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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 – 11 of 11 1 How does Attention Affect the Model? ... 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; Hua, Lingyu; Li, Qiuchi. - : Underline Science Inc., 2021 BASE Show details 2 Exploiting Position Bias for Robust Aspect Sentiment Classification ... 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; Ma, Fang; Song, Dawei; Zhang, Chen. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.116 Abstract: Aspect sentiment classification (ASC) aims at determining sentiments expressed towards different aspects in a sentence. While state-of-the-art ASC models have achieved remarkable performance, they are recently shown to suffer from the issue of robustness. Particularly in two common scenarios: when domains of test and training data are different (out-of-domain scenario) or test data is adversarially perturbed (adversarial scenario), ASC models may attend to irrelevant words and neglect opinion expressions that truly describe diverse aspects. To tackle the challenge, in this paper, we hypothesize that position bias (i.e., the words closer to a concerning aspect would carry a higher degree of importance) is crucial for building more robust ASC models by reducing the probability of mis-attending. Accordingly, we propose two mechanisms for capturing position bias, namely position-biased weight and position-biased dropout, which can be ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/j9d8-q055 https://underline.io/lecture/26207-exploiting-position-bias-for-robust-aspect-sentiment-classification BASE Hide details 3 A Generalized Language Model in Tensor Space ... Zhang, Lipeng; Zhang, Peng; Ma, Xindian. - : arXiv, 2019 BASE Show details 4 A quantum-inspired sentiment representation model for twitter sentiment analysis Zhang, Yazhou; Song, Dawei; Zhang, Peng. - 2019 BASE Show details 5 Quantum-inspired Complex Word Embedding Uprety, Sagar; Li, Qiuchi; Song, Dawei. - : Association for Computational Linguistics, 2018 BASE Show details 6 Characterizing pure high-order entanglements in lexical semantic spaces via information geometry Hou, Yuexian; Song, Dawei. - 2009 BASE Show details 7 Towards operational abduction from a cognitive perspective Bruza, Peter; Cole, Richard; Song, Dawei. - 2006 BASE Show details 8 Information flow analysis with Chinese text Cheong, Paulo; Song, Dawei; Bruza, Peter. - : Springer Verlag, 2005 BASE Show details 9 A Correlation Analysis on LSA and HAL Semantic Space Models Yan, Xin; Li, Xue; Song, Dawei. - 2004 BASE Show details 10 Fuzzy K-means clustering on a high dimensional semantic space Cao, Guihong; Song, Dawei; Bruza, Peter. - : Springer Verlag, 2004 BASE Show details 11 Towards context sensitive information inference Song, Dawei; Bruza, Peter D. In: American Society for Information Science and Technology. Journal of the American Society for Information Science and Technology. - New York, NY : Wiley 54 (2003) 4, 321-334 BLLDB Show details

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