Speech in Parts Understanding and Modelling the Semantic Differences between Words
SSRN Electronic Journal
2011
- 299Usage
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Article Description
This thesis is about the problem of differences in lexical semantics with a special emphasis on antonymy. It explores part-of-speech as a means to formalize semantic differences computationally, enhance the performance of computational linguistic tasks and aid in the understanding of lexical semantics more broadly. The thesis begins with an overview of how antonymy has been studied within experimental psychology and the major schools of theoretical linguistics as well as a review of the semantic foundations of part-of-speech. It then turns to computational experiments that use part-of-speech as a primitive organizing principle, including a source categorization task and four automatic antonym identification experiments, which with few exceptions, show results that either meet or exceed human performance. The final chapter presents a computational analysis of semantic markedness and the sequence preferences that that antonyms often demonstrate when they co-occur. The theoretical accounts for these observations are evaluated on the basis of corpus statistics and the thesis concludes with some general observations about the usefulness of computational linguistics in the analysis of semantic theories.
Bibliographic Details
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