Results 31 to 40 of about 8,049,290 (285)
Annotation Difficulties in Natural Language Inference
Anais do XIII Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL 2021), 2021 State-of-the-art models have obtained high accuracy on mainstream Natural Language Inference (NLI) datasets. However, recent research has suggested that the task is far from solved. Current models struggle to generalize and fail to consider the inherent human disagreements in tasks such as NLI.
Aikaterini-Lida Kalouli +4 more
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IndoNLI: A Natural Language Inference Dataset for Indonesian [PDF]
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 Accepted at EMNLP 2021 main ...
Mahendra, Rahmad +4 more
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Second order inference in natural language semantics
Journal of Language Modelling, 2018 In this paper I look at a number of apparently trivial validinferences (as well as some invalid and missing inferences) associatedwith the possessive construction and with different types ofadjectival modification of nouns.
Stephen Guy Pulman
doaj +1 more source
Natural language and inference in a computer game [PDF]
Proceedings of the 19th international conference on Computational linguistics -, 2002 We present an engine for text adventures - computer games with which the player interacts using natural language. The system employs current methods from computational linguistics and an efficient inference system for description logic to make the interaction more natural. The inference system is especially useful in the linguistic modules dealing with
Malte Gabsdil +2 more
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Explaining Simple Natural Language Inference [PDF]
Proceedings of the 13th Linguistic Annotation Workshop, 2019 The vast amount of research introducing new corpora and techniques for semi-automatically annotating corpora shows the important role that datasets play in today’s research, especially in the machine learning community. This rapid development raises concerns about the quality of the datasets created and consequently of the models trained, as recently ...
Aikaterini-Lida Kalouli +4 more
openaire +2 more sources
SICK-NL: A Dataset for Dutch Natural Language Inference [PDF]
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021 To appear at EACL ...
Gijs Wijnholds, Michael Moortgat
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A semantics-aware approach for multilingual natural language inference
, 2023 This paper introduces a semantics-aware approach to natural language inference which allows neural network models to perform better on natural language inference benchmarks.
Le-Hong P. +3 more
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e-SNLI: Natural Language Inference with Natural Language Explanations
CoRR, 2018 In order for machine learning to garner widespread public adoption, models must be able to provide interpretable and robust explanations for their decisions, as well as learn from human-provided explanations at train time. In this work, we extend the Stanford Natural Language Inference dataset with an additional layer of human-annotated natural ...
Camburu, O +3 more
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Enhanced LSTM for Natural Language Inference [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 2017 ACL ...
Qian Chen 0003 +5 more
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Inference of natural language predicates in the open domain [PDF]
, 2023 Inference of predicates in natural language is a common task for humans in everyday scenarios, and thus for natural language processing by machines, such as in question answering. The question Did Arsenal beat Man United?
McKenna, Nicholas
core +1 more source