@inproceedings{Kim:2005,
  added-at = {2010-02-03T05:45:59.000+0100},
  address = {Jeju, Korea},
  author = {Kim, Su Nam and Baldwin, Timothy},
  biburl = {http://www.bibsonomy.org/bibtex/2287bfcf4b11f05e6bae4b6c7d4f56f41/diego_ma},
  booktitle = {Proceedings of 2nd International Joint Conference on Natual Language Processing},
  interhash = {f32cb5c8bb14264bafda73516b768223},
  intrahash = {287bfcf4b11f05e6bae4b6c7d4f56f41},
  keywords = {compound_nouns WordNet},
  pages = {945--956},
  timestamp = {2010-02-03T05:45:59.000+0100},
  title = {Automatic Interpretation of Compound Nouns using {WordNet} Similarity},
  year = 2005
}

@inproceedings{Clark:2008,
  abstract = {Over the last few years there has been increased research in automated question-answering from text, including questions whose answer is implied, rather than explicitly stated, in the text. WordNet has played a central role in many such systems (e.g., 21 of the 26 teams in the recent PASCAL RTE3 challenge used WordNet), and thus WordNet is being increasingly stretched to play more semantic tasks in applications. As part of our current research, we are exploring some of the new demands which question-answering places on WordNet, and how it might be further extended to meet them. In this paper, we present some of these new requirements, and some of the extensions that we are currently making to WordNet in response.},
  added-at = {2008-09-17T10:42:20.000+0200},
  author = {Clark, Peter and Fellbaum, Christiane and Hobbs, Jerry},
  biburl = {http://www.bibsonomy.org/bibtex/20bed8b17a920ab8ab380ba4945b69e7b/diego_ma},
  booktitle = {Proc. Fourth Global WordNet Conference (GWC'08)},
  interhash = {6f59c5594928ea2abc619226362f3dfd},
  intrahash = {0bed8b17a920ab8ab380ba4945b69e7b},
  keywords = {entailment question_answering wordnet},
  timestamp = {2008-09-17T10:42:20.000+0200},
  title = {Using and Extending WordNet to Support Question-Answering},
  url = {http://www.cs.utexas.edu/users/pclark/papers/gwa08-extending-wordnet.pdf},
  year = 2008
}

@book{ZZZ-Fellbaum:1998,
  added-at = {2007-12-14T02:49:24.000+0100},
  address = {Cambrige, MA},
  biburl = {http://www.bibsonomy.org/bibtex/2eed7acab65be746b232cdc77b6ce8a24/diego_ma},
  booktitle = {WordNet: an electronic lexical database},
  editor = {Fellbaum, Christiane},
  interhash = {42daa1681607dd1d3f3234c605d84ec3},
  intrahash = {eed7acab65be746b232cdc77b6ce8a24},
  keywords = {WordNet},
  publisher = {MIT Press},
  series = {Language, Speech, and Communication},
  timestamp = {2007-12-14T02:49:24.000+0100},
  title = {WordNet: an electronic lexical database},
  year = 1998
}

@misc{Wagner:1999,
  added-at = {2007-12-14T02:47:56.000+0100},
  author = {Wagner, Andreas},
  biburl = {http://www.bibsonomy.org/bibtex/2376da4e28585eefaadcfd6c092833e6f/diego_ma},
  interhash = {7ef89f90a735f1ab5d78605119a564f9},
  intrahash = {376da4e28585eefaadcfd6c092833e6f},
  keywords = {talk_presentation WordNet},
  note = {Talk given at IFI},
  timestamp = {2007-12-14T02:47:56.000+0100},
  title = {Integration von GermaNet in EuroWordNet, eine multilinguale lexikalisch-semantische Datenbank},
  year = 1999
}

@article{Resnik:1999,
  abstract = {This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their effectiveness.},
  added-at = {2007-12-14T02:45:37.000+0100},
  author = {Resnik, Philip},
  biburl = {http://www.bibsonomy.org/bibtex/23d2969db6df305b60ee5ce220045c0cc/diego_ma},
  interhash = {f10519367ccaa8a06ce5bc02ccec3270},
  intrahash = {3d2969db6df305b60ee5ce220045c0cc},
  journal = {Journal of Artificial Intelligence Research},
  keywords = {WordNet semantic_closeness},
  pages = {95-130},
  timestamp = {2007-12-14T02:45:37.000+0100},
  title = {Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language},
  url = {http://www.cs.washington.edu/research/jair/abstracts/resnik99a.html},
  volume = 11,
  year = 1998
}

