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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 Page: 1 2 Hits 1 – 20 of 26 1 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ... Gui, Tao; Wang, Xiao; Zhang, Qi. - : arXiv, 2021 BASE Show details 2 SpanNER: Named Entity Re-/Recognition as Span Prediction ... 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; Fu, Jinlan; Huang , Xuanjing. - : Underline Science Inc., 2021 BASE Show details 3 Align Voting Behavior with Public Statements for Legislator Representation Learning ... 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; Chen , Lei; He , Yancheng; Huang , Xuanjing; Jiang, Changjian@fudan.edu.cn; Mou, Xinyi; Ning, Shangyi; Wei, Zhongyu. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.99 Abstract: Ideology of legislators is typically estimated by ideal point models from historical records of votes. It represents legislators and legislation as points in a latent space and shows promising results for modeling voting behavior. However, it fails to capture more specific attitudes of legislators toward emerging issues and is unable to model newly-elected legislators without voting histories. In order to mitigate these two problems, we explore to incorporate both voting behavior and public statements on Twitter to jointly model legislators. In addition, we propose a novel task, namely hashtag usage prediction to model the ideology of legislators on Twitter. In practice, we construct a heterogeneous graph for the legislative context and use relational graph neural networks to learn the representation of legislators with the guidance of historical records of their voting and hashtag usage. Experiment results indicate that our model yields ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/25988-align-voting-behavior-with-public-statements-for-legislator-representation-learning https://dx.doi.org/10.48448/jc0h-tp09 BASE Hide details 4 fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP ... 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; Geng, Zhichao; Huang , Xuanjing. - : Underline Science Inc., 2021 BASE Show details 5 {K-Adapter}: {I}nfusing {K}nowledge into {P}re-{T}rained {M}odels with {A}dapters ... 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; Cao, Guihong; Duan, Nan. - : Underline Science Inc., 2021 BASE Show details 6 Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ... 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; Chang, Kai-Wei; Hsieh, Cho-Jui. - : Underline Science Inc., 2021 BASE Show details 7 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP Vaidhya, Tejas; Sachan, Mrinmaya; von Kügelgen, Julius... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 8 Classifying Dyads for Militarized Conflict Analysis Torroba Hennigen, Lucas; Stoehr, Niklas; West, Robert... In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 9 Efficient Sampling of Dependency Structure Vieira, Tim; Zmigrod, Ran; Cotterell, Ryan In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 10 Searching for More Efficient Dynamic Programs Cotterell, Ryan; Eisner, Jason; Vieira, Tim In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 11 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding Zhao, Chao; Sachan, Mrinmaya; Tafjord, Oyvind... In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021) BASE Show details 12 A Bayesian Framework for Information-Theoretic Probing Cotterell, Ryan; Pimentel, Tiago In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021) BASE Show details 13 Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation Manotumruksa, Jarana; Dalton, Jeffrey; Meij, Edgar. - 2021 BASE Show details 14 Come hither or go away? Recognising pre-electoral coalition signals in the news Rehbein, Ines; Ponzetto, Simone Paolo; Adendorf, Anna. - : Association for Computational Linguistics, 2021 BASE Show details 15 K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters ... Wang, Ruize; Tang, Duyu; Duan, Nan. - : arXiv, 2020 BASE Show details 16 FLAT: Chinese NER Using Flat-Lattice Transformer ... Li, Xiaonan; Yan, Hang; Qiu, Xipeng. - : arXiv, 2020 BASE Show details 17 A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing Yan, Hang; Qiu, Xipeng; Huang, Xuanjing In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 78-92 (2020) (2020) BASE Show details 18 Chinese computational linguistics : 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019 : proceedings Liu, Zhiyuan (Herausgeber); Jiang, Heng (Herausgeber); Liu, Yang (Herausgeber). - Cham, Switzerland : Springer, 2019 BLLDB UB Frankfurt Linguistik Show details 19 GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge ... Huang, Luyao; Sun, Chi; Qiu, Xipeng. - : arXiv, 2019 BASE Show details 20 Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ... Peng, Minlong; Xing, Xiaoyu; Zhang, Qi. - : arXiv, 2019 BASE Show details Page: 1 2

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