Results 21 to 30 of about 318,238 (318)
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation [PDF]
AACL, 2022 Negation is poorly captured by current language models, although the extent of this problem is not widely understood. We introduce a natural language inference (NLI) test suite to enable probing the capabilities of NLP methods, with the aim of ...
Thinh Hung Truong +5 more
semanticscholar +1 more source
PeerJ Computer Science, 2022 Detecting negation and uncertainty is crucial for medical text mining applications; otherwise, extracted information can be incorrectly identified as real or factual events.
O. S. Pabón +5 more
semanticscholar +1 more source
“I’m Not Mad”: Commonsense Implications of Negation and Contradiction [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 Natural language inference requires reasoning about contradictions, negations, and their commonsense implications. Given a simple premise (e.g., “I’m mad at you”), humans can reason about the varying shades of contradictory statements ranging from ...
Liwei Jiang +3 more
semanticscholar +1 more source
Context Matters: A Pragmatic Study of PLMs’ Negation Understanding
Annual Meeting of the Association for Computational Linguistics, 2022 In linguistics, there are two main perspectives on negation: a semantic and a pragmatic view. So far, research in NLP on negation has almost exclusively adhered to the semantic view.
Reto Gubelmann, S. Handschuh
semanticscholar +1 more source
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
International Joint Conference on Artificial Intelligence, 2022 The state-of-the-art natural language processing models have raised the bar for excellent performance on a variety of tasks in recent years. However, concerns are rising over their primitive sensitivity to distribution biases that reside in the training ...
Rohan Kumar Yadav +3 more
semanticscholar +1 more source
Negation and Free Choice Inference in Child Mandarin
Frontiers in Psychology, 2020 In sentences with internal negation, Free Choice Inferences (FCIs) are canceled (Chierchia, 2013). The present study investigated the possibility that FCIs are negated, not canceled, by external negation.
Haiquan Huang, Peng Zhou, Stephen Crain
doaj +1 more source
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020 We address whether neural models for Natural Language Inference (NLI) can learn the compositional interactions between lexical entailment and negation, using four methods: the behavioral evaluation methods of (1) challenge test sets and (2) systematic ...
Atticus Geiger +2 more
semanticscholar +1 more source
Interval-valued contractive fuzzy negations [PDF]
, 2010 In this work we consider the concept of contractive interval-valued fuzzy negation, as a negation such that it does not increase the length or amplitude of an interval. We relate this to the concept of Lipschitz function. In particular, we prove that the
Bedregal, Benjamin +4 more
core +1 more source
Double Negation as Minimal Negation
Journal of Logic, Language and Information, 2023 AbstractN. Kamide introduced a pair of classical and constructive logics, each with a peculiar type of negation: its double negation behaves as classical and intuitionistic negation, respectively. A consequence of this is that the systems prove contradictions but are non-trivial.
openaire +2 more sources
An Analysis of Natural Language Inference Benchmarks through the Lens of Negation
Conference on Empirical Methods in Natural Language Processing, 2020 Negation is underrepresented in existing natural language inference benchmarks. Additionally, one can often ignore the few negations in existing benchmarks and still make the right inference judgments.
Md Mosharaf Hossain +5 more
semanticscholar +1 more source