Results 21 to 30 of about 8,049,290 (285)
Natural Language Inference with Monotonicity [PDF]
Proceedings of the 13th International Conference on Computational Semantics - Short Papers, 2019 This paper describes a working system which performs natural language inference using polarity-marked parse trees. The system handles all of the instances of monotonicity inference in the FraCaS data set. Except for the initial parse, it is entirely deterministic.
Hai Hu 0001, Qi Chen, Larry Moss
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Dialogue Natural Language Inference [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 Consistency is a long standing issue faced by dialogue models. In this paper, we frame the consistency of dialogue agents as natural language inference (NLI) and create a new natural language inference dataset called Dialogue NLI. We propose a method which demonstrates that a model trained on Dialogue NLI can be used to improve the consistency of a ...
Sean Welleck +3 more
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Temporal Reasoning in Natural Language Inference [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 We introduce five new natural language inference (NLI) datasets focused on temporal reasoning. We recast four existing datasets annotated for event duration—how long an event lasts—and event ordering—how events are temporally arranged—into more than one million NLI examples.
Siddharth Vashishtha +4 more
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Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora [PDF]
, 2022 Within textual emotion classification, the set of relevant labels depends on the domain and application scenario and might not be known at the time of model development.
Plaza-del-Arco, Flor Miriam +2 more
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Fuzzy logic expert system for evaluating the activity of university teachers
International Journal of Assessment Tools in Education, 2021 Assessing the performance of academics at different levels is increasingly difficult to achieve using traditional methods based mainly on numerical scores in evaluating teaching and research activity.
V. Florin Popescu, M. Sorin Pistol
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Alignment Rationale for Natural Language Inference [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Deep learning models have achieved great success on the task of Natural Language Inference (NLI), though only a few attempts try to explain their behaviors. Existing explanation methods usually pick prominent features such as words or phrases from the input text. However, for NLI, alignments among words or phrases are more enlightening clues to explain
Zhongtao Jiang +4 more
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Evaluating Sentence Representations for Biomedical Text: Methods and Experimental Results [PDF]
, 2020 Text representations ar one of the main inputs to various Natural Language Processing (NLP) methods. Given the fast developmental pace of new sentence embedding methods, we argue that there is a need for a unified methodology to assess these different ...
Tawfik, N. +3 more
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Variational Inference for Learning Representations of Natural Language Edits
, 2021 Performance Evaluation of Edit Representations (PEER), the dataset we use in the paper "Variational Inference for Learning Representations of Natural Language Edits"
Reid, Machel +2 more
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Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference [PDF]
, 2022 The task of abductive natural language inference (\alpha{}nli), to decide which hypothesis is the more likely explanation for a set of observations, is a particularly difficult type of NLI.
Srivastav, Vaibhav +5 more
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Natural causes of language: Frames, biases, and cultural transmission [PDF]
, 2014 What causes a language to be the way it is? Some features are universal, some are inherited, others are borrowed, and yet others are internally innovated.
Enfield, N.J.; University of Sydney
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