A Test Collection for Coreferent Mention Retrieval
| Autor: | Rashmi Sankepally, Benjamin Van Durme, Douglas W. Oard, Tongfei Chen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Coreference
business.industry Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL 010102 general mathematics 05 social sciences computer.software_genre 01 natural sciences Test (assessment) Task (project management) Linguistic Data Consortium Entity linking Query by Example Artificial intelligence 0509 other social sciences 0101 mathematics 050904 information & library sciences business computer Natural language processing Sentence computer.programming_language |
| Zdroj: | SIGIR |
| DOI: | 10.1145/3209978.3210139 |
| Popis: | This paper introduces the coreferent mention retrieval task, in which the goal is to retrieve sentences that mention a specific entity based on a query by example in which one sentence mentioning that entity is provided. The development of a coreferent mention retrieval test collection is then described. Results are presented for five coreferent mention retrieval systems, both to illustrate the use of the collection and to specify the results that were pooled on which human coreference judgments were performed. The new test collection is built from content that is available from the Linguistic Data Consortium; the partitioning and human annotations used to create the test collection atop that content are being made freely available. |
| Databáze: | OpenAIRE |
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