Natural Language Inference with Transformer Ensembles and Explainability Techniques
Electronics (Switzerland)Natural language inference (NLI) is a fundamental and quite challenging task in natural language processing, requiring efficient methods that are able to determine whether given hypotheses derive from given premises.
Isidoros Perikos, Spyro Souli
exaly +2 more sources
Constructing a Natural Language Inference dataset using generative neural networks
Computer Speech and Language, 2017Dunja Mladenić
exaly
CAM: A Combined Attention Model for Natural Language Inference [PDF]
, 2018 Natural Language Inference (NLI) is a fundamental step towards natural language understanding. The task aims to detect whether a premise entails or contradicts a given hypothesis.
Bradley, Steven +4 more
core +8 more sources
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
doaj +3 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +3 more sources
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
doaj +3 more sources
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
doaj +2 more sources