Relevant bibliographies by topics / Roget's Thesaurus

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Roget's Thesaurus'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Roget's Thesaurus"

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Morrison, Clinton. "Book Review: Roget's Thesaurus of the Bible." Interpretation: A Journal of Bible and Theology 48, no. 2 (April 1994): 216–18. http://dx.doi.org/10.1177/002096430004800231.

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Dolezal, F. "Werner Hullen. Networks and Knowledge in 'Roget's Thesaurus'." International Journal of Lexicography 24, no. 2 (September 1, 2010): 261–65. http://dx.doi.org/10.1093/ijl/ecq028.

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McArthur, Tom. "The redoubtable Roget." English Today 3, no. 4 (October 1987): 36–39. http://dx.doi.org/10.1017/s0266078400003138.

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Elizabeth Kirkpatrick, recently editor of the Chambers Twentieth Century Dictionary, has just completed the latest revision of Roget's Thesaurus for Longman. What is the history and purpose of this now venerable tome?
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Hirschmann, P. N. "The original Roget's thesaurus of english words and phrases." Journal of Dentistry 17, no. 4 (August 1989): 206–7. http://dx.doi.org/10.1016/0300-5712(89)90094-8.

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Nayar, Pramod K. "A history of Roget's Thesaurus : Origins, development, and design (review)." Language 83, no. 2 (2007): 463. http://dx.doi.org/10.1353/lan.2007.0090.

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Cox, James W. "Book Review: II. Biblical Studies: Roget's Thesaurus of the Bible." Review & Expositor 91, no. 2 (May 1994): 267. http://dx.doi.org/10.1177/003463739409100217.

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Hüllen, Werner. "Wilkins's ‘Tables’ and Roget's ‘Thesaurus’: An Investigation into Traditions of Onomasiology." Henry Sweet Society for the History of Linguistic Ideas Bulletin 35, no. 1 (November 2000): 15–26. http://dx.doi.org/10.1080/02674971.2000.11745521.

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Roberts, J. "Werner Hullen. A History of Roget's Thesaurus. Origins, Development, and Design. Oxford: Oxford University Press. 2005. 410 pages. ISBN: 099281998." International Journal of Lexicography 19, no. 3 (May 30, 2006): 321–27. http://dx.doi.org/10.1093/ijl/ecl016.

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Kennedy, Alistair, and Stan Szpakowicz. "Evaluation of automatic updates of Roget’s Thesaurus." Journal of Language Modelling 2, no. 1 (March 17, 2014): 1. http://dx.doi.org/10.15398/jlm.v2i1.78.

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Dolezal, Fredric. "A History of Roget’s Thesaurus by Werner Hüllen." Historiographia Linguistica 32, no. 1-2 (June 8, 2005): 218–27. http://dx.doi.org/10.1075/hl.32.2.14dol.

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Dissertations / Theses on the topic "Roget's Thesaurus"

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Kennedy, Alistair H. "Automatic Supervised Thesauri Construction with Roget’s Thesaurus." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23573.

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Thesauri are important tools for many Natural Language Processing applications. Roget's Thesaurus is particularly useful. It is of high quality and has been in development for over a century and a half. Yet its applications have been limited, largely because the only publicly available edition dates from 1911. This thesis proposes and tests methods of automatically updating the vocabulary of the 1911 Roget’s Thesaurus. I use the Thesaurus as a source of training data in order to learn from Roget’s for the purpose of updating Roget’s. The lexicon is updated in two stages. First, I develop a measure of semantic relatedness that enhances existing distributional techniques. I improve existing methods by using known sets of synonyms from Roget’s to train a distributional measure to better identify near synonyms. Second, I use the new measure of semantic relatedness to find where in Roget’s to place a new word. Existing words from Roget’s are used as training data to tune the parameters of three methods of inserting words. Over 5000 new words and word-senses were added using this process. I conduct two kinds of evaluation on the updated Thesaurus. One is on the procedure for updating Roget’s. This is accomplished by removing some words from the Thesaurus and testing my system's ability to reinsert them in the correct location. Human evaluation of the newly added words is also performed. Annotators must determine whether a newly added word is in the correct location. They found that in most cases the new words were almost indistinguishable from those already existing in Roget's Thesaurus. The second kind of evaluation is to establish the usefulness of the updated Roget’s Thesaurus on actual Natural Language Processing applications. These applications include determining semantic relatedness between word pairs or sentence pairs, identifying the best synonym from a set of candidates, solving SAT-style analogy problems, pseudo-word-sense disambiguation, and sentence ranking for text summarization. The updated Thesaurus consistently performed at least as well or better the original Thesaurus on all these applications.
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Ellman, Jeremy. "Using Roget's thesaurus to determine the similarity of texts." Thesis, University of Sunderland, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324394.

