Difference between revisions of "Annotated Bibliography on Statistical Semantics"

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* Delavenay, E. (1960). ''An Introduction to Machine Translation'', New York, NY: Thames and Hudson.
+
Delavenay, E. (1960). ''An Introduction to Machine Translation'', New York, NY: Thames and Hudson.
  
 
:: This book includes one of the earliest definitions of the term ''statistical semantics''.
 
:: This book includes one of the earliest definitions of the term ''statistical semantics''.
  
* Firth, J.R. (1957). A synopsis of linguistic theory 1930-1955. In ''Studies in Linguistic Analysis'', pp. 1-32. Oxford: Philological Society. Reprinted in F.R. Palmer (ed.), ''Selected Papers of J.R. Firth 1952-1959'', London: Longman (1968).
+
Firth, J.R. (1957). A synopsis of linguistic theory 1930-1955. In ''Studies in Linguistic Analysis'', pp. 1-32. Oxford: Philological Society. Reprinted in F.R. Palmer (ed.), ''Selected Papers of J.R. Firth 1952-1959'', London: Longman (1968).
  
* Frank, E., Paynter, G.W., Witten, I.H., Gutwin, C., and Nevill-Manning, C.G. (1999). Domain-specific keyphrase extraction. In ''Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99)'', pp. 668-673. California: Morgan Kaufmann.
+
:: Firth wrote that "a word is characterized by the company it keeps".
  
* Furnas, G.W., Landauer, T.K., Gomez, L.M., and Dumais, S.T. (1983). Statistical semantics: Analysis of the potential performance of keyword information systems. ''Bell System Technical Journal'', 62(6):1753-1806.
+
Frank, E., Paynter, G.W., Witten, I.H., Gutwin, C., and Nevill-Manning, C.G. (1999). Domain-specific keyphrase extraction. In ''Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99)'', pp. 668-673. California: Morgan Kaufmann.
  
* Furnas, G.W. (2006). [http://www.si.umich.edu/people/faculty-detail.htm?sid=41 Faculty Profile: George Furnas], University of Michigan, School of Information, URL verified on October 2, 2006.
+
:: A Naive Bayes supervised learning algorithm is used to extract important words and phrases from documents. The features that characterize keyphrases include early occurrence and relatively high frequency in the given document.
  
* Hearst, M.A. (1992). Automatic acquisition of hyponyms from large text corpora. In ''Proceedings of the Fourteenth International Conference on Computational Linguistics'', pages 539–545, Nantes, France.
+
Furnas, G.W., Landauer, T.K., Gomez, L.M., and Dumais, S.T. (1983). Statistical semantics: Analysis of the potential performance of keyword information systems. ''Bell System Technical Journal'', 62(6):1753-1806.
  
* Landauer, T.K., and Dumais, S.T. (1997). A solution to Plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. ''Psychological Review'', 104(2):211–240.
+
:: A foundational paper on statistical semantics.
  
* Lund, K., Burgess, C., and Atchley, R.A. (1995). Semantic and associative priming in high-dimensional semantic space. In ''Proceedings of the 17th Annual Conference of the Cognitive Science Society'', pages 660-665.
+
Hearst, M.A. (1992). Automatic acquisition of hyponyms from large text corpora. In ''Proceedings of the Fourteenth International Conference on Computational Linguistics'', pages 539–545, Nantes, France.
  
* Pantel, P., and Lin, D. (2002). Discovering word senses from text. In ''Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining'', pages 613–619.
+
:: A widely cited paper that shows how simple lexical-syntactic patterns can be used to mine text for semantic relations, such as hyponymy.
  
* Terra, E., and Clarke, C.L.A. (2003). Frequency estimates for statistical word similarity measures. In ''Proceedings of the Human Language Technology and North American Chapter of Association of Computational Linguistics Conference 2003 (HLT/NAACL 2003)'', pages 244–251.
+
Landauer, T.K., and Dumais, S.T. (1997). A solution to Plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. ''Psychological Review'', 104(2):211–240.
  
* Turney, P.D. (2000). Learning algorithms for keyphrase extraction. ''Information Retrieval'', 2(4), 303-336. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0212020 OAI arXiv.org:cs/0212020]
+
Lund, K., Burgess, C., and Atchley, R.A. (1995). Semantic and associative priming in high-dimensional semantic space. In ''Proceedings of the 17th Annual Conference of the Cognitive Science Society'', pages 660-665.
  
