TXTRACTOR


See also: 

Summarizers & Dialog Systems 


Using sentence-selection heuristics to rank text segments in TXTRACTOR D McDonald… – Proceedings of the 2nd ACM/IEEE-CS joint …, 2002 – dl.acm.org Abstract TXTRACTOR is a tool that uses established sentence-selection heuristics to rank  text segments, producing summaries that contain a user-defined number of sentences. The  purpose of identifying text segments is to maximize topic diversity, which is an adaptation … Cited by 61 – Related articles – All 8 versions

Method and system for prioritizing communications based on interpersonal relationships HJ Zeng, Z Chen, B Zhang… – US Patent 7,917,587, 2011 – Google Patents … Adelson, Beth and Redmond, Mike, “What Would It Take To Have A Personal Assistant Who Fit Into Your World?,” Mar. 23, 1998. McDonald, Daniel and Chen, Hsinchun, “Using Sentence-Selection Heuristics to Rank Text Segments in TXTRACTOR,” JCDL ’02, Jul. 13-17, … Related articles – All 4 versions

Data classification based on point-of-view dependency D Gartung, P Chan, J Rotherham – US Patent 7,769,759, 2010 – Google Patents … 2005/0004857 Al * 1/2005 Schwarz et al 705/36 2005/0108001 Al* 5/2005 Aarskog 704/10 2005/0262039 Al * 11/2005 Kreulen et al 707/1 OTHER PUBLICATIONS McDonald et al., “Using Sentence-Selection Heuristics to Rank Text Segments in TXTRACTOR”, Jul. … Cited by 1 – Related articles – All 3 versions

Digital government portal: a tool for digital government research [PDF] from dgrc.org H Chen, Y Zhou, J Qin… – Proceedings of the 2004 annual …, 2004 – dl.acm.org … The DGPort summarizer, a modified version of a text summarizer called TXTRACTOR (McDonald & Chen, 2002), can flexibly summarize Web pages using three or five sentences to allow users to get an idea about a webpage without having to read through it. … Related articles – All 7 versions

Building a scientific knowledge web portal: The NanoPort experience [PDF] from hku.hk M Chau, Z Huang, J Qin, Y Zhou… – Decision Support Systems, 2006 – Elsevier Cited by 35 – Related articles – All 10 versions

Personalized environment for skimming documents [PDF] from jaist.ac.jp T Hayama, T Kanai… – Knowledge-Based Intelligent Information …, 2003 – Springer … TXTRACTOR[3] generates personalized summary by adjusting param- eter of word frequency, cue phrase, proper noun, and sentences position by user. … CHI 2002, 2002 776 [3] D.McDonald, H,Chen: Using Sentence Selection Heuristics to Rank Text Segments in TXTRACTOR. … Cited by 4 – Related articles – BL Direct – All 3 versions

[PDF] Tools and methods for objective or contextual evaluation of topic segmentation [PDF] from univ-avignon.fr L Sitbon… – Proceedings of Language Resources and …, 2006 – lia.univ-avignon.fr … to the query. A second role is described by the task of TDT (Topic Detection and Tracking). Finally, seg- mentation can be part of a summary process, for example in TXTRACTOR (McDonald and Chen, 2002). This diversity of … Cited by 1 – Related articles – View as HTML – All 11 versions

CMedPort: Intelligent searching for Chinese medical information Y Zhou, J Qin… – … and Management of Indigenous Knowledge for …, 2003 – Springer … (4) Chinese Summarizer. The Chinese Summarizer is a modified version of TXTRACTOR, a summarizer for English documents developed by [22]. … [22] D. McDonald and H. Chen: Using sentence selection heuristics to rank text segments in TXTRACTOR. … Cited by 3 – Related articles – BL Direct – All 4 versions

[PDF] Adapting and comparing linear segmentation methods for french [PDF] from univ-avignon.fr L Sitbon… – Proceedings RIAO’04, 2004 – lia.univ-avignon.fr … It consists in detecting boundaries between articles in a flow of informations, broadcast news, and textual transcriptions. Finally, segmentation can be part of a summary process, for example in TXTRACTOR (McDonald and Chen, 2002). … Cited by 10 – Related articles – View as HTML – All 5 versions

The use of intelligent information access technologies in digital libraries J Chen, Y Li… – Web Information Systems-WISE 2006 Workshops, 2006 – Springer … QuASM, a system for question answering using semi-structured data. Text Summarization 2 • Using sentence-selection heuristics to rank text segments in TXTRACTOR • Using librarian techniques in automatic text summarization for information retrieval … Cited by 3 – Related articles – BL Direct – All 4 versions

