Methods for Using Textual Entailment in Open-Domain Question Answering (2006 · 289 citations)
Harabagiu and Hickl ask whether a system built to recognize textual entailment (TE) can make open-domain question answering (Q/A) more accurate.
A Discourse Commitment-Based Framework for Recognizing Textual Entailment (2007 · 103 citations)
Hickl and Bensley tackle Recognizing Textual Entailment (RTE). They argue that shallow overlap or graph-alignment methods will break down as text–hypothesis pairs grow longer and more complex. Their alternative first spells out the discourse commitments of each passage: the propositions a conventional reading forces…
What in the world is a Shahab?: Wide Coverage Named Entity Recognition for Arabic (2006 · 13 citations)
The paper addresses the narrow coverage of most named entity recognizers. MUC-era systems handled up to 8 types and CoNLL systems only 4. Prior Arabic NER work was also very limited: TAGARAB covered 5 types on a small corpus. The authors built CiceroArabic, a supervised NER system for Modern Standard Arabic that…

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Papers of our library cite their works 89 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated 30 October 2026