What Syntax Can Contribute in the Entailment Task

By Lucy Vanderwende, William B. Dolan. 2005

91 citations recorded by the source corpus.

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In Artificial Intelligence

Citations in the corpus

The Third PASCAL Recognizing Textual Entailment Challenge (2007, result): “This approach is related to an earlier observation in (Vanderwende et al., 2005), which suggested that it is often easier to detect false entailment.”
The Second PASCAL Recognising Textual Entailment Challenge (2006, result): “This approach is related to an earlier observation in (Vanderwende et al., 2005), which suggested that it is often easier to detect false entailment.”
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation (2018, background): “Examples in the early Pascal RTE datasets could be correctly predicted based on syntax alone (Vanderwende and Dolan, 2006; Vanderwende et al., 2006).”
Recognizing textual entailment: Rational, evaluation and approaches – Erratum (2010, background): “H pairs whose categorization as true or false can be accurately predicted based solely on syntactic cues has been carried out in Vanderwende and Dolan (2006).”
Recognizing textual entailment: Rational, evaluation and approaches (2009, background): “H pairs whose categorization as true or false can be accurately predicted based solely on syntactic cues has been carried out in Vanderwende and Dolan (2006).”
The Role of Sentence Structure in Recognizing Textual Entailment (2007, background): “Earlier findings such as ( Vanderwende, Coughlin, & Dolan, 2005 ) also suggest that sentence structure plays an important role in recognizing textual entailment and paraphrasing accurately.”
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training (2020, background): “In the past, machine reading datasets were also found to contain syntactic clues that were giving away the correct prediction (Vanderwende and Dolan, 2005; Snow et al., 2006).”