* Turney, P.D. (2001). Answering subcognitive Turing Test questions: A reply to French. ''Journal of Experimental and Theoretical Artificial Intelligence'', 13(4), 409-419. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0212015 OAI arXiv.org:cs/0212015]
+
Pantel, P., and Lin, D. (2002). Discovering word senses from text. In ''Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining'', pages 613–619.
  
* Turney, P.D. (2003). Coherent keyphrase extraction via Web mining, In ''Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03)'', Acapulco, Mexico, 434-439. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0308033 OAI arXiv.org:cs/0308033]
+
Terra, E., and Clarke, C.L.A. (2003). Frequency estimates for statistical word similarity measures. In ''Proceedings of the Human Language Technology and North American Chapter of Association of Computational Linguistics Conference 2003 (HLT/NAACL 2003)'', pages 244–251.
  
* Turney, P.D. (2004). Word sense disambiguation by Web mining for word co-occurrence probabilities. In ''Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (SENSEVAL-3)'', Barcelona, Spain, pp. 239-242. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0407065 OAI arXiv.org:cs/0407065]
+
Turney, P.D. (2000). Learning algorithms for keyphrase extraction. ''Information Retrieval'', 2(4), 303-336. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0212020 OAI arXiv.org:cs/0212020]
  
* Turney, P.D. (2006), Similarity of semantic relations. ''Computational Linguistics'', 32(3), 379-416. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0608100 OAI arXiv.org:cs/0608100]
+
Turney, P.D. (2001). Answering subcognitive Turing Test questions: A reply to French. ''Journal of Experimental and Theoretical Artificial Intelligence'', 13(4), 409-419. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0212015 OAI arXiv.org:cs/0212015]
  
* Turney, P.D., and Littman, M.L. (2003). Measuring praise and criticism: Inference of semantic orientation from association, ''ACM Transactions on Information Systems (TOIS)'', 21(4), 315-346. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0309034 OAI arXiv.org:cs/0309034]
+
Turney, P.D. (2003). Coherent keyphrase extraction via Web mining, In ''Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03)'', Acapulco, Mexico, 434-439. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0308033 OAI arXiv.org:cs/0308033]
  
* Turney, P.D., and Littman, M.L. (2005). Corpus-based learning of analogies and semantic relations. ''Machine Learning'', 60(1–3):251–278. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0508103 OAI arXiv.org:cs/0508103]
+
Turney, P.D. (2004). Word sense disambiguation by Web mining for word co-occurrence probabilities. In ''Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (SENSEVAL-3)'', Barcelona, Spain, pp. 239-242. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0407065 OAI arXiv.org:cs/0407065]
  
* Turney, P.D., Littman, M.L., Bigham, J., and Shnayder, V. (2003). Combining independent modules to solve multiple-choice synonym and analogy problems. In ''Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP-03)'', Borovets, Bulgaria, pp. 482-489. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0309035 OAI arXiv.org:cs/0309035]
+
Turney, P.D. (2006), Similarity of semantic relations. ''Computational Linguistics'', 32(3), 379-416. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0608100 OAI arXiv.org:cs/0608100]
  
* Weaver, W. (1955). Translation. In W.N. Locke and D.A. Booth (eds.), ''Machine Translation of Languages'', Cambridge, MA: MIT Press. ISBN 0-8371-8434-7
+
Turney, P.D., and Littman, M.L. (2003). Measuring praise and criticism: Inference of semantic orientation from association, ''ACM Transactions on Information Systems (TOIS)'', 21(4), 315-346. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0309034 OAI arXiv.org:cs/0309034]
 +
 
 +
Turney, P.D., and Littman, M.L. (2005). Corpus-based learning of analogies and semantic relations. ''Machine Learning'', 60(1–3):251–278. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0508103 OAI arXiv.org:cs/0508103]
 +
 
 +
Turney, P.D., Littman, M.L., Bigham, J., and Shnayder, V. (2003). Combining independent modules to solve multiple-choice synonym and analogy problems. In ''Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP-03)'', Borovets, Bulgaria, pp. 482-489. [http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0309035 OAI arXiv.org:cs/0309035]
 +
 
 +
Weaver, W. (1955). Translation. In W.N. Locke and D.A. Booth (eds.), ''Machine Translation of Languages'', Cambridge, MA: MIT Press. ISBN 0-8371-8434-7

Revision as of 09:38, 6 November 2006

Delavenay, E. (1960). An Introduction to Machine Translation, New York, NY: Thames and Hudson.

