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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 6 7 8 9 10...41 Hits 101 – 120 of 812 101 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 102 Good-Enough Example Extrapolation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wei, Jason. - : Underline Science Inc., 2021 BASE Show details 103 To what extent do human explanations of model behavior align with actual model behavior? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Prasad, Grusha. - : Underline Science Inc., 2021 BASE Show details 104 Sequence Length is a Domain: Length-based Overfitting in Transformer Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bojar, Ