conference proceedings)  

The evaluation of computer-produced texts has been recognized as an important research problem for automatic text summarization and machine translation. Traditionally, computer-produced texts were evaluated automatically by n-gram overlap with human-produced texts. However, these methods cannot evaluate texts correctly, if the n-grams do not overlap between computer-produced and human-produced texts, even though the two texts convey the same meaning. We explored the use of paraphrases for the refinement of traditional automatic methods for text evaluation. To confirm the effectiveness of our method, we conducted some experiments using the data from the Text Summarization Challenge 2. We found that the use of paraphrases created using a statistical machine translation technique could improve the traditional evaluation method. © 2011 Springer-Verlag.

DOI： 10.1007/978-3-642-20095-3_51

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Language：Japanese   Publishing type：Research paper (other academic)  

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CiNii Books

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Language：English   Publishing type：Research paper (international conference proceedings)  

For a researcher in a field of great industrial relevance, retrieving and analyzing research papers and patents has become an important aspect of assessing the scope of the field. We propose a method for creating a technical trend map automatically from both research papers and patents. For the construction of the technical trend map, we focus on the elemental (underlying) technologies used in a particular field, and their effects. Knowledge of the history and effects of the elemental technologies used in a particular field is essential for grasping the outline of technical trends in the field. Therefore, we have constructed a method that can recognize the application of elemental technologies and their effects in any research field. To investigate the effectiveness of our method, we conducted an experiment using the data in the NTCIR-8 Patent Mining Task. From our experimental results, we obtained Recall and Precision scores of 0.160 and 0.491, respectively, for the analysis of research papers. We also obtained Recall and Precision scores of 0.431 and 0.545, respectively, for the analysis of patents. Finally, we have constructed a system that creates an effective technical trend map for a given field. © 2010 ACM.

DOI： 10.1145/1871888.1871891

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Other Link： http://hdl.handle.net/10119/9564

Language：Japanese   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

For a researcher in a field with high industrial relevance, retrieving research papers and patents has become an important aspect of assessing the scope of the field. However, retrieving patents using keywords is a laborious task for researchers, because the terms used in patents are often more abstract than those used in research papers, to try to widen the scope of the claims. We propose two methods for translating scholarly terms into patent terms: the "citation-based method" and the "thesaurus-based method". We also propose a method combining these two with the existing "Mase's method". To confirm the effectiveness of our methods, we conducted some examinations, and found that the combined method performed the best. Copyright 2009 ACM.

DOI： 10.1145/1651343.1651348

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Language：English   Publishing type：Research paper (scientific journal)  

The need for academic researchers to retrieve patents and research papers is increasing, because applying for patents is now considered an important research activity. However, retrieving patents using keywords is a laborious task for researchers, because the terms used in patents for the purpose of enlarging the scope of the claims are generally more abstract than those used in research papers. Therefore, we have constructed a framework that facilitates patent retrieval for researchers, and have integrated research papers and patents by analysing the citation relationships between them. We obtained cited research papers in patents using two steps: (1) detection of sentences containing bibliographic information, and (2) extraction of bibliographic information from those sentences. To investigate the effectiveness of our method, we conducted two experiments. In the experiment involving Step 1, we prepared 42,073 sentences, among which a human subject manually identified 1,476 sentences containing citations of papers. For Step 2, we prepared 3,000 sentences, in which the titles, authors, and other bibliographic information were manually identified. We obtained a precision of 91.6%, and a recall of 86.9% in Step 1, and a precision of 86.2% and a recall of 85.1% in Step 2. Finally, we constructed an information retrieval system that provided two methods of retrieving research papers and patents. One method was retrieval by query, and another was from the citation relationships between research papers and patents. © 2008 Springer-Verlag.

DOI： 10.1007/s00799-008-0045-x

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

We propose a method to search for illustrative sentences for English multiword expressions (MWEs) from a research paper database. We focus on syntactically flexible expressions such as "regard - as." Traditionally, illustrative sentences that contain such expressions have been searched for by limiting the maximum number of words between the component words of the MWE. However, this method could not collect enough illustrative sentences in which clauses are inserted between component words of MWEs. We therefore devised a measure that calculates the distance between component words of an MWE in a parse tree, and use it for flexible expression search. We conducted experiments, and obtained a precision of 0.832 and a recall of 0.911.