Towards an automatic characterization of criteria B Duthil, F Trousset, M Roche, G Dray… – Database and Expert …, 2011 – Springer … 465 5. Kleiber, G.: Noms propres et noms communs: un probl`eme de dénomination. Meta, 567-589 (1996) 6. McDonald, D., Hsinchun, C.: Using sentence-selection heuristics to rank text seg- ments in txtractor. In: JCDL 2002, pp. … Related articles – All 2 versions

CMedPort: a cross-regional Chinese medical portal Y Zhou, J Qin, H Chen, Z Huang… – Proceedings of the 3rd …, 2003 – dl.acm.org … Journal of the American Society for Information Science and Technology, 52(13), 1134-1147, 2001. [2] McDonald, D. and Chen, H.: Using sentence selection heuristics to rank text segments in TXTRACTOR. In Proceedings of JCDL’02, Portland, Oregon. … Cited by 3 – Related articles – All 7 versions

Web-based business intelligence systems: a review and case studies W Chung… – Business Computing, 2009 – books.google.com … summarize the Web page. The CBizPort summarizer was modi?ed from an English summarizer called TXTRACTOR that uses sentence-selection heuristics to rank text segments (McDonald and Chen, 2002). This heuristic strives … Cited by 5 – Related articles

Supporting Information Seeking in Multinational Organizations: A Knowledge Portal Approach [PDF] from psu.edu W Chung, T Elhourani, A Bonillas… – … , 2005. HICSS’05. …, 2005 – ieeexplore.ieee.org … 4.2. Summarizer The SBizPort and AMedPort summarizers were modified from an English summarizer called TXTRACTOR that uses sentence-selection heuristics to rank text segments [15]. This heuristic strives to reduce 0-7695-2268-8/05/$20.00 (C) 2005 IEEE … Related articles – All 7 versions

Computer-assisted “dark web” website and forum collection, analysis and visualization C Hsinchun – Hypermedia seduction for terrorist recruiting, 2007 – books.google.com … retrieval components. A modified version of a text summarizer, called TXTRACTOR, which uses sentence- selection heuristics to rank and select important text segments [16], is added into the Dark Web Portal. The summarizer … Cited by 2 – Related articles – BL Direct

Exploring extremism and terrorism on the Web: The Dark Web project [PDF] from pp.ua H Chen – Intelligence and Security Informatics, 2007 – Springer … components. A modified version of a text summarizer called TXTRACTOR, which uses sentence- selection heuristics to rank and select important text segments (McDonald & Chen, 2002), is added into the Dark Web Portal. The … Cited by 5 – Related articles – BL Direct – All 4 versions

[CITATION] Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries: July 14-18, 2002, Portland, Oregon G Marchionini… – 2002 – Assn for Computing Machinery Library Search

Terrorism knowledge discovery project: a knowledge discovery approach to addressing the threats of terrorism [PDF] from arizona.edu E Reid, J Qin, W Chung, J Xu, Y Zhou… – … and Security Informatics, 2004 – Springer … Document Summarization. The TKP summarizer, a modified version of a text sum- marizer called TXTRACTOR, uses sentence-selection heuristics to rank text segments [28]. These heuristics strive to reduce redundancy of information in a query-based summary. … Cited by 30 – Related articles – BL Direct – All 27 versions

A system for summary-document similarity in notary domain [PDF] from uni-weimar.de C Cesarano, A Mazzeo… – Database and Expert …, 2007 – ieeexplore.ieee.org … Comm ACM, 33(11):88-97, 1990. [7] D. MCDONALD and H. CHEN. Using sentence-selection heuristics to rank text segments in txtractor. In Proceedings of the Second ACM/IEEE-CS JCDL (Portland, OR)., 2002. [8] FMZ Roberto Basili. … Cited by 3 – Related articles – All 5 versions

Internet searching and browsing in a multilingual world: An experiment on the Chinese Business Intelligence Portal (CBizPort) [PDF] from arizona.edu W Chung, Y Zhang, Z Huang… – Journal of the …, 2004 – Wiley Online Library … from the three regions. The CBizPort summarizer was modified from an English summarizer called TXTRACTOR that uses sentence-selection heuristics to rank text segments (McDonald & Chen, 2002). Relying on two Chinese … Cited by 46 – Related articles – BL Direct – All 25 versions

Seggen: A genetic algorithm for linear text segmentation [PDF] from univ-angers.fr S Lamprier, T Amghar, B Levrat… – IJCAI, 2007 – aaai.org Page 1. SegGen: a Genetic Algorithm for Linear Text Segmentation S.Lamprier, T.Amghar, B.Levrat and F.Saubion LERIA, Université d’Angers 2, Bd Lavoisier 49045 Angers (France) {lamprier,amghar,levrat,saubion}@info.univ-angers.fr Abstract … Cited by 14 – Related articles – All 14 versions