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Jarmasz, Mario. ""Roget's Thesaurus" as a lexical resource for natural language processing." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26493.

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This dissertation presents an implementation of an electronic lexical knowledge base that uses the 1987 Penguin edition of Roget's Thesaurus as the source for its lexical material---the first implementation of a computerized Roget's to use an entire current edition. It explains the steps necessary for taking a machine-readable file and transforming it into a tractable system. Roget's organization is studied in detail and contrasted with WordNet's. We show two applications of the computerized Thesaurus: computing semantic similarity between words and phrases, and building lexical chains in a text. The experiments are performed using well-known benchmarks and the results are compared to those of other systems that use Roget's, WordNet and statistical techniques. Roget's has turned out to be an excellent resource for measuring semantic similarity; lexical chains are easily built but more difficult to evaluate. We also explain ways in which Roget's Thesaurus and WordNet can be combined.
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Kennedy, Alistair. "Analysis and construction of noun hypernym hierarchies to enhance Roget's Thesaurus." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27864.

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Lexical resources are machine-readable dictionaries or lists of words, where semantic relationships between the terms are somehow expressed. These lexical resources have been used for many tasks such as word sense disambiguation and determining semantic similarity between terms. In recent years some research has been put into automatically building lexical resources from large corpora. In this thesis I examine methods of constructing a lexical resource, not from scratch, but rather expanding existing ores. Roget's Thesaurus is a lexical resource that groups terms together based on degrees of semantic relatedness. One of Rogets Thesaurus' weaknesses is that it does not specify the nature of the relationships between terms, it only indicates that there is a relationship. I attempt to label the relationships between terms in the thesaurus. These relationships could include: synonymy, hyponymy/hypernymy and meronymy/holonymy. I examine the Thesaurus for all of these relationships. Sources of these relationships include other lexical resources such as WordNet, and also large corpora and specialized texts such as dictionaries. Roget's Thesaurus has other weaknesses including a somewhat outdated lexicon. Our version of Roget's Thesaurus was created in 1987 and so does not contain words/phrases related to the Internet and other advances since 1987. I examine methods of creating a hypernym hierarchy of nouns. A hierarchy is constructed automatically and evaluated manually by several annotators who are fluent in English. These hypernyms are intended to be used in a system where a human annotator is given a set of hypernyms and indicates which are correct and which are incorrect. This is done to facilitate the process of constructing a lexical resource, a process which was previously done manually. I import over 50,000 hypernym relationships to Roget's Thesaurus. An estimated overall accuracy of 73% is achieved across the entire hypernym set. As a final test the new relationships imported to the Thesaurus are used to improve Roget's Thesaurus capacity of calculating semantic similarity between terms/phrases. The improved similarity function is tested on several applications that make use of semantic similarity. The relationships are also used to improve Roget's Thesaurus' capacity for solving SAT style analogy questions.
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Jobbins, Amanda Caryn. "The contribution of semantics to automatic text processing." Thesis, Nottingham Trent University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302405.

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Books on the topic "Roget's Thesaurus"

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C, Browning D., ed. Roget's thesaurus. Leicester: Gallery Press, 1988.

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Schiller, Andrew. Roget's student thesaurus. New York, NY: HarperCollinsPublishers, 1991.

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L, Chapman Robert, ed. Roget's international thesaurus. London: HarperCollins, 1996.

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Ann, Kipfer Barbara, and Chapman Robert L. 1920-2002, eds. Roget's international thesaurus. 7th ed. New York: Collins, 2010.

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L, Chapman Robert, ed. Roget's international thesaurus. 5th ed. London: Collins, 1992.

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Roget, Peter Mark. New Roget's thesaurus. Miami, Fla: P.S.I. & Associates, 1990.

