Who cites «An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words»

27 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. A Knowledge-Intensive Model for Prepositional Phrase Attachment — 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
2. Prepositional Phrase Attachment Problem Revisited: how Verbnet can Help — our card · 2015 · Proceedings of the 11th International Conference on Computational Semantics
3. Selectional Preferences for Semantic Role Classification — 2013 · Computational Linguistics
4. Parse Correction with Specialized Models for Difficult Attachment Types — 2011 · Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing
5. Sentence Analysis and Collocation Identification — 2010 · Proceedings of the 2010 Workshop on Multiword Expressions: from Theory to Applications
6. Generalizing over Lexical Features: Selectional Preferences for Semantic Role Classification — 2009 · Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
7. Prepositions in Applications: A Survey and Introduction to the Special Issue — 2009 · Computational Linguistics
8. Prepositional Phrase Attachment without Oracles — our card · 2007
9. The Benefit of Stochastic PP Attachment to a Rule-Based Parser — 2006 · Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions
10. Clustering Syntactic Positions with Similar Semantic Requirements — 2005 · Computational Linguistics
11. PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples — 2005 · Second International Joint Conference on Natural Language Processing: Full Papers
12. PP-attachment Disambiguation using Large Context — 2005 · Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
13. Using the Web as an Implicit Training Set: Application to Structural Ambiguity Resolution — 2005 · Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
14. High Precision Extraction of Grammatical Relations — 2002 · COLING 2002: The 19th International Conference on Computational Linguistics
15. arnold-2025-steering-prepositional-phrases-language-models
16. bourigault-2006-acquisition-et-evaluation-sur-corpus
17. coppola-2011-simple-semi-supervised-learning-prepositional
18. do-2020-parsers-know-best-german-pp
19. evert-2010-distributional-semantic-models
20. greenberg-2014-disambiguating-prepositional-phrase-attachment-sites
21. hovy-2015-mining-unambiguous-instances-adapt-part
22. li-2003-phrasenet-context-sensitive-lexical-semantics
23. li-2015-crf-method-identifying-prepositional-phrases
24. pan-2007-computing-semantic-similarity-between-skill
25. schwartz-2004-multilingual-corpus-based-approach-resolution
26. tsang-2010-graph-theoretic-framework-semantic-distance
27. zeldes-2009-quantifying-constructional-productivity-unseen-slot

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