CMedPort: an integrated approach to facilitating Chinese medical information seeking [PDF] from arizona.edu Y Zhou, J Qin… – Decision Support Systems, 2006 – Elsevier Cited by 22 – Related articles – All 20 versions

[PDF] Towards holistic summarization: Selecting summaries, not sentences [PDF] from dr-hato.se M Hassel… – Proceedings of Language Resources and …, 2006 – dr-hato.se … Daniel McDonald and Hsinchun Chen. 2002. Using Sentence Selection Heuristics to Rank Text Segments in TXTRACTOR. In Proceedings of the 2nd ACM/IEEE Joint Conference on Digital Libraries, pages 25-38, Portland, Oregon. Paul Over and James Yen. 2004. … Cited by 11 – Related articles – View as HTML – All 19 versions

Classstruggle: a clustering based text segmentation [PDF] from univ-angers.fr S Lamprier, T Amghar, B Levrat… – Proceedings of the 2007 …, 2007 – dl.acm.org Page 1. ClassStruggle : a Clustering Based Text Segmentation Sylvain Lamprier, Tassadit Amghar, Bernard Levrat and Frederic Saubion LERIA – Université Angers 2, Bd Lavoisier Angers, France {lamprier,amghar,levrat,saubion}@info.univ-angers.fr … Cited by 1 – Related articles – All 3 versions

[PDF] Building Knowledge Management System for Researching Terrorist Groups on the Web [PDF] from psu.edu Y Zhou, J Qin, G Lai, E Reid… – Proceedings of the Eleventh …, 2005 – Citeseer … The Dark Web summarizer was modified from an English summarizer, TXTRACTOR (McDonald and Chen, 2002), that uses sentence-selection heuristics to rank text segments. It supports summarizing Web documents in Arabic, English, and Page 8. Zhou and Qin et al. … Cited by 4 – Related articles – View as HTML – All 14 versions

Feature selection for summarising: The sunderland duc 2004 experience [PDF] from soton.ac.uk SF Liang – 2004 – eprints.soton.ac.uk … [7] McDonald, D., Chen, H. 2002. Summarization and question answering: Using sentence-selection heuristics to rank text segments in TXTRACTOR. In proceedings of the second ACM/IEEE-CS joint conference on Digital libraries, pages 28-35, July. … Cited by 2 – Related articles – All 3 versions

CollabSum: exploiting multiple document clustering for collaborative single document summarizations [PDF] from pku.edu.cn X Wan… – Proceedings of the 30th annual international ACM …, 2007 – dl.acm.org Page 1. CollabSum: Exploiting Multiple Document Clustering for Collaborative Single Document Summarizations Xiaojun Wan, Jianwu Yang and Jianguo Xiao Institute of Computer Science and Technology, Peking University … Cited by 26 – Related articles – All 7 versions

Incorporating cross-document relationships between sentences for single document summarizations X Wan, J Yang… – Research and Advanced Technology for Digital …, 2006 – Springer Page 1. J. Gonzalo et al. (Eds.): ECDL 2006, LNCS 4172, pp. 403-414, 2006. (c) Springer-Verlag Berlin Heidelberg 2006 Incorporating Cross-Document Relationships Between Sentences for Single Document Summarizations Xiaojun Wan, Jianwu Yang, and Jianguo Xiao … Cited by 4 – Related articles – BL Direct – All 5 versions

Using an Evolving Thematic Clustering in a Text Segmentation Process [PDF] from psu.edu S Lamprier, T Amghar, B Levrat… – Journal of Universal …, 2008 – jucs.org Page 1. Using an Evolving Thematic Clustering in a Text Segmentation Process Sylvain Lamprier (LERIA – University of Angers, France lamprier@info.univ-angers.fr) Tassadit Amghar (LERIA – University of Angers, France amghar@info.univ-angers.fr) … Cited by 2 – Related articles – All 7 versions

Intelligence and security informatics for homeland security: information, communication, and transportation [PDF] from arizona.edu H Chen, FY Wang… – Intelligent Transportation Systems …, 2004 – ieeexplore.ieee.org … with post-retrieval components. A modified version of a text summarizer called TXTRACTOR, which uses sentence-selection heuristics to rank text segments [22], will be added into the Dark Web Portal. This summarizer can … Cited by 60 – Related articles – All 20 versions

2-Web Searching and Browsing: A Multilingual Perspective W Chung – Advances in Computers, 2010 – Elsevier Cited by 1 – Related articles – All 2 versions

