Word Sense and Subjectivity

Subjectivity and meaning are both important properties of language. This paper explores their interaction, and brings empirical evidence in support of the hypotheses that (1) subjectivity is a property that can be associated with word senses, and (2) word sense disambiguation can directly benefit from subjectivity annotations.

[1]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[2]  Soo-Min Kim,et al.  Determining the Sentiment of Opinions , 2004, COLING.

[3]  Ellen Riloff,et al.  Learning Extraction Patterns for Subjective Expressions , 2003, EMNLP.

[4]  Claire Cardie,et al.  Multi-Perspective Question Answering Using the OpQA Corpus , 2005, HLT.

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

[6]  Andrea Esuli,et al.  Determining the semantic orientation of terms through gloss analysis , 2005, CIKM 2005.

[7]  Adam Kilgarriff,et al.  The Senseval-3 English lexical sample task , 2004, SENSEVAL@ACL.

[8]  Razvan C. Bunescu,et al.  Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques , 2003, Third IEEE International Conference on Data Mining.

[9]  Ellen Riloff,et al.  Exploiting Subjectivity Classification to Improve Information Extraction , 2005, AAAI.

[10]  Bing Liu,et al.  Mining and summarizing customer reviews , 2004, KDD.

[11]  Andrea Esuli,et al.  Determining the semantic orientation of terms through gloss classification , 2005, CIKM '05.

[12]  Oren Etzioni,et al.  Extracting Product Features and Opinions from Reviews , 2005, HLT.

[13]  Bo Pang,et al.  A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts , 2004, ACL.

[14]  J. Kamps,et al.  Words with attitude , 2002 .

[15]  Janyce Wiebe,et al.  Learning Subjective Adjectives from Corpora , 2000, AAAI/IAAI.

[16]  Vasileios Hatzivassiloglou,et al.  Predicting the Semantic Orientation of Adjectives , 1997, ACL.

[17]  David M. Pennock,et al.  Mining the peanut gallery: opinion extraction and semantic classification of product reviews , 2003, WWW '03.

[18]  Claire Cardie,et al.  Annotating Expressions of Opinions and Emotions in Language , 2005, Lang. Resour. Evaluation.

[19]  Dekang Lin,et al.  Automatic Retrieval and Clustering of Similar Words , 1998, ACL.

[20]  Peter D. Turney.  Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.

[21]  Hwee Tou Ng,et al.  Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach , 1996, ACL.

[22]  David D. Lewis,et al.  An evaluation of phrasal and clustered representations on a text categorization task , 1992, SIGIR '92.

[23]  Julie Weeds,et al.  Finding Predominant Word Senses in Untagged Text , 2004, ACL.

[24]  Jan Svartvik,et al.  A __ comprehensive grammar of the English language , 1988 .

[25]  Hong Yu,et al.  Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences , 2003, EMNLP.

[26]  David W. Conrath,et al.  Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy , 1997, ROCLING/IJCLCLP.