Abstract
The main aim of this study is to develop a naturallanguage inference (NLI) engine that ismore robust than typical systems that are basedon post-Montague approaches to semantics andmore accurate than the kinds of shallow approachesusually used for textual entailment, Theterm robustness is concerned with processing asmany inputs as possible successfully, and theterm accuracy is concerned with producing correctresult. In recent years, several approacheshave been proposed for NLI. These approachesrange from shallow approaches to deep approaches.However, each approach has a numberof limitations, which we discuss in this paper. Weargue that all approaches to NLI share a commonarchitecture, and that it may be possible to overcomethe limitations inherent in the existing approachesby combining elements of both kindsof strategy.
| Original language | English |
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| Title of host publication | Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora |
| Editors | Octavian Popescu, Alberto Lavelli, Octavian Popescu |
| Place of Publication | Trentino – Italy |
| Publisher | Curran Associates Incorporated |
| Pages | 60-64 |
| Number of pages | 5 |
| Publication status | Published - 20 Nov 2013 |
| Event | JSSP2013 - Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora - Trentino – Italy Duration: 20 Nov 2013 → 22 Nov 2013 |
Conference
| Conference | JSSP2013 - Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora |
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| City | Trentino – Italy |
| Period | 20/11/13 → 22/11/13 |
Keywords
- natural language, dependency tree , theorem prover, textual entailment , logical form