@inbook{Hirst1998,
	title = {Lexical chains as representations of context for the detection and
	correction of malapropisms},
	author = {Graeme Hirst and David St Onge},
	chapter = {WordNet: An electronic lexical database},
	editor = {Christiane Fellbaum},
	pages = {305--332},
	publisher = {MIT Press},
	url = {http://www.jaist.ac.jp/~nguyenml/Paper/hirst97lexical.pdf},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/2cba3e99a1318957acafcf65a9768444a/marcoalvarez},
	abstract = {Natural language utterances are, in general, highly ambiguous, and
	a unique interpretation can usually be determined only by taking
	into account the constraining influence of the context in which the
	utterance occurred. Much of the research in natural language understanding
	in the last twenty years can be thought of as attempts to characterize
	and represent context and then derive interpretations that fit best
	with that context. Typically, this research was heavy with AI, taking
	context to be nothing less than a complete conceptual understanding
	of the preceding utterances. This was reasonable, as such an understanding
	of a text was often the main task anyway. However, there are many
	text-processing tasks that require only a partial understanding of
	the text, and hence a �lighter� representation of context is sufficient.
	In this paper, we examine the idea of lexical chains as such a representation.
	We show how they can be constructed by means of WordNet, and how
	they can be applied in one particular linguistic task: the detection
	and correction of malapropisms.},
	timestamp = {2007.05.18}, owner = {Marco},
	keywords = {SemanticSimilarity WordNet }
}

@inproceedings{Budanitsky2001,
	title = {Semantic distance in wordnet: an experimental, application-oriented
	evaluation of five measures},
	address = {Pittsburgh, PA, US},
	author = {Alexander Budanitsky and Graeme Hirst},
	booktitle = {Workshop on WordNet and Other Lexical Resources, Second Meeting of
	the North American Chapter of the ACL},
	month = {June},
	url = {http://ftp.cs.toronto.edu/pub/gh/Budanitsky+Hirst-2001.pdf},
	year = {2001},
	biburl = {http://www.bibsonomy.org/bibtex/26ad11ae4d4a87a7c231f5f66f46fc1e6/marcoalvarez},
	abstract = {Five different proposed measures of similarity or semantic distance
	in WordNet were experimentally compared by examining their performance
	in a real-word spelling correction system. It was found that Jiang
	and Conrath�smeasure gave the best results overall. That of Hirst
	and St-Onge seriously over-related, that of Resnik seriously under-related,
	and those of Lin and of Leacock and Chodorow fell in between.},
	keywords = {SemanticSimilarity WordNet }
}

@article{Budanitsky2006,
	title = {Evaluating WordNet-based Measures of Lexical Semantic Relatedness},
	author = {Alexander Budanitsky and Graeme Hirst},
	journal = {Computational Linguistics},
	number = {1},
	pages = {13--47},
	url = {http://www.cs.toronto.edu/pub/gh/Budanitsky+Hirst-2004.pdf},
	volume = {32},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2cfd7c510a33c5cb7a3d69aa5c18cc8ed/marcoalvarez},
	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.},
	keywords = {SemanticSimilarity WordNet }
}

@article{budanitsky2006lsr,
	title = {Evaluating WordNet-based Measures of Lexical Semantic Relatedness},
	author = {Alexander Budanitsky and Graeme Hirst},
	journal = {Computational Linguistics},
	month = {March},
	number = {1},
	pages = {13--47},
	publisher = {MIT Press},
	url = {http://dx.doi.org/10.1162/089120106776173093},
	volume = {32},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2cfd7c510a33c5cb7a3d69aa5c18cc8ed/brightbyte},
	description = {stuff from citeyoulike},
	issn = {0891-2017}, citeulike-article-id = {548343}, priority = {2}, doi = {10.1162/089120106776173093},
	keywords = {relatedness semantic wordnet }
}

@inproceedings{hirst_phonetic_2005,
	title = {Phonetic and Phonological annotation of speech prosody},
	address = {Associazione Italiana di Scienze della Voce, Salerno},
	author = {Daniel Hirst},
	booktitle = { 2° Convegno Nazionale "Analisi prosodica: teorie, modelli e sistemi
	di annotazione"},
	month = {December},
	url = {http://www.parlaritaliano.it/aisv2005/TR/Invited/TR\_Hirst.pdf},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/253ec4f845f7a60c5aa24e9ba503ea649/federico.arias.recabarren},
	keywords = {INTSINT phonetics prosody speech }
}

@misc{6084,
	title = {Phonetic and Phonological annotation of speech prosody},
	author = {Daniel Hirst},
	month = {December},
	url = {http://www.parlaritaliano.it/aisv2005/TR/Invited/TR\_Hirst.pdf},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/2b751f437852891d370f555f710d13bf5/federico.arias.recabarren},
	posted-at = {2008-04-28 05:44:31}, priority = {2}, citeulike-article-id = {2727305},
	keywords = {intsint phonetics prosody speech }
}

@article{journals/bioinformatics/StoutBHK08,
	title = {Prediction of recursive convex hull class assignments for protein residues.},
	author = {Michael Stout and Jaume Bacardit and Jonathan D. Hirst and Natalio Krasnogor},
	journal = {Bioinformatics},
	number = {7},
	pages = {916-923},
	url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics24.html#StoutBHK08},
	volume = {24},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2f9f41cf95ad4e5c8f5017adcd82b98b6/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1093/bioinformatics/btn050}, date = {2008-04-04},
	keywords = {dblp }
}

@misc{hirst97lexical,
	title = {Lexical Chains as representation of context for the detection and correction
    malapropisms},
	author = {G. Hirst and D. St-Onge},
	url = {citeseer.ist.psu.edu/hirst97lexical.html},
	year = {1997},
	biburl = {http://www.bibsonomy.org/bibtex/2c7017d380511206230432d580b457426/stumme},
	text = {Hirst G., St-Onge D. 1997. Lexical Chains as representation of context
    for the detection and correction malapropisms. In C. Fellbaum, editor, WordNet:
    An electronic lexical database and some of its applications. Cambrige, MA:
    The MIT Press.},
	keywords = {hirst lexical relatedness semantic similarity }
}

@inproceedings{Morris2004,
	title = {The Subjectivity of Lexical Cohesion in Text},
	address = {Stanford, US},
	author = {Jane Morris and Graeme Hirst},
	booktitle = {Proceedings of the AAAI Spring Symposium on Exploring Attitude and
	Affect in Text: Theories and Applications},
	url = {http://ftp.cs.toronto.edu/pub/gh/Morris+Hirst-2004-EAAT.pdf},
	year = {2004},
	biburl = {http://www.bibsonomy.org/bibtex/28267249ca414d8b7d88d3e3a448d633c/subjectivity},
	timestamp = {2008.03.27}, owner = {cem},
	keywords = {analysis sentiment subjectivity }
}

@inproceedings{Inkpen2004,
	title = {Generating more-positive or more-negative text},
	address = {Stanford, California},
	author = {Diana Zaiu Inkpen and Olga Feiguina and Graeme Hirst},
	booktitle = {Proceedings of the AAAI Spring Symposium on Exploring Attitude and
	Affect in Text: Theories and Applications},
	url = {http://www.site.uottawa.ca/~diana/publications/affect_workshop.pdf},
	year = {2004},
	biburl = {http://www.bibsonomy.org/bibtex/2be4825963eff4f2c6deae726f2128c28/subjectivity},
	timestamp = {2008.03.28}, owner = {cem},
	keywords = {analysis sentiment subjectivity }
}