This book includes one of the earliest definitions of the term statistical semantics.

Firth, J.R. (1957). A synopsis of linguistic theory 1930-1955. In Studies in Linguistic Analysis, pp. 1-32. Oxford: Philological Society. Reprinted in F.R. Palmer (ed.), Selected Papers of J.R. Firth 1952-1959, London: Longman (1968).

Firth wrote that "a word is characterized by the company it keeps".

Frank, E., Paynter, G.W., Witten, I.H., Gutwin, C., and Nevill-Manning, C.G. (1999). Domain-specific keyphrase extraction. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99), pp. 668-673. California: Morgan Kaufmann.

A Naive Bayes supervised learning algorithm is used to extract important words and phrases from documents. The features that characterize keyphrases include early occurrence and relatively high frequency in the given document.

Furnas, G.W., Landauer, T.K., Gomez, L.M., and Dumais, S.T. (1983). Statistical semantics: Analysis of the potential performance of keyword information systems. Bell System Technical Journal, 62(6):1753-1806.

A foundational paper on statistical semantics.

Hearst, M.A. (1992). Automatic acquisition of hyponyms from large text corpora. In Proceedings of the Fourteenth International Conference on Computational Linguistics, pages 539–545, Nantes, France.

A widely cited paper that shows how simple lexical-syntactic patterns can be used to mine text for semantic relations, such as hyponymy.

Landauer, T.K., and Dumais, S.T. (1997). A solution to Plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review, 104(2):211–240.

Lund, K., Burgess, C., and Atchley, R.A. (1995). Semantic and associative priming in high-dimensional semantic space. In Proceedings of the 17th Annual Conference of the Cognitive Science Society, pages 660-665.

Pantel, P., and Lin, D. (2002). Discovering word senses from text. In Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 613–619.

Terra, E., and Clarke, C.L.A. (2003). Frequency estimates for statistical word similarity measures. In Proceedings of the Human Language Technology and North American Chapter of Association of Computational Linguistics Conference 2003 (HLT/NAACL 2003), pages 244–251.

Turney, P.D. (2000). Learning algorithms for keyphrase extraction. Information Retrieval, 2(4), 303-336. OAI arXiv.org:cs/0212020

Turney, P.D. (2001). Answering subcognitive Turing Test questions: A reply to French. Journal of Experimental and Theoretical Artificial Intelligence, 13(4), 409-419. OAI arXiv.org:cs/0212015

Turney, P.D. (2003). Coherent keyphrase extraction via Web mining, In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, 434-439. OAI arXiv.org:cs/0308033

Turney, P.D. (2004). Word sense disambiguation by Web mining for word co-occurrence probabilities. In Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (SENSEVAL-3), Barcelona, Spain, pp. 239-242. OAI arXiv.org:cs/0407065

Turney, P.D. (2006), Similarity of semantic relations. Computational Linguistics, 32(3), 379-416. OAI arXiv.org:cs/0608100

Turney, P.D., and Littman, M.L. (2003). Measuring praise and criticism: Inference of semantic orientation from association, ACM Transactions on Information Systems (TOIS), 21(4), 315-346. OAI arXiv.org:cs/0309034

Turney, P.D., and Littman, M.L. (2005). Corpus-based learning of analogies and semantic relations. Machine Learning, 60(1–3):251–278. OAI arXiv.org:cs/0508103

Turney, P.D., Littman, M.L., Bigham, J., and Shnayder, V. (2003). Combining independent modules to solve multiple-choice synonym and analogy problems. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP-03), Borovets, Bulgaria, pp. 482-489. OAI arXiv.org:cs/0309035

Weaver, W. (1955). Translation. In W.N. Locke and D.A. Booth (eds.), Machine Translation of Languages, Cambridge, MA: MIT Press. ISBN 0-8371-8434-7