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Language：English   Publishing type：Research paper (international conference proceedings)  

This paper introduces the Patent Mining Task of the Seventh NTCIR Workshop and the test collections produced in this task. The task's goal was the classification of research papers written in either Japanese or English in terms of the International Patent Classification (IPC) system, which is a global standard. For this task, 12 participant groups submitted 49 runs. In this paper, we also report the evaluation results of the task. Copyright 2008 ACM.

DOI： 10.1145/1458572.1458580

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：SPRINGER-VERLAG BERLIN  

Electronic presentations are used in numerous scenarios, such as lectures and meetings. In recent years, the widespread use of electronic presentations means that presentation slide data is increasing as one of industry's most important information resources. Therefore, it is necessary to develop a practical usage method for the reutilisation of the data on slides. An approach to achieve this is to focus on visual structure information within a slide, because visual structure information is one of the most valuable, easy to understand methods for humans. However, since visual structure information is not explicitly defined in the slide data itself, computers have difficulty comprehending structure information directly. In this paper, we propose a method of extracting structure information from slide information. The proposed method is composed of two steps: organising objects within the slide as units, such as title, body text, figure and table, and structuring the units as a hierarchy tree based on a top-down approach.

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Language：Japanese   Publisher：国立研究開発法人 科学技術振興機構 一般社団法人 情報科学技術協会  

本稿では，特許と論文データベースを統合し，ユーザが特許と論文を横断的に検索したり，技術動向を分析したりすることを可能にするツールについて述べる．本研究では，まず，特許と論文間の引用関係を解析し，次に，この関係を用いて，論文用語(例えば「DRAM」)を特許用語(例えば「半導体記憶装置」)に自動変換する手法を開発する．ユーザは，引用関係をたどったり，用語の変換技術を用いたりすることにより，特許と論文を横断的に検索できる．次に，統合されたデータベースから特定分野の文献を収集し，それらからその分野でどのような要素技術がいつ頃から使われたかという情報を自動抽出し，年代順に並べてグラフとして出力する．この結果，ユーザはある分野の技術動向を分析できる．

DOI： 10.11514/infopro.2006.0.45.0

J-GLOBAL

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

We have been studying the automatic generation of presentation sheets from a technical paper. Our approach consists of obtaining a set of rules for generating presentation sheets by applying machine learning techniques to many pairs of technical papers and their presentation sheets collected from the World Wide Web. As a first step, in this paper, we propose a method for aligning technical papers and presentation sheets. Our method is based on Jing's method, which uses a Hidden Markov Model (HMM). Although her method is useful to align short sentences in newspaper articles, it is inapplicable to align sentences in a paper including charts and long sentences. Therefore, we analyse features of papers and sheets, such as information from text appearance, and propose an alignment method that combines the use of these features and her method. The evaluation shows that our alignment method performed effectively.

Web of Science

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：SPRINGER-VERLAG BERLIN  

We propose a method for detecting survey articles in a multilingual database. Generally, a survey article cites many important papers in a research domain. Using this feature, it is possible to detect survey articles. We applied HITS, which was devised to retrieve Web pages using the notions of authority and hub. We can consider that important papers and survey articles correspond to authorities and hubs, respectively. It is therefore possible to detect survey articles, by applying HITS to databases and by selecting papers with outstanding hub scores. However, HITS does not take into account the contents of each paper, so the algorithm may detect a paper citing many principal papers in mistake for survey articles. We therefore improve HITS by analysing the contents of each paper. We conducted an experiment and found that HITS was useful for the detection of survey articles, and that our method could improve HITS.

