Sense Discriminative Patterns for Word Sense Disambiguation

Given a target word wi to be disambiguated, we define a class of local contexts for wi such that the sense of wi is univocally determined. We call such local contexts sense discriminative and represent them with sense discriminative (SD) patterns of lexico-syntactic features. We describe an algorithm for the automatic acquisition of minimal SD patterns based on training data in SemCor. We have tested the effectiveness of the approach on a set of 30 highly ambiguous verbs. Results compare favourably with the ones produced by a SVM word sense disambiguation system based on bag of words.

[1]  Diana McCarthy,et al.  Disambiguating Noun and Verb Senses Using Automatically Acquired Selectional Preferences , 2001, *SEMEVAL.

[2]  Michael Collins,et al.  Prepositional Phrase Attachment through a Backed-off Model , 1995, VLC@ACL.

[3]  Ted Briscoe.  From dictionary to corpus to self-organizing dictionary: learning valency associations in the face of variation and change , 2001 .

[4]  Mirella Lapata,et al.  Verb Class Disambiguation Using Informative Priors , 2004, CL.

[5]  Makoto Nagao,et al.  Corpus Based PP Attachment Ambiguity Resolution with a Semantic Dictionary , 1997, VLC.

[6]  Ted Pedersen,et al.  SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts , 2005, ACL.

[7]  Hiroaki Sato,et al.  Seeing Arguments through Transparent Structures , 2002, LREC.

[8]  Patrick Pantel,et al.  Discovery of inference rules for question-answering , 2001, Natural Language Engineering.

[9]  Martha Palmer,et al.  Investigating Regular Sense Extensions Based on Intersective Levin Classes , 1998, COLING-ACL.

[10]  Hwee Tou Ng,et al.  An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation , 2002, EMNLP.

[11]  Michael Collins,et al.  Head-Driven Statistical Models for Natural Language Parsing , 2003, CL.

[12]  Ellen M. Voorhees,et al.  Towards Building Contextual Representations of Word Senses Using Statistical Models , 1996 .

[13]  Donald Hindle,et al.  Noun Classification From Predicate-Argument Structures , 1990, ACL.

[14]  Lei Shi,et al.  Putting Pieces Together: Combining FrameNet, VerbNet and WordNet for Robust Semantic Parsing , 2005, CICLing.

[15]  Adwait Ratnaparkhi,et al.  A Linear Observed Time Statistical Parser Based on Maximum Entropy Models , 1997, EMNLP.

[16]  Evelyne Viegas,et al.  Breadth and depth of semantic lexicons , 1999 .

[17]  David Yarowsky,et al.  Word-Sense Disambiguation Using Statistical Models of Roget’s Categories Trained on Large Corpora , 2010, COLING.

[18]  Ted Pedersen,et al.  Learning Probabilistic Models of Word Sense Disambiguation , 2007, ArXiv.

[19]  Yorick Wilks,et al.  The Interaction of Knowledge Sources in Word Sense Disambiguation , 2001, CL.

[20]  Ted Briscoe,et al.  High Precision Extraction of Grammatical Relations , 2001, COLING.