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RECOGNIZING TEXTUAL ENTAILMENT can be found in the following ACL ARC 1.0 documents (click to explore): 
- (ACL ID: H05-1049) robust textual inference via graph matching
- (ACL ID: N06-1005) effectively using syntax for recognizing false entailment
- (ACL ID: N06-1006) learning to recognize features of valid textual entailments
- (ACL ID: P06-1051) automatic learning of textual entailments with cross-pair similarities
- (ACL ID: P06-1135) improving qa accuracy by question inversion
- (ACL ID: P06-2105) a logic-based semantic approach to recognizing textual entailment
- (ACL ID: W05-1202) the distributional similarity of sub-parses
- (ACL ID: W05-1209) generating an entailment corpus from news headlines
- (ACL ID: W05-1210) definition and analysis of intermediate entailment levels
- (ACL ID: W06-0705) using scenario knowledge in automatic question answering
- (ACL ID: W06-1603) paraphrase recognition via dissimilarity significance classification
- (ACL ID: W06-1621) lexical reference
- (ACL ID: W06-1673) solving the problem of cascading errors
- (ACL ID: W06-3806) similarity between pairs of co-indexed trees for textual entailment recognition
* See also a list of some of the related terms to recognizing textual entailment.
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This page last edited on 12 October 2025.



