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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 4 5...8 Hits 1 – 20 of 151 1 Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios Eskander, Ramy. - 2021 BASE Show details 2 Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios ... Eskander, Ramy. - : Columbia University, 2021 BASE Show details 3 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 4 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 5 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 BASE Show details 6 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 7 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 8 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 9 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 10 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 11 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 12 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 13 Smoothing Dialogue States for Open Conversational Machine Reading ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ouyang, Siru; Zhang, Zhuosheng; Zhao, Hai. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.299/ Abstract: Conversational machine reading (CMR) requires machines to communicate with humans through multi-turn interactions between two salient dialogue states of decision making and question generation processes. In open CMR settings, as the more realistic scenario, the retrieved background knowledge would be noisy, which results in severe challenges in the information transmission. Existing studies commonly train independent or pipeline systems for the two subtasks. However, those methods are trivial by using hard-label decisions to activate question generation, which eventually hinders the model performance. In this work, we propose an effective gating strategy by smoothing the two dialogue states in only one decoder and bridge decision making and question generation to provide a richer dialogue state reference. Experiments on the OR-ShARC dataset show the effectiveness of our method, which achieves new state-of-the-art results. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems URL: https://dx.doi.org/10.48448/nf5h-wd78 https://underline.io/lecture/38046-smoothing-dialogue-states-for-open-conversational-machine-reading BASE Hide details 14 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 15 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 16 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 17 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 18 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 19 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 20 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 Page: 1 2 3 4 5...8

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