A knowledge-intensive model for prepositional phrase attachment

ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Volumn 1, Issue , 2015, Pages 365-375

  Nakashole, Ndapandula ^a   Mitchell, Tom M ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; IMAGE SEGMENTATION; KNOWLEDGE BASED SYSTEMS; MAXIMUM PRINCIPLE; SEMANTICS; SYNTACTICS;

DEPENDENCY PARSER; EXPECTATION-MAXIMIZATION ALGORITHMS; KNOWLEDGE-BASE CONSTRUCTION; LABELED AND UNLABELED DATA; PREPOSITIONAL PHRASE; RESOLVING AMBIGUITIES; SEMANTIC KNOWLEDGE; SYNTACTIC AMBIGUITIES;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84943812938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1036     Document Type: Conference Paper

References (42)

1. Eneko Agirre, Timothy Baldwin, and David Martinez. 2008. Improving parsing and PP attachment performance with sense information. In Proceedings of ACL-08: HLT, pages 317-325.
2. Gerry Altmann and Mark Steedman. 1988. Interaction with context during human sentence processing. Cognition, 30:191-238.
3. Enrique Henestroza Anguiano and Marie Candito. 2011. Parse correction with specialized models for difficult attachment types. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, EMNLP, pages 1222-1233.
4. Michaela Atterer and Hinrich Schutze. 2007. Prepositional phrase attachment without oracles. Computational Linguistics, 33(4):469-476.
5. Soren Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary G. Ives. 2007. Dbpedia: A nucleus for a web of open data. In The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007., pages 722-735.
6. Michele Banko, Michael J Cafarella, Stephen Soderland, Matthew Broadhead, and Oren Etzioni. 2007. Open information extraction for the web. In IJCAI, volume 7, pages 2670-2676.
7. Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008. Freebase: A collaboratively created graph database for structuring human knowledge. In Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD 08, pages 1247-1250.
8. Eric Brill and Philip Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. In 15th International Conference on Computational Linguistics, COLING, pages 1198-1204.
9. Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka, Jr., and Tom M. Mitchell. 2010. Coupled semi-supervised learning for information extraction. In Proceedings of the Third ACM International Conference on Web Search and Data Mining, WSDM 10, pages 101-110.
10. Michael Collins and James Brooks. 1995. Prepositional phrase attachment through a backed-off model. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 27-38.
11. Marie-Catherine de Marneffe, Bill MacCartney, and Christopher D. Manning. 2006. Generating typed dependency parses from phrase structure parses. In Proceedings of the International Conference on Language Recources and Evaluation (LREC, pages 449-454.
12. Luciano Del Corro and Rainer Gemulla. 2013. Clausie: Clause-based open information extraction. In Proceedings of the 22Nd International Conference on World Wide Web, WWW 13, pages 355-366.
13. A. P. Dempster, N. M. Laird, and D. B. Rubin. 1977. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society, Series B, 39(1):1-38.
14. Anthony Fader, Stephen Soderland, and Oren Etzioni. 2011a. Identifying relations for open information extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP 11, pages 1535-1545.
15. Anthony Fader, Stephen Soderland, and Oren Etzioni. 2011b. Identifying relations for open information extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 1535-1545. Association for Computational Linguistics.
16. Christiane Fellbaum, editor. 1998. WordNet: An electronic lexical database. MIT Press.
17. Lyn Frazier. 1978. On comprehending sentences: Syntactic parsing strategies. Ph.D.Thesis, University of Connecticut.
18. Sanda M. Harabagiu and Marius Pasca. 1999. Integrating symbolic and statistical methods for prepositional phrase attachment. In Proceedings of the Twelfth International Florida Artificial Intelligence Research Society ConferenceFLAIRS, pages 303-307.
19. Donald Hindle and Mats Rooth. 1993. Structural ambiguity and lexical relations. Computational Linguistics, 19(1):103-120.
20. Dirk Hovy, Ashish Vaswani, Stephen Tratz, David Chiang, and Eduard Hovy. 2011. Models and training for unsupervised preposition sense disambiguation. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Short Papers-Volume 2, pages 323-328.
