Coarse to Fine Grained Sense Disambiguation in Wikipedia

Wikipedia articles are annotated by volunteer contributors with numerous links that connect words and phrases to relevant titles. Links to general senses of a word are used concurrently with links to more specific senses, without being distinguished explicitly. We present an approach to training coarse to fine grained sense disambiguation systems in the presence of such annotation inconsistencies. Experimental results show that accounting for annotation ambiguity in Wikipedia links leads to significant improvements in disambiguation.

[1]  Vincent Ng,et al.  Coreference Resolution with World Knowledge , 2011, ACL.

[2]  Silviu Cucerzan,et al.  Large-Scale Named Entity Disambiguation Based on Wikipedia Data , 2007, EMNLP.

[3]  Razvan C. Bunescu,et al.  Using Encyclopedic Knowledge for Named entity Disambiguation , 2006, EACL.

[4]  Steffen Staab,et al.  Explicit Versus Latent Concept Models for Cross-Language Information Retrieval , 2009, IJCAI.

[5]  Bing Liu,et al.  Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression , 2003, ICML.

[6]  Korris Fu-Lai Chung,et al.  Improving weak ad-hoc queries using wikipedia asexternal corpus , 2007, SIGIR.

[7]  Benno Stein,et al.  A Wikipedia-Based Multilingual Retrieval Model , 2008, ECIR.

[8]  Simone Paolo Ponzetto,et al.  Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution , 2006, NAACL.

[9]  Rada Mihalcea,et al.  Using Wikipedia for Automatic Word Sense Disambiguation , 2007, NAACL.

[10]  Dan Klein,et al.  Simple Coreference Resolution with Rich Syntactic and Semantic Features , 2009, EMNLP.

[11]  David N. Milne.  Computing Semantic Relatedness using Wikipedia Link Structure , 2007 .

[12]  Gilad Mishne,et al.  Using Wikipedia at the TREC QA Track , 2004, TREC.

[13]  Charles Elkan,et al.  Learning classifiers from only positive and unlabeled data , 2008, KDD.

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

[15]  Jennifer Chu-Carroll,et al.  Building Watson: An Overview of the DeepQA Project , 2010, AI Mag..

[16]  Philip S. Yu,et al.  Building text classifiers using positive and unlabeled examples , 2003, Third IEEE International Conference on Data Mining.

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

[18]  Charles Elkan,et al.  Learning to Find Relevant Biological Articles without Negative Training Examples , 2008, Australasian Conference on Artificial Intelligence.

[19]  Simone Paolo Ponzetto,et al.  Knowledge-Rich Word Sense Disambiguation Rivaling Supervised Systems , 2010, ACL.

[20]  Michael Kaisser,et al.  The QuALiM Question Answering Demo: Supplementing Answers with Paragraphs drawn from Wikipedia , 2008, ACL.

[21]  Luciano Serafini,et al.  Using Background Knowledge to Support Coreference Resolution , 2010, ECAI.