Natural language inference for Malayalam language using language agnostic sentence representation [PDF]
PeerJ Computer Science, 2021 Natural language inference (NLI) is an essential subtask in many natural language processing applications. It is a directional relationship from premise to hypothesis.
Sara Renjit, Sumam Idicula
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AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas [PDF]
Frontiers in Artificial Intelligence, 2022 Little attention has been paid to the development of human language technology for truly low-resource languages—i.e., languages with limited amounts of digitally available text data, such as Indigenous languages.
Katharina Kann +17 more
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Implementing Natural Language Inference for comparatives
Journal of Language Modelling, 2023 This paper presents a computational framework for Natural Language Inference (NLI) using logic-based semantic representations and theorem-proving. We focus on logical inferences with comparatives and other related constructions in English, which are ...
Izumi Haruta +2 more
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Evaluating Deep Learning Techniques for Natural Language Inference
Applied Sciences, 2023 Natural language inference (NLI) is one of the most important natural language understanding (NLU) tasks. NLI expresses the ability to infer information during spoken or written communication.
Petros Eleftheriadis +2 more
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TurkMedNLI: a Turkish medical natural language inference dataset through large language model based translation [PDF]
PeerJ Computer ScienceNatural language inference (NLI) is a subfield of natural language processing (NLP) that aims to identify the contextual relationship between premise and hypothesis sentences.
İskender Ülgen Oğul +2 more
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MelAnalyze: fact-checking melatonin claims using large language models and natural language inference [PDF]
BMC Medical Informatics and Decision MakingWith the explosion of health related information in mainstream discourse, distinguishing accurate health-related claims from misinformation is important. Using computational tools and algorithms to help is key.
Nikitha Karkera +3 more
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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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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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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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Natural language inference by deep learning method [PDF]
MATEC Web of Conferences, 2022 Natural Language inference refers to the problem of determining the relationships between a premise and a hypothesis, it is an emerging area of natural language processing. The paper uses deep learning methods to complete natural language inference task.
Li Saihan, Hu Zhijie, Cao Rong
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