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Schiller, Andrew. Roget's children's thesaurus. Glenview, Ill: Scott, Foresman, 2000.

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L, Chapman Robert, ed. Roget's international thesaurus. 4th ed. London: Collins, 1988.

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Chapman, R. L. Roget's international thesaurus. 4th ed. London: Harper and Row, 1985.

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Schiller, Andrew. Roget's children's thesaurus. New York: HarperCollinsPublishers, 1991.

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Book chapters on the topic "Roget's Thesaurus"

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Jarmasz, Mario, and Stan Szpakowicz. "Roget’s thesaurus and semantic similarity." In Recent Advances in Natural Language Processing III, 111. Amsterdam: John Benjamins Publishing Company, 2004. http://dx.doi.org/10.1075/cilt.260.12jar.

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Priss, Uta, and L. John Old. "Data Weeding Techniques Applied to Roget’s Thesaurus." In Lecture Notes in Computer Science, 150–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22140-8_10.

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Kennedy, Alistair. "Automatically Expanding the Lexicon of Roget’s Thesaurus." In Advances in Artificial Intelligence, 410–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13059-5_58.

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Ellman, Jeremy, and John Tait. "Roget’s Thesaurus: An additional knowledge source for Textual CBR?" In Research and Development in Intelligent Systems XVI, 204–17. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0745-3_14.

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Old, L. John. "Unlocking the Semantics of Roget’s Thesaurus Using Formal Concept Analysis." In Concept Lattices, 244–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24651-0_22.

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Kim, Sang-Rak, Jae-Gun Yang, and Jae-Hak J. Bae. "Another Investigation of an Interontologia between Chinese Lexical Systems and Roget’s Thesaurus." In Lecture Notes in Computer Science, 126–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15037-1_12.

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Kennedy, Alistair, and Stan Szpakowicz. "Evaluation of a Sentence Ranker for Text Summarization Based on Roget’s Thesaurus." In Text, Speech and Dialogue, 101–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15760-8_14.

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Kim, Sang-Rak, Jae-Gun Yang, and Jae-Hak J. Bae. "An Investigation of an Interontologia: Comparison of the Thousand-Character Text and Roget’s Thesaurus." In Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy, 394–401. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00831-3_40.

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Jarmasz, Mario, and Stan Szpakowicz. "Not as Easy as It Seems: Automating the Construction of Lexical Chains Using Roget’s Thesaurus." In Advances in Artificial Intelligence, 544–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44886-1_48.

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Hüllen, Werner. "Roget's Thesaurus, Deconstructed." In Networks and Knowledge in Roget's Thesaurus, 8–21. Oxford University Press, 2009. http://dx.doi.org/10.1093/acprof:oso/9780199553235.003.0002.

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Conference papers on the topic "Roget's Thesaurus"

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Baumgartner, Jason, and Tim A. Waugh. "Roget2000: a 2D hyperbolic tree visualization of Roget's Thesaurus." In Electronic Imaging 2002, edited by Robert F. Erbacher, Philip C. Chen, Matti Groehn, Jonathan C. Roberts, and Craig M. Wittenbrink. SPIE, 2002. http://dx.doi.org/10.1117/12.458803.

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Mohammad, Saif. "Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget's Thesaurus." In Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/w15-2912.

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Mikhalkova, Elena, and Yuri Karyakin. "PunFields at SemEval-2017 Task 7: Employing Roget's Thesaurus in Automatic Pun Recognition and Interpretation." In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/s17-2072.

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Talburt, John, and Donna Mooney. "An evaluation of type-10 homograph discrimination at the semi-colon level in Roget's International Thesaurus." In the 1990 ACM SIGSMALL/PC symposium. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/99412.99453.

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Mandala, Rila, Takenobu Tokunaga, and Hozumi Tanaka. "Complementing WordNet with Roget's and corpus-based thesauri for information retrieval." In the ninth conference. Morristown, NJ, USA: Association for Computational Linguistics, 1999. http://dx.doi.org/10.3115/977035.977049.

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Sedelow, Sally Yeates, and Walter A. Sedelow. "Recent model-based and model-related studies of a large scale lexical resource [Roget's thesaurusl]." In the 14th conference. Morristown, NJ, USA: Association for Computational Linguistics, 1992. http://dx.doi.org/10.3115/992424.992469.

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