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Textual entailment graphs
| Content Provider | Scilit |
|---|---|
| Author | Kotlerman, Lili Dagan, Ido Magnini, Bernardo Bentivogli, Luisa |
| Copyright Year | 2015 |
| Description | In this work, we present a novel type of graphs for natural language processing (NLP), namely textual entailment graphs (TEGs). We describe the complete methodology we developed for the construction of such graphs and provide some baselines for this task by evaluating relevant state-of-the-art technology. We situate our research in the context of text exploration, since it was motivated by joint work with industrial partners in the text analytics area. Accordingly, we present our motivating scenario and the first gold-standard dataset of TEGs. However, while our own motivation and the dataset focus on the text exploration setting, we suggest that TEGs can have different usages and suggest that automatic creation of such graphs is an interesting task for the community. |
| Related Links | http://pdfs.semanticscholar.org/615b/1353bacacb3774d7dc88a3ce243c84559333.pdf https://www.cambridge.org/core/services/aop-cambridge-core/content/view/253698CF66DEBE13D6351A41A6F0EA15/S1351324915000108a.pdf/div-class-title-textual-entailment-graphs-div.pdf |
| Ending Page | 724 |
| Page Count | 26 |
| Starting Page | 699 |
| ISSN | 13513249 |
| e-ISSN | 14698110 |
| DOI | 10.1017/s1351324915000108 |
| Journal | Natural Language Engineering |
| Issue Number | 5 |
| Volume Number | 21 |
| Language | English |
| Publisher | Cambridge University Press (CUP) |
| Publisher Date | 2015-11-01 |
| Access Restriction | Open |
| Subject Keyword | Natural Language Engineering Information Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Linguistics and Language Software |
