A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books

*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

Volumn 1, Issue , 2013, Pages 241-247

  Goldberg, Yoav ^a   Orwant, Jon ^b  

^a BAR ILAN UNIVERSITY   (Israel)

^b GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SYNTACTICS;

DEPENDENCY TREES; LARGE CORPORA; LEXICAL SEMANTICS; N-GRAMS; SYNTACTIC REPRESENTATION; TEMPORAL INFORMATION;

SEMANTICS;

EID: 84943742382     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Mohit Bansal and Dan Klein. 2011. Web-scale features for full-scale parsing. In ACL, pages 693–702.
2. Marco Baroni and Alessandro Lenci. 2010. Distributional memory: A general framework for corpus-based semantics. Computational Linguistics, 36(4):673–721.
3. Marco Baroni, Silvia Bernardini, Adriano Ferraresi, and Eros Zanchetta. 2009. The wacky wide web: a collection of very large linguistically processed web-crawled corpora. Language Resources and Evaluation, 43(3):209–226.
4. Eugene Charniak. 2000. Bllip 1987-89 wsj corpus release 1. In Linguistic Data Consortium, Philadelphia.
5. Wenliang Chen, Junichi Kazama, Kiyotaka Uchimoto, and Kentaro Torisawa. 2009. Improving dependency parsing with subtrees from auto-parsed data. In EMNLP, pages 570–579.
6. Raphael Cohen, Yoav Goldberg, and Michael Elhadad. 2012. Domain adaptation of a dependency parser with a class-class selectional preference model. In Proceedings of ACL 2012 Student Research Workshop, pages 43–48, Jeju Island, Korea, July. Association for Computational Linguistics.
7. Marie-Catherine de Marneffe and Christopher D. Manning. 2008a. Stanford dependencies manual. Technical report, Stanford University.
8. Marie-Catherine de Marneffe and Christopher D. Manning. 2008b. The stanford typed dependencies representation. In Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation, CrossParser’08, pages 1–8, Stroudsburg, PA, USA. Association for Computational Linguistics.
9. Katrin Erk and Sebastian Padó. 2008. A structured vector space model for word meaning in context. In Proceedings of EMNLP, Honolulu, HI. To appear.
10. Katrin Erk, Sebastian Padó, and Ulrike Padó. 2010. A flexible, corpus-driven model of regular and inverse selectional preferences. Computational Linguistics, 36(4):723–763.
11. Zellig Harris. 1954. Distributional structure. Word, 10(23):146–162.
12. John Judge, Aoife Cahill, and Josef van Genabith. 2006. Questionbank: Creating a corpus of parse-annotated questions. In Proc. of ACL, pages 497–504. Association for Computational Linguistics.
13. Terry Koo, Xavier Carreras, and Michael Collins. 2008. Simple semi-supervised dependency parsing. In Proc. of ACL, pages 595–603.
14. Henry Kucera and W. Nelson Francis. 1967. Computational Analysis of Present-Day American English. Brown University Press.
15. Dekang Lin and Patrick Pantel. 2001. Dirt: discovery of inference rules from text. In KDD, pages 323–328.
16. Yuri Lin, Jean-Baptiste Michel, Erez Aiden Lieberman, Jon Orwant, Will Brockman, and Slav Petrov. 2012. Syntactic annotations for the google books ngram corpus. In ACL (System Demonstrations), pages 169–174.
17. Dekang Lin. 1998. Automatic retrieval and clustering of similar words. In Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2, ACL’98, pages 768–774, Stroudsburg, PA, USA. Association for Computational Linguistics.
18. Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19:313–330.
19. Jean-Baptiste Michel, Yuan Kui Shen, Aviva Presser Aiden, Adrian Veres, Matthew K. Gray, The Google Books Team, Joseph P. Pickett, Dale Hoiberg, Dan Clancy, Peter Norvig, Jon Orwant, Steven Pinker, Martin A. Nowak, and Erez Lieberman Aiden. 2011. Quantitative analysis of culture using millions of digitized books. Science, 331(6014):176–182.
20. Courtney Napoles, Matthew Gormley, and Benjamin Van Durme. 2012. Annotated gigaword. In AKBC-WEKEX Workshop at NAACL 2012, June.
21. Sebastian Padó and Mirella Lapata. 2007. Dependency-based construction of semantic space models. Computational Linguistics, 33(2):161–199.
22. Emily Pitler. 2012. Attacking parsing bottlenecks with unlabeled data and relevant factorizations. In ACL, pages 768–776.
23. Alan Ritter, Mausam, and Oren Etzioni. 2010. A latent dirichlet allocation method for selectional preferences. In ACL, pages 424–434.
24. Kenji Sagae and Andrew S. Gordon. 2009. Clustering words by syntactic similarity improves dependency parsing of predicate-argument structures. In IWPT, pages 192–201.
25. Diarmuid Ó Séaghdha. 2010. Latent variable models of selectional preference. In ACL, pages 435–444.
26. Libin Shen, Jinxi Xu, and Ralph M. Weischedel. 2008. A new string-to-dependency machine translation algorithm with a target dependency language model. In ACL, pages 577–585.
27. P.D. Turney and P. Pantel. 2010. From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research, 37(1):141–188.
28. Fei Wu and Daniel S. Weld. 2010. Open information extraction using wikipedia. In ACL, pages 118–127.
29. Yue Zhang and Stephen Clark. 2008. A tale of two parsers: Investigating and combining graph-based and transition-based dependency parsing. In Proc. of EMNLP, pages 562–571.
30. Yue Zhang and Joakim Nivre. 2011. Transition-based dependency parsing with rich non-local features. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 188–193.