Results 11 to 20 of about 785,747 (66)
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the corresponding opinion term.
Lu Xu, Yew Ken Chia, Lidong Bing
semanticscholar +1 more source
Span-based Localizing Network for Natural Language Video Localization [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Given an untrimmed video and a text query, natural language video localization (NLVL) is to locate a matching span from the video that semantically corresponds to the query.
Hao Zhang +3 more
semanticscholar +1 more source
SpanNER: Named Entity Re-/Recognition as Span Prediction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Recent years have seen the paradigm shift of Named Entity Recognition (NER) systems from sequence labeling to span prediction. Despite its preliminary effectiveness, the span prediction model’s architectural bias has not been fully understood.
Jinlan Fu, Xuanjing Huang, Pengfei Liu
semanticscholar +1 more source
Entity, Relation, and Event Extraction with Contextualized Span Representations [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction.
David Wadden +3 more
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SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization [PDF]
European Conference on Computer Vision, 2020 We present a novel framework, Spatial Pyramid Attention Network (SPAN) for detection and localization of multiple types of image manipulations. The proposed architecture efficiently and effectively models the relationship between image patches at ...
Xuefeng Hu +5 more
semanticscholar +1 more source
Span-based Joint Entity and Relation Extraction with Transformer Pre-training [PDF]
European Conference on Artificial Intelligence, 2019 We introduce SpERT, an attention model for span-based joint entity and relation extraction. Our key contribution is a light-weight reasoning on BERT embeddings, which features entity recognition and filtering, as well as relation classification with a ...
Markus Eberts, A. Ulges
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Nested Named Entity Recognition with Span-level Graphs
Annual Meeting of the Association for Computational Linguistics, 2022 Span-based methods with the neural networks backbone have great potential for the nested named entity recognition (NER) problem. However, they face problems such as degenerating when positive instances and negative instances largely overlap. Besides, the
Juncheng Wan +3 more
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Education and Cognitive Functioning Across the Life Span
Psychological Science in the Public Interest, 2020 Cognitive abilities are important predictors of educational and occupational performance, socioeconomic attainment, health, and longevity. Declines in cognitive abilities are linked to impairments in older adults’ everyday functions, but people differ ...
M. Lövdén +5 more
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Annual Meeting of the Association for Computational Linguistics, 2020 In this paper, we study Multimodal Named Entity Recognition (MNER) for social media posts. Existing approaches for MNER mainly suffer from two drawbacks: (1) despite generating word-aware visual representations, their word representations are insensitive
Jianfei Yu, Jing Jiang, Li Yang, Rui Xia
semanticscholar +1 more source
A general framework for information extraction using dynamic span graphs [PDF]
North American Chapter of the Association for Computational Linguistics, 2019 We introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs. The graphs are dynamically constructed by selecting the most confident entity spans and linking these ...
Yi Luan +5 more
semanticscholar +1 more source