Results 11 to 20 of about 318,238 (318)
Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
Entropy, 2022 Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain information in real applications. Recently, a new perspective of modeling uncertain information with the negation of evidence was proposed and has attracted a lot of ...
Yongchuan Tang, Yong Chen, Deyun Zhou
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Deep Learning Approach for Negation Handling in Sentiment Analysis
IEEE Access, 2021 Negation handling is an important sub-task in Sentiment Analysis. Negation plays a significant role in written text. Negation terms in sentence often changes the polarity of entire sentence from positive to negative or vice versa, resulting in the ...
Prakash Kumar Singh, Sanchita Paul
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Corpora Annotated with Negation: An Overview
Computational Linguistics, 2020 Negation is a universal linguistic phenomenon with a great qualitative impact on natural language processing applications. The availability of corpora annotated with negation is essential to training negation processing systems.
Jiménez-Zafra, Salud María +3 more
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Language models are not naysayers: an analysis of language models on negation benchmarks [PDF]
STARSEM, 2023 Negation has been shown to be a major bottleneck for masked language models, such as BERT. However, whether this finding still holds for larger-sized auto-regressive language models (“LLMs”) has not been studied comprehensively.
Thinh Hung Truong +3 more
semanticscholar +1 more source
NevIR: Negation in Neural Information Retrieval [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Negation is a common everyday phenomena and has been a consistent area of weakness for language models (LMs). Although the Information Retrieval (IR) community has adopted LMs as the backbone of modern IR architectures, there has been little to no ...
Orion Weller +2 more
semanticscholar +1 more source
This is not correct! Negation-aware Evaluation of Language Generation Systems [PDF]
International Conference on Natural Language Generation, 2023 Large language models underestimate the impact of negations on how much they change the meaning of a sentence. Therefore, learned evaluation metrics based on these models are insensitive to negations. In this paper, we propose NegBLEURT, a negation-aware
Miriam Anschütz +2 more
semanticscholar +1 more source
Understanding by Understanding Not: Modeling Negation in Language Models [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 Negation is a core construction in natural language. Despite being very successful on many tasks, state-of-the-art pre-trained language models often handle negation incorrectly.
Arian Hosseini +5 more
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An Analysis of Negation in Natural Language Understanding Corpora [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 This paper analyzes negation in eight popular corpora spanning six natural language understanding tasks. We show that these corpora have few negations compared to general-purpose English, and that the few negations in them are often unimportant.
Md Mosharaf Hossain +2 more
semanticscholar +1 more source
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 The full power of human language-based communication cannot be realized without negation. All human languages have some form of negation. Despite this, negation remains a challenging phenomenon for current natural language understanding systems.
Abhilasha Ravichander +2 more
semanticscholar +1 more source
Improving negation detection with negation-focused pre-training [PDF]
North American Chapter of the Association for Computational Linguistics, 2022 Negation is a common linguistic feature that is crucial in many language understanding tasks, yet it remains a hard problem due to diversity in its expression in different types of text.
Thinh Hung Truong +3 more
semanticscholar +1 more source