| Author | Search for: Carpuat, Marine1; Search for: Daume III, Hal; Search for: Henry, Katie; Search for: Irvine, Ann; Search for: Jagarlamudi, Jagadeesh; Search for: Rudinger, Rachel |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Article |
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| Conference | 51st Annual Meeting of the Association for Computational Linguistics, August 4-9 2013, Sofia, Bulgaria |
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| Abstract | Words often gain new senses in new domains. Being able to automatically identify, from a corpus of monolingual text, which word tokens are being used in a previously unseen sense has applications to machine translation and other tasks sensitive to lexical semantics. We define a task, SenseSpotting, in which we build systems to spot tokens that have new senses in new domain text. Instead of difficult and expensive annotation, we build a goldstandard by leveraging cheaply available parallel corpora, targeting our approach to the problem of domain adaptation for machine translation. Our system is able to achieve F-measures of as much as 80%, when applied to word types it has never seen before. Our approach is based on a large set of novel features that capture varied aspects of how words change when used in new domains. |
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| Publication date | 2013 |
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| Publisher | Association for Computational Linguistics |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23000603 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 559b8e7b-80bf-4aec-a2a0-33ddb4572af4 |
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| Record created | 2016-08-04 |
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| Record modified | 2020-04-22 |
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