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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bing, Lidong; Hai, Zhen. - : Underline Science Inc., 2021 BASE Show details 2 On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bing, Lidong; Cheng, liying.cheng@alibaba-inc.com. - : Underline Science Inc., 2021 BASE Show details 3 Towards Generative Aspect-Based Sentiment Analysis ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Wai; Bing, Lidong. - : Underline Science Inc., 2021 BASE Show details 4 Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bing, Lidong; Cheng, Liying. - : Underline Science Inc., 2021 BASE Show details 5 Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bing, Lidong; Chia, Yew Ken; Xu, Lu. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.367 Abstract: 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. Recent models perform the triplet extraction in an end-to-end manner but heavily rely on the interactions between each target word and opinion word. Thereby, they cannot perform well on targets and opinions which contain multiple words. Our proposed span-level approach explicitly considers the interaction between the whole spans of targets and opinions when predicting their sentiment relation. Thus, it can make predictions with the semantics of whole spans, ensuring better sentiment consistency. To ease the high computational cost caused by span enumeration, we propose a dual-channel span pruning strategy by incorporating supervision from the Aspect Term Extraction (ATE) and Opinion Term Extraction (OTE) tasks. This strategy not only improves computational ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/26091-learning-span-level-interactions-for-aspect-sentiment-triplet-extraction https://dx.doi.org/10.48448/6erd-yc36 BASE Hide details 6 MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bing, Lidong; Ding, Bosheng. - : Underline Science Inc., 2021 BASE Show details

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