Web of Science

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1145/986278.986284

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Language：Japanese   Publishing type：Research paper (scientific journal)  

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Language：Japanese   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (scientific journal)  

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Language：Japanese   Publishing type：Research paper (scientific journal)  

CiNii Books

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Language：Japanese   Publishing type：Research paper (scientific journal)  

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Language：Japanese   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：MORGAN KAUFMANN PUB INC  

This paper presents a system to support writing a survey of a specific domain. The system utilizes reference information that consists of reference relationships between papers and the information derived from the description around citations. We think the following are inevitable for writing a survey : collecting papers of the specific domain, and understanding their essence and differences among them. Therefore, we firstly extract fragments of papers where the author describes the essence of a referred paper and the differences between his paper and it(we call them reference areas). Then with the information of reference areas, we identify the types of reference relationships that indicate the reasons for citations(we call them reference types). These types make it possible to collect papers in the same domain. The system can display the collection of the papers. It can also show abstracts and reference areas of the collected papers. With the system, we can understand the relationships between the collected papers.

Web of Science

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Language：Japanese   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Book type：Scholarly book

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Language：Japanese   Book type：Scholarly book

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Language：Japanese  

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Language：Japanese  

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

We propose a method that detects blog entries mentioned about failed meals. First, we collected blog entries using queries, such as "[dish name] AND recipe AND failure." Second, we identified blog entries that mention about failed meals based on machine learning with several cue phrases collected from patents as features. To confirm the effectiveness of our method, we conducted an examination using 1,046 blog entries. From the experimental results, we obtained precision of 0.527 and recall of 0.100.

CiNii Books

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Language：Japanese  

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, we propose a method for generating a typical procedure and an ingredient list for a certain dish from a set of recipes for the dish. For the identification of similarities among recipes, various linguistic resources, such as a synonym dictionary, a case frame dictionary, and a predicate argument structure analyzer, are required. We therefore constructed these resources from recipe data using statistical natural language processing techniques, and used them for multi-recipe summarization.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Recently, participants of academic conferences often post their comments for each research paper (presentation) to Twitter. Some of these comments are useful for understanding the papers from various viewpoints. Therefore, we have studied automatic alignment of tweets with research papers. The procedure consists of the following two steps: (1) alignment each tweet with a research paper and (2) classification of tweets for detecting useful ones. We conducted some experiments to confirm the effectiveness of our method. From the results, we obtained recall and precision scores of 0.5080 and 0.4853, respectively, for the alignment of tweets with research papers. We also obtained recall and precision scores of 0.4533 and 0.5782, respectively, for the classification of tweets.

CiNii Books

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Language：Japanese  

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Language：English   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

CiNii Books

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)   Publisher：Japan Science and Technology Agency  

This paper introduces the Patent Mining Tasks of the Seventh and Eighth NTCIR Workshops and the test collections produced in these tasks. The task's goal is the creation of technical trend maps from a set of research papers and patents in a particular research field. In this paper, we explain two subtasks: (1) research papers classification and (2) technical trend maps creation, which are conducted in the Patent Mining Task. We also show a system that classifies research papers into the International Patent Classification (IPC) system, which is a global standard hierarchical patent classification system.

DOI： 10.1241/johokanri.52.334

CiNii Books

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Other Link： http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/9551

Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00040007/

Language：Japanese   Publishing type：Book review, literature introduction, etc.  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

CiNii Books

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Other Link： http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/9549

Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

Recently, the number of occasions when academic researchers retrieve patents and research papers has been increasing, because applying for patents is considered to be an important research activity. However, retrieving patents using keywords is a laborious task for them because terms used in patents are more abstract than those of research papers in order to extend the scope of claims. Therefore, we propose a method to paraphrase scholarly terms into patent terms (e.g.paraphrase "floppy disc" into "magnetic recording medium") using citation relations between research papers and patents. We conducted some experiments, and confirmed the effectiveness of our method.

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00047854/

Language：Japanese   Publisher：社団法人情報科学技術協会  

CiNii Books

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In this paper, we propose a method to detect cited literatures in patents, as a first step towards construction of a cross-genre retrieval environment by analyzing citation relationships between a patent and a research paper databases. We detect cited patents by using simple regular expressions while we detect cited papers by combining several cue phrases. From the results of our examinations, we obtained 99% precision for the detection of cited patents, and 91% precision and 86% recall for that of cited papers.

