Abstract
We present a simple method for evergrowing extraction of predicate paraphrases from news headlines in Twitter. Analysis of the output of ten weeks of collection shows that the accuracy of paraphrases with different support levels is estimated between 60-86%. We also demonstrate that our resource is to a large extent complementary to existing resources, providing many novel paraphrases. Our resource is publicly available, continuously expanding based on daily news.
| Original language | English |
|---|---|
| Title of host publication | *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 155-160 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781945626531 |
| DOIs | |
| State | Published - 2017 |
| Externally published | Yes |
| Event | 6th Joint Conference on Lexical and Computational Semantics, *SEM 2017 - Vancouver, Canada Duration: 3 Aug 2017 → 4 Aug 2017 |
Publication series
| Name | *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings |
|---|
Conference
| Conference | 6th Joint Conference on Lexical and Computational Semantics, *SEM 2017 |
|---|---|
| Country/Territory | Canada |
| City | Vancouver |
| Period | 3/08/17 → 4/08/17 |
Bibliographical note
Publisher Copyright:© 2017 Association for Computational Linguistics.