@inproceedings{Moldovan:2002b,
  abstract = {The paper presents a method for finding topically related words on an extended WordNet. By exploiting the information in the WordNet glosses, the connectivity between the synsets is dramatically increased. Topical relations expressed as lexical chains on extended WordNet improve the performance of a question answering system by increasing the document retrieval recall and by providing the much needed axioms that link question keywords with answers.},
  added-at = {2007-12-14T02:43:33.000+0100},
  author = {Moldovan, Dan and Novischi, Adrian},
  biburl = {http://www.bibsonomy.org/bibtex/2ebe2a87ee89998f7233bfbb20dc28545/diego_ma},
  booktitle = {Proc. COLING 2002},
  interhash = {d3c613f5546a7f5ce54e416d03cf7974},
  intrahash = {ebe2a87ee89998f7233bfbb20dc28545},
  keywords = {question_answering WordNet},
  timestamp = {2007-12-14T02:43:33.000+0100},
  title = {Lexical Chains for Question Answering},
  url = {http://xwn.hlt.utdallas.edu/papers.html},
  year = 2002
}

@article{Miller:1990,
  added-at = {2007-12-14T02:43:26.000+0100},
  author = {Miller, G. A. and Beckwith, R. and Fellbaum, C. and Gross, D. and Miller, K. J.},
  biburl = {http://www.bibsonomy.org/bibtex/21e5a44ad8ae07021a8b687aa38fbb991/diego_ma},
  interhash = {d61e6e1fa4584d5eb7724c52454d3209},
  intrahash = {1e5a44ad8ae07021a8b687aa38fbb991},
  journal = {International Journal of Lexicography},
  keywords = {WordNet},
  number = 4,
  pages = {235-244},
  timestamp = {2007-12-14T02:43:26.000+0100},
  title = {Introduction to Wordnet: an on-line lexical database},
  volume = 3,
  year = 1990
}

@inproceedings{Pasca:2001:2,
  abstract = {Finding information of interest from large text collections requires knowledge that goeas beyond the use of several lexical keywords. The WordNet linguistic database encodes massive semantic, morphologic and pragmatic knowledge. This paper explores the art of finding and using linguistic knowledge from WordNet for high-performance textual Question Answering.},
  added-at = {2007-12-14T02:42:57.000+0100},
  author = {sca Marius Pa\ and Harabagiu, Sanda M.},
  biburl = {http://www.bibsonomy.org/bibtex/220ee9f2a07d68f95bf0fb14052f15c51/diego_ma},
  booktitle = {Proceedings of the NAACL 2001 Workshop on WordNet and Other Lexical Resources: Applications, Extensions and Customizations},
  interhash = {757c3120df9d8f28986d623fec60f6a3},
  intrahash = {20ee9f2a07d68f95bf0fb14052f15c51},
  keywords = {question_answering WordNet},
  pages = {138-143},
  timestamp = {2007-12-14T02:42:57.000+0100},
  title = {The Informative Role of {WordNet} in Open-Domain Question Answering},
  year = 2001
}

@article{Lenat:1995,
  abstract = {Authors Doug Lenat, George Miller, and Toshio Yokoi critique and defend one another's systems, ideas, and approaches to AI developments},
  added-at = {2007-12-14T02:42:18.000+0100},
  author = {Lenat, Doug and Miller, George and Yokoi, Toshio},
  biburl = {http://www.bibsonomy.org/bibtex/24c48efdd51e9b3df65dcdd5c81be4427/diego_ma},
  interhash = {342ef44c78ec45bcf4c19071031c40a0},
  intrahash = {4c48efdd51e9b3df65dcdd5c81be4427},
  journal = {Communications of the ACM},
  keywords = {resources Cyc WordNet},
  number = 11,
  pages = {45-48},
  timestamp = {2007-12-14T02:42:18.000+0100},
  title = {{CYC}, {WordNet}, and {EDR}: Critiques and Responses},
  volume = 38,
  year = 1995
}