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00048012/

Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, we propose a method to detect cited literatures in patents, as a first step towards construction of a cross-genre retrieval environment by analyzing citation relationships between a patent and a research paper databases. We detect cited patents by using simple regular expressions while we detect cited papers by combining several cue phrases. From the results of our examinations, we obtained 99% precision for the detection of cited patents, and 91% precision and 86% recall for that of cited papers.

CiNii Books

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Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

Trend information is defined as information obtained by synthesis and organization of temporal information such as cabinet approval ratings and stock movements. In this paper, we describe a method for visualizing trend information extracted from multiple documents. We focus on cross-document structure theory (CST) which Radev et al. proposed. The theory expands the notion of Rhetorical Structure Theory (RST) to the relationships between sentences in the different documents. We implement this theory partially, use it to extract trend information, and visualize it as a graph.

CiNii Books

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Language：Japanese  

J-GLOBAL

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Language：English   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：English  

J-GLOBAL

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

CiNii Books

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Other Link： http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/5951

Language：Japanese   Publisher：Forum on Information Technology  

CiNii Books

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In this paper, we propose a method to detect survey articles from a multilingual database, as a first step towards automatic generation of a survey article. Generally, a survey article refers many important papers in the domain. Using this feature of survey articles, it is possible to detect them from a database, if important papers could be detected. We pay attention to HITS, which is an algorithm to retrieve web pages using the notions of 'authority' and 'hub'. Here, it is considered that important papers and survey articles correspond to authority and hub, respectively. It is therefore possible to detect survey articles, by applying HITS to academic databases and by selecting papers whose hub scores are high. However, as HITS does not take account of the contents of each paper, authority papers that refer many important papers might be detected as survey articles. We therefore improve HITS by taking account of the contents of each paper. In order to investigate the effectiveness of our method, we conducted an examination. As a result, we found that our method could improve HITS for detection of survey articles.

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00048384/

Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, we propose a method to detect survey articles from a multilingual database, as a first step towards automatic generation of a survey article. Generally, a survey article refers many important papers in the domain. Using this feature of survey articles, it is possible to detect them from a database, if important papers could be detected. We pay attention to HITS, which is an algorithm to retrieve web pages using the notions of 'authority' and 'hub'. Here, it is considered that important papers and survey articles correspond to authority and hub, respectively. It is therefore possible to detect survey articles, by applying HITS to academic databases and by selecting papers whose hub scores are high. However, as HITS does not take account of the contents of each paper, authority papers that refer many important papers might be detected as survey articles. We therefore improve HITS by taking account of the contents of each paper. In order to investigate the effectiveness of our method, we conducted an examination. As a result, we found that our method could improve HITS for detection of survey articles.

CiNii Books

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In this paper, we report the result of TSC, a subtask of NTCIR Workshop 2, conducted from May of 2000 to March of 2001. We also discuss their evaluation methods.

CiNii Books

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Other Link： http://id.nii.ac.jp/1001/00048507/

Language：Japanese   Publisher：The Institute of Electronics, Information and Communication Engineers  

In this paper, we report the result of TSC, a subtask of NTCIR Workshop 2, conducted from May of 2000 to March of 2001. We also discuss their evaluation methods.

CiNii Books

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Language：Japanese   Publisher：北陸先端科学技術大学院大学  

CiNii Books

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Language：Japanese   Publishing type：Book review, literature introduction, etc.  

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Language：Japanese   Publisher：共立出版  

CiNii Books

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Language：Japanese   Publishing type：Book review, literature introduction, etc.  

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Language：Japanese   Publishing type：Article, review, commentary, editorial, etc. (scientific journal)  

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Language：Japanese   Publisher：Information Processing Society of Japan (IPSJ)  

In this paper, we show a supporting system of making a survey. When we start a research in a domain, it is easy to grasp the outline of the domain if there exists a survey. However that kind of survey doesn't always exist. Therefore, we present a method to support human to make a summary for multiple papers. To support, we use the reference relationships between papers. Then, we built up a system using this reference information.

CiNii Books

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Language：English   Publisher：北陸先端科学技術大学院大学  

CiNii Books

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Presentation type：Public lecture, seminar, tutorial, course, or other speech  

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Language：Japanese   Presentation type：Oral presentation (invited, special)  

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Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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