Paraphrase-Sense-Tagged Sentences
Many natural language processing tasks require discriminating the particular meaning of a word in context, but building corpora for developing sense-aware models can be a challenge. We present a large resource of example usages for words having a particular meaning, called Paraphrase-Sense-Tagged Se...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2019-11-01
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| Series: | Transactions of the Association for Computational Linguistics |
| Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00295 |
| _version_ | 1818808730219708416 |
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| author | Cocos, Anne Callison-Burch, Chris |
| author_facet | Cocos, Anne Callison-Burch, Chris |
| author_sort | Cocos, Anne |
| collection | DOAJ |
| description | Many natural language processing tasks require discriminating the particular meaning of a word in context, but building corpora for developing sense-aware models can be a challenge. We present a large resource of example usages for words having a particular meaning, called Paraphrase-Sense-Tagged Sentences (PSTS). Built on the premise that a word’s paraphrases instantiate its fine-grained meanings (i.e., bug has different meanings corresponding to its paraphrases fly and microbe) the resource contains up to 10,000 sentences for each of 3 million target-paraphrase pairs where the target word takes on the meaning of the paraphrase. We describe an automatic method based on bilingual pivoting used to enumerate sentences for PSTS, and present two models for ranking PSTS sentences based on their quality. Finally, we demonstrate the utility of PSTS by using it to build a dataset for the task of hypernym prediction in context. Training a model on this
automatically generated dataset produces accuracy that is competitive with a model trained on smaller datasets crafted with some manual effort. |
| first_indexed | 2024-12-18T19:46:12Z |
| format | Article |
| id | doaj.art-35fe5b0819ac4ef68cad89ddd12368bf |
| institution | Directory Open Access Journal |
| issn | 2307-387X |
| language | English |
| last_indexed | 2024-12-18T19:46:12Z |
| publishDate | 2019-11-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Transactions of the Association for Computational Linguistics |
| spelling | doaj.art-35fe5b0819ac4ef68cad89ddd12368bf2022-12-21T20:55:19ZengThe MIT PressTransactions of the Association for Computational Linguistics2307-387X2019-11-01771472810.1162/tacl_a_00295Paraphrase-Sense-Tagged SentencesCocos, AnneCallison-Burch, ChrisMany natural language processing tasks require discriminating the particular meaning of a word in context, but building corpora for developing sense-aware models can be a challenge. We present a large resource of example usages for words having a particular meaning, called Paraphrase-Sense-Tagged Sentences (PSTS). Built on the premise that a word’s paraphrases instantiate its fine-grained meanings (i.e., bug has different meanings corresponding to its paraphrases fly and microbe) the resource contains up to 10,000 sentences for each of 3 million target-paraphrase pairs where the target word takes on the meaning of the paraphrase. We describe an automatic method based on bilingual pivoting used to enumerate sentences for PSTS, and present two models for ranking PSTS sentences based on their quality. Finally, we demonstrate the utility of PSTS by using it to build a dataset for the task of hypernym prediction in context. Training a model on this automatically generated dataset produces accuracy that is competitive with a model trained on smaller datasets crafted with some manual effort.https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00295 |
| spellingShingle | Cocos, Anne Callison-Burch, Chris Paraphrase-Sense-Tagged Sentences Transactions of the Association for Computational Linguistics |
| title | Paraphrase-Sense-Tagged Sentences |
| title_full | Paraphrase-Sense-Tagged Sentences |
| title_fullStr | Paraphrase-Sense-Tagged Sentences |
| title_full_unstemmed | Paraphrase-Sense-Tagged Sentences |
| title_short | Paraphrase-Sense-Tagged Sentences |
| title_sort | paraphrase sense tagged sentences |
| url | https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00295 |
| work_keys_str_mv | AT cocosanne paraphrasesensetaggedsentences AT callisonburchchris paraphrasesensetaggedsentences |