21. John Kimball. 1988. Seven principles of surface structure parsing in natural language. Cognition, 2:15-47.
22. Karin Kipper, Anna Korhonen, Neville Ryant, and Martha Palmer. 2008. A large-scale classification of english verbs. Language Resources and Evaluation, 42(1):21-40.
23. Dan Klein and Christopher D. Manning. 2003. Accurate unlexicalized parsing. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, ACL, pages 423-430.
24. Ni Lao, Tom Mitchell, and William W Cohen. 2011. Random walk inference and learning in a large scale knowledge base. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 529-539. Association for Computational Linguistics.
25. Jeff Mitchell and Mirella Lapata. 2008. Vector-based models of semantic composition. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, ACL, pages 236-244.
26. Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil Antonios Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Tanti Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, and Joel Welling. 2015. Never-ending learning. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA., pages 2302-2310.
27. Ndapandula Nakashole and Tom M. Mitchell. 2014. Language-Aware truth assessment of fact candidates. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, June 22-27, 2014, Baltimore, MD, USA, Volume 1: Long Papers, pages 1009-1019.
28. Ndapandula Nakashole and Gerhard Weikum. 2012. Real-Time population of knowledge bases: opportunities and challenges. In Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, pages 41-45. Association for Computational Linguistics.
29. Ndapandula Nakashole, Martin Theobald, and Gerhard Weikum. 2011. Scalable knowledge harvesting with high precision and high recall. In Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, WSDM 11, pages 227-236.
30. Ndapandula Nakashole, Tomasz Tylenda, and Gerhard Weikum. 2013. Fine-grained semantic typing of emerging entities. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, ACL, pages 1488-1497.
31. Kamal Nigam, Andrew McCallum, Sebastian Thrun, and Tom M. Mitchell. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):103-134.
32. Patrick Pantel and Dekang Lin. 2000. An unsupervised approach to prepositional phrase attachment using contextually similar words. In 38th Annual Meeting of the Association for Computational Linguistics, ACL.
33. Adwait Ratnaparkhi, Jeff Reynar, and Salim Roukos. 1994. A maximum entropy model for prepositional phrase attachment. In Proceedings of the Workshop on Human Language Technology, HLT 94, pages 250-255.
34. Adwait Ratnaparkhi. 1998. Statistical models for unsupervised prepositional phrase attachement. In 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, COLING-ACL, pages 1079-1085.
35. Vivek Srikumar and Dan Roth. 2013. Modeling semantic relations expressed by prepositions. TACL, 1:231-242.
36. Jiri Stetina and Makoto Nagao. 1997. Prepositional phrase attachment through a backed-off model. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 66-80.
37. Fabian M Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007. Yago: A core of semantic knowledge. In Proceedings of the 16th international conference on World Wide Web, pages 697-706. ACM.
38. Kristina Toutanova, Christopher D. Manning, and Andrew Y. Ng. 2004. Learning random walk models for inducing word dependency distributions. In Machine Learning, Proceedings of the Twenty-first International Conference, ICML.
39. Olga van Herwijnen, Antal van den Bosch, Jacques M. B. Terken, and Erwin Marsi. 2003. Learning PP attachment for filtering prosodic phrasing. In 10th Conference of the European Chapter of the Association for Computational Linguistics, EACL, pages 139-146.
40. Greg Whittemore, Kathleen Ferrara, and Hans Brunner. 1990. Empirical study of predictive powers od simple attachment schemes for post-modifier prepositional phrases. In 28th Annual Meeting of the Association for Computational Linguistics, ACL, pages 23-30.
41. Derry Wijaya, Ndapandula Nakashole, and Tom Mitchell. 2014. Ctps: Contextual temporal profiles for time scoping facts via entity state change detection. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
42. Shaojun Zhao and Dekang Lin. 2004. A nearestneighbor method for resolving pp-Attachment ambiguity. In Natural Language Processing-First International Joint Conference, IJCNLP, pages 545-554