Results 11 to 20 of about 52,458 (341)
The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference [PDF]
PeerJ Computer ScienceNatural language inference (NLI) is a fundamental task in natural language processing that focuses on determining the relationship between pairs of sentences. In this article, we present a simple and straightforward approach to evaluate the effectiveness
Mohammed Alsuhaibani
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E-SNLI: Natural language inference with natural language explanations [PDF]
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.
Rocktäschel, T +7 more
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Data-Driven Natural Language Inference
, 2022 Natural Language Inference (NLI) research involves the development of models that can mimic human inference processes based on natural language and classify the inference relation between sentences.
Nie, Yixin
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Natural Language Inference with Mixed Effects [PDF]
CoRR, 2020 There is growing evidence that the prevalence of disagreement in the raw annotations used to construct natural language inference datasets makes the common practice of aggregating those annotations to a single label problematic. We propose a generic method that allows one to skip the aggregation step and train on the raw annotations directly without ...
William Gantt +2 more
openaire +4 more sources
Benchmarking Natural Language Inference and Semantic Textual Similarity for Portuguese [PDF]
Information, 2020 Two sentences can be related in many different ways. Distinct tasks in natural language processing aim to identify different semantic relations between sentences.
Pedro Fialho +2 more
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SNLI Indo: A recognizing textual entailment dataset in Indonesian derived from the Stanford Natural Language Inference dataset [PDF]
Data in BriefRecognizing textual entailment (RTE) is an essential task in natural language processing (NLP). It is the task of determining the inference relationship between text fragments (premise and hypothesis), of which the inference relationship is either ...
I Made Suwija Putra +2 more
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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 ...
Alexander Koller +2 more
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Label-aware debiased causal reasoning for Natural Language Inference
AI OpenRecently, researchers have argued that the impressive performance of Natural Language Inference (NLI) models is highly due to the spurious correlations existing in training data, which makes models vulnerable and poorly generalized.
Kun Zhang +5 more
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Automated Inference of Systems Capability from Natural Language Artifacts
SystemsSystems capability is the cognitive ability to plan and execute actions using systems-oriented reasoning. While essential for the design and development of complex systems, it manifests in large organizations primarily through communication and technical
Natansh Vyas, Kristin Falk, Omid Razbani
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Journal of ICT Research and ApplicationsAutomated fact-checking is a key strategy to overcome the spread of COVID-19 misinformation on the internet. These systems typically leverage deep learning approaches through natural language inference (NLI) to verify the truthfulness of information ...
Arief Purnama Muharram, Ayu Purwarianti
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