Automatic detection of lexical entailment, or hypernym detection, is an important. NLP task. Recent hypernym detection.
This paper assumes that the DIH sometimes fails, and investigates other ways of quantifying the relationship between the cooccurrence contexts of two terms. We ...
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Distributional Lexical Entailment by Topic Coherence. Author. Rimell, Laura. Conference. Proceedings of the 14th Conference of the European Chapter of the ...
Evaluation on three data sets shows that the distributional-based measures outperform the state-of-the-art approach for this task.
Missing: Entailment | Show results with:Entailment
Distributional lexical entailment by topic coherence. L Rimell. Proceedings of the 14th Conference of the European Chapter of the …, 2014. 60, 2014. Ethical and ...
Feb 10, 2024 · Laura Rimell. 2014. Distributional lexical entailment by · topic coherence. In Proceedings of the 14th Confer- ence of the European Chapter of ...
Each relation is used to infer y from x (x → y) in certain contexts: • I ate an apple → I ate a fruit. • I hate fruit → I hate apples.
Distributional lexical entailment by topic coherence. In Proceedings of EACL, pages. 511–519. Enrico Santus, Alessandro Lenci, Qin Lu, and. Sabine Schulte im ...
In this paper, we introduce the notion of document-based topic coherence and propose novel topic coherence measures that estimate topic coherence based on ...
Missing: Lexical Entailment