@inproceedings{Harabagiu:1999:2,
  abstract = {This paper presents an on-going project intended to enhance WordNet morphologically and semantically. The motivation for this work steams from the current limitations of WordNet when used as a linguistic knowledge base. We envision a software tool that automatically parses the conceptual defining glosses, attributing part-of-speech tags and phrasal brackets. The nouns, verbs, adjectives and adverbs from every definition are linked to the corresponding synsets. This increases the connectivity between synsets allowing the retrieval or topically related concepts. Furthermore, the tool transforms the glosses, first into logical forms and then into semantic forms. Using derivational morphology new links are added between the synsets.},
  added-at = {2007-12-14T02:39:59.000+0100},
  author = {Harabagiu, Sanda M. and Miller, George A. and Moldovan, Dan I.},
  biburl = {http://www.bibsonomy.org/bibtex/235dbfe198718db0c6a995bcd32ff5108/diego_ma},
  booktitle = {Proc. SIGLEX 1999},
  interhash = {a79f6d24005eb83f1ae48eb36fa24cf7},
  intrahash = {35dbfe198718db0c6a995bcd32ff5108},
  keywords = {WordNet logical_forms},
  timestamp = {2007-12-14T02:39:59.000+0100},
  title = {{WordNet} 2 -- A Morphologically and Semantically Enhanced Resource},
  url = {http://xwn.hlt.utdallas.edu/papers.html},
  year = 1999
}

@inproceedings{Harabagiu:2000,
  abstract = {In this paper we present a new method of automatic acquisition of linguistic patterns for Information Extraction, as implemented in the CICERO system. Our approach combines lexico-semantic information available from the WordNet database with collocating data extracted from training corpora. Due to the open-domain nature of the WordNet information and the immediate availability of large collections of texts, our method can be easily ported to open-domain Information Extraction.},
  added-at = {2007-12-14T02:39:57.000+0100},
  author = {Harabagiu, Sanda M. and Maiorano, Steven J.},
  biburl = {http://www.bibsonomy.org/bibtex/28d0e1f520803bed0df16f9b2b7d4279f/diego_ma},
  booktitle = {Proc. LREC-2000},
  interhash = {b6e86701aa642b8a38417a69621199d8},
  intrahash = {8d0e1f520803bed0df16f9b2b7d4279f},
  keywords = {inf_extraction WordNet},
  timestamp = {2007-12-14T02:39:57.000+0100},
  title = {Acquisition of Linguistic Patterns for Knowledge-Based Information Extraction},
  url = {http://www.seas.smu.edu/\~{}sanda/papers.html},
  year = 2000
}

@inproceedings{Gangemi:2001,
  abstract = {In this paper we propose an analysis and an upgrade of WordNet's top-level synset taxonomy. We briefly review WordNet and identify its main semantic limitations. Some principles from a forthcoming OntoClean methodology are applied to the ontological analysis of WordNet. A revised top-level taxonomy is proposed, which is meant to be more conceptually rigorous, cognitively transparent, and efficiently exploitable in several applications.},
  added-at = {2007-12-14T02:39:13.000+0100},
  author = {Gangemi, Aldo and Guarino, Nicola and Oltramari, Alessandro},
  biburl = {http://www.bibsonomy.org/bibtex/2367e614234de2c92a6f26ae523885555/diego_ma},
  interhash = {796fb143ecdfb41c2f5d8f9b87a3b988},
  intrahash = {367e614234de2c92a6f26ae523885555},
  keywords = {WordNet},
  timestamp = {2007-12-14T02:39:13.000+0100},
  title = {Conceptual Analysis of Lexical Taxonomies: The Case of {WordNet} Top-Level},
  year = 2001
}

@article{Budanitsky:2006,
  abstract = {The quantification of lexical semantic relatedness has many applications in NLP, and many different measures have been proposed. We evaluate five of these measures, all of which use WordNet as their central resource, by comparing their performance in detecting and correcting real-word spelling errors. An information-content--based measure proposed by Jiang and Conrath is found superior to those proposed by Hirst and St-Onge, Leacock and Chodorow, Lin, and Resnik. In addition, we explain why distributional similarity is not an adequate proxy for lexical semantic relatedness.},
  added-at = {2007-12-14T02:36:48.000+0100},
  author = {Budanitsky, Alexander and Hirst, Graeme},
  biburl = {http://www.bibsonomy.org/bibtex/23229b21fd737a3eaeb73764042de7a43/diego_ma},
  interhash = {b43c0b6eeed2222d28cc93512ebe4a9f},
  intrahash = {3229b21fd737a3eaeb73764042de7a43},
  journal = {Computational Linguistics},
  keywords = {WordNet},
  number = 1,
  pages = {13-47},
  timestamp = {2007-12-14T02:36:48.000+0100},
  title = {Evaluating WordNet-based Measures of Semantic Distance},
  url = {http://www.cs.toronto.edu/compling/Publications/Abstracts/Papers/Budanitsky+Hirst-2006-abs.html},
  volume = 32,
  year = 2006
}