Jan 19, 2021 · This task has been described as a valuable testing ground for the development of semantic representations, and is a key component in natural ...
Jan 22, 2021 · In this paper we explore a narrow subset of inferences that are used in natural language, namely entailment and contradiction. A. Natural ...
In this work, we analyze hypothesis-only models trained on one of the recast datasets provided in Poliak et al. [2] for word-level patterns.
This work analyzes hypothesis-only models trained on one of the recast datasets provided in Poliak et al. Natural Language Inference (NLI) or Recognizing ...
In this paper, we consider an effect on inference results for truth-qualified natural language propositions involving fuzzy quantigiers by truth-qualifiers.
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference · When Truth Matters - Addressing Pragmatic Categories in Natural ...
Here we explore the question: do NLI datasets contain statistical irregularities that allow hypothesis-only models to outperform the datasets specific prior? We ...
Natural Language Inference (NLI) or Recognizing Textual Entailment (RTE) is the task of predicting the entailment relation between a pair of sentences (premise ...
Our analysis suggests that statistical irregularities may allow a model to perform NLI in some datasets beyond what should be achievable without access to the ...
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Kanishka Misra's Post · Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference · Explore topics · Sign in to view more content.