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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 3 Hits 1 – 20 of 45 1 Blindness to Modality Helps Entailment Graph Mining ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Mark; Bijl de Vroe, Sander. - : Underline Science Inc., 2021 BASE Show details 2 WebSRC: A Dataset for Web-Based Structural Reading Comprehension ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Xingyu. - : Underline Science Inc., 2021 BASE Show details 3 Semantic Categorization of Social Knowledge for Commonsense Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Gengyu. - : Underline Science Inc., 2021 Abstract: Large pre-trained language models (PLMs) have led to great success on various commonsense question answering (QA) tasks in an end-to-end fashion. However, little attention has been paid to what commonsense knowledge is needed to deeply characterize these QA tasks. In this work, we proposed to categorize the semantics needed for these tasks using the SocialIQA as an example. Building upon our labeled social knowledge categories dataset on top of SocialIQA, we further train neural QA models to incorporate such social knowledge categories and relation information from a knowledge base. Unlike previous work, we observe our models with semantic categorizations of social knowledge can achieve comparable performance with a relatively simple model and smaller size compared to other complex approaches. ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems URL: https://underline.io/lecture/39769-semantic-categorization-of-social-knowledge-for-commonsense-question-answering https://dx.doi.org/10.48448/yxqp-t370 BASE Hide details 4 ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Baylon, Julia; Han, Rujun. - : Underline Science Inc., 2021 BASE Show details 5 CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Piyush; Akula, Arjun. - : Underline Science Inc., 2021 BASE Show details 6 Foreseeing the Benefits of Incidental Supervision ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dan; He, Hangfeng. - : Underline Science Inc., 2021 BASE Show details 7 PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lewis, Patrick. - : Underline Science Inc., 2021 BASE Show details 8 Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ju, Yiming; Zhang, Yuanzhe. - : Underline Science Inc., 2021 BASE Show details 9 Mapping probability word problems to executable representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Daelemans, Walter; Davis, Jesse. - : Underline Science Inc., 2021 BASE Show details 10 Contrastive Domain Adaptation for Question Answering using Limited Text Corpora ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Feuerriegel, Stefan; Kratzwald, Bernhard. - : Underline Science Inc., 2021 BASE Show details 11 Smoothing Dialogue States for Open Conversational Machine Reading ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ouyang, Siru; Zhang, Zhuosheng. - : Underline Science Inc., 2021 BASE Show details 12 How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jiang, Zhengbao. - : Underline Science Inc., 2021 BASE Show details 13 Evaluation Paradigms in Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jordan; Rodriguez, Pedro. - : Underline Science Inc., 2021 BASE Show details 14 FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Srinivasan; Ghoshal, Asish. - : Underline Science Inc., 2021 BASE Show details 15 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bartolo, Max; Jia, Robin. - : Underline Science Inc., 2021 BASE Show details 16 Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Belfer, Robert; Kulshreshtha, Devang. - : Underline Science Inc., 2021 BASE Show details 17 Zero-Shot Dialogue State Tracking via Cross-Task Transfer ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cho, Eunjoon; Crook, Paul. - : Underline Science Inc., 2021 BASE Show details 18 Case-based Reasoning for Natural Language Queries over Knowledge Bases ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Das, Rajarshi; Godbole, Ameya. - : Underline Science Inc., 2021 BASE Show details 19 Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Garg, Siddhant; Moschitti, Alessandro. - : Underline Science Inc., 2021 BASE Show details 20 Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Rebuffel, Clément. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3

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