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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 BASE Show 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 Abstract: Open-domain Question Answering models which directly leverage question-answer (QA) pairs, such as closed-book QA (CBQA) models and QA-pair retrievers, show promise in terms of speed and memory compared to conventional models which retrieve and read from text corpora. QA-pair retrievers also offer interpretable answers, a high degree of control, and are trivial to update at test time with new knowledge. However, these models lack the accuracy of retrieve-and-read systems, as substantially less knowledge is covered by the available QA-pairs relative to text corpora like Wikipedia. To facilitate improved QA-pair models, we introduce Probably Asked Questions (PAQ), a very large resource of 65M automatically-generated QA-pairs. We introduce a new QA-pair retriever, RePAQ, to complement PAQ. We find that PAQ preempts and caches test questions, enabling RePAQ to match the accuracy of recent retrieve-and-read models, whilst being significantly faster. Using PAQ, we train CBQA models which outperform comparable ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems URL: https://underline.io/lecture/38209-paq-65-million-probably-asked-questions-and-what-you-can-do-with-them https://dx.doi.org/10.48448/s0hq-cn08 BASE Hide 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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