Large-scale extraction and use of knowledge from text

K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture

Volumn , Issue , 2009, Pages 153-160

  Clark, Peter ^a   Harrison, Phil ^a  

^a BOEING COMPANY   (United States)

Author keywords

Knowledge acquisition; Natural language processing; Parsing; Textual entailment

Indexed keywords

23 MILLION; DATA INTERPRETATION; EMPIRICAL EVIDENCE; HIGH FREQUENCY; HUMAN EVALUATION; KNOWLEDGE RESOURCE; LANGUAGE PROCESSING; NATURAL LANGUAGE PROCESSING; PARSING; TEXTUAL ENTAILMENT; WORLD KNOWLEDGE;

COMPUTATIONAL LINGUISTICS; KNOWLEDGE ACQUISITION; NATURAL LANGUAGE PROCESSING SYSTEMS;

MERGERS AND ACQUISITIONS;

EID: 70449647080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1597735.1597763     Document Type: Conference Paper

References (22)

1. Alshawi, H., Carter, D. 1994. Training and Scaling Preference Functions for Disambiguation. Computational Linguistics 20 (4) pp635-648.
2. Baker, C., Fillmore, C., and Lowe, J. 1998. "The Berkeley FrameNet Project." in Proc 36th ACL, pp86-90. CA:Kaufmann.
3. Banko M., Cafarella, M., Soderland, S., Broadhead, M., Etzioni, O. 2007. Open Information Extraction from the Web. IJCAI'07.
4. P. Clark, P. Harrison. Recognizing Textual Entailment with Logical Inference. In Proceedings of 2008 Text Analysis Conference (TAC'08), Gaithsburg, Maryland, 2008.
5. Fellbaum, C. 1998. WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press.
6. Harrison, P., and Maxwell, M. 1986. A New Implementation of GPSG, Proc. 6th Canadian Conf on AI (CSCSI'86), pp78-83.
7. Havasi, C., Speer, R. & Alonso, J. 2007. ConceptNet3: a Flexible, Multilingual Semantic Network for Common Sense Knowledge. Proceedings of Recent Advances in Natural Languges Processing.
8. Lenat, D. B., and Guha, R. V. 1990. Building Large Knowledg Based Systems: Representation and Inference in the Cyc Project. Reading, MA: Addison-Wesley.
9. Lieberman, H., Liu, H., Singh. P., Barry, B. 2004. Beating some common sense into interactive applications. AI Magazine.
10. Lin, D. 1998. Extracting Collocations from Text Corpora. Workshop on Computational Terminology. pp. 57-63.
11. Lin, D., and Pantel, P. 2001. Discovery of Inference Rules for Question Answering. Natural Language Engineering 7 (4) pp 343-360.
12. Marcus, M., Santorini, B., Marcinkiewicz, M. 1993. Building a Large Annotated Corpus of English : The Penn Treebank. Computational Linguistics, 19 (2). 313-330.
13. Nelson, F., Kucera, H. 1982. Frequency analysis of English usage. Houghton Mifflin Company, Boston.
14. Pantel, P., Bhagat, R., Coppola, B., Chklovski, T., Hovy, E. 2007. ISP: Learning Inferential Selectional Preferences. In Human Language Technologies, NAACL HLT 2007.
15. Ratnaparkhi, A. 1998. Unsupervised Statistical Models for Prepositional Phrase Attachment. Proc. COLING-ACL'98
16. Resnik, P. 1997. Selectional preference and sense disambiguation. In Proceedings of the ACL SIGLEX Workshop on Tagging Text with Lexical Semantics: Why, What, and How?, pages 52-57.
17. Schubert, L. 2002. Can we derive general world knowledge from texts?", M. Marcus (ed.), Proc. of the 2nd Int. Conf. on Human Language Technology Research (HLT 2002),
18. Schubert, L. and Tong, M. 2003. Extracting and evaluating general world knowledge from the Brown corpus, Proc. of the HLT/NAACL 2003 Workshop on Text Meaning.
19. Szpektor, I., Dagan, I., Bar-Haim, R., Goldberger, J. 2008. Contextual Preferences. Proceedings of ACL 2008.
20. Van Durme, B., Michalak, P., Schubert, L. 2009. Deriving Generalized Knowledge from Corpora using WordNet Abstraction. Proc. EACL'09.
21. Van Durme, B., Schubert, L. Open Knowledge Extraction through Compositional Language Processing. Symposium on Semantics in Systems for Text Processing (STEP'08). Venice, Italy. September 22-24, 2008.
22. Voorhees E., and Harman, D. 1999. Overview of the seventh text retrieval conference. In Proceedings of the Seventh Text Retrieval Conference (TREC-7). NIST Special Publication.