On evaluation methodologies for text segmentation algorithms [PDF] from univ-angers.fr S Lamprier, T Amghar, B Levrat… – Tools with Artificial …, 2007 – ieeexplore.ieee.org Page 1. On Evaluation Methodologies for Text Segmentation Algorithms Sylvain Lamprier, Tassadit Amghar, Bernard Levrat and Frederic Saubion LERIA, University of Angers 2, Bd Lavoisier 49000 ANGERS, FRANCE {lamprier, amghar, levrat, saubion}@info.univ-angers.fr … Cited by 7 – Related articles – All 6 versions

Survey and history of digital library development in the Asia Pacific H Chen… – Design and usability of digital libraries: case …, 2005 – books.google.com … In Proceedings of the Second Asian Digital Library Workshop (pp. 182-201). Taipei, Taiwan. McDonald, D., & Chen, H.(2002). Using sentence selection heuristics to rank text segments in TXTRACTOR. In Proceedings ofJCDL’02 (pp. 28-35). Portland, Oregon. ACM/IEEE-CS. … Cited by 1 – Related articles – All 16 versions

Digital library development in the Asia pacific H Chen – Digital Libraries: Implementing Strategies and Sharing …, 2005 – Springer … In the Proceedings of the Second Asian Digital Library Workshop, Taipei, Taiwan. 182-201. 24. McDonald, D. & Chen, H. (2002). Using Sentence Selection Heuristics to Rank Text Seg- ments in TXTRACTOR. In Proceedings of JCDL’02, Portland, Oregon. ACM/IEEE-CS. 2835. … Cited by 2 – Related articles – BL Direct – All 2 versions

[PDF] Designing Web-based Business Intelligence Systems: A Framework and Case Studies [PDF] from nyit.edu W Chung – Proc. of The First Int’l Conf. on Design Science …, 2006 – iris.nyit.edu Page 1. Designing Web-based Business Intelligence Systems: A Framework and Case Studies Wingyan Chung Department of Information and Decision Sciences College of Business Administration, The University of Texas … Cited by 3 – Related articles – All 3 versions

Studying information seeking on the non-English Web: An experiment on a Spanish business Web portal W Chung – International Journal of Human-Computer Studies, 2006 – Elsevier Cited by 11 – Related articles – All 4 versions

Supporting non-English Web searching: An experiment on the Spanish business and the Arabic medical intelligence portals [PDF] from nus.edu.sg W Chung, A Bonillas, G Lai, W Xi… – Decision support systems, 2006 – Elsevier Cited by 11 – Related articles – All 8 versions

Supporting Multilingual Internet Searching and Browsing [PDF] from openrepository.com Y Zhou – 2006 – arizona.openrepository.com Page 1. SUPPORTING MULTILINGUAL INTERNET SEARCHING AND BROWSING by Yilu Zhou _____ Copyright (c) Yilu Zhou 2006 A Dissertation Submitted to the Faculty of the COMMITTEE ON BUSINESS ADMINISTRATION … Cited by 1 – Related articles – Library Search – All 3 versions

EBizPort: collecting and analyzing business intelligence information [PDF] from psu.edu B Marshall, D McDonald, H Chen… – Journal of the American …, 2004 – Wiley Online Library Skip to Main Content. Wiley Online Library will be disrupted 5 Nov from 10-12 GMT for monthly maintenance. … Cited by 44 – Related articles – BL Direct – All 27 versions

Exploiting neighborhood knowledge for single document summarization and keyphrase extraction X Wan… – ACM Transactions on Information Systems (TOIS), 2010 – dl.acm.org Page 1. 8 Exploiting Neighborhood Knowledge for Single Document Summarization and Keyphrase Extraction XIAOJUN WAN and JIANGUO XIAO Peking University Document summarization and keyphrase extraction are two … Cited by 7 – Related articles – All 3 versions

[PDF] Content Repurposing of Electrical Diagrams for Presentation in Handheld Devices [PDF] from nps.edu V Papaliakos – 2004 – edocs.nps.edu Page 1. NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS CONTENT REPURPOSING OF ELECTRICAL DIAGRAMS FOR PRESENTATION IN HANDHELD DEVICES by Vasilios Papaliakos December 2004 Thesis Advisor: Neil C. Rowe Thesis Advisor: … Related articles – View as HTML – Library Search – All 4 versions

Summary in context: Searching versus browsing DM McDonald… – ACM Transactions on Information Systems ( …, 2006 – dl.acm.org Page 1. Summary in Context: Searching Versus Browsing DANIEL M. MCDONALD and HSINCHUN CHEN The University of Arizona The use of text summaries in information-seeking research has focused on query-based summaries. … Cited by 37 – Related articles – BL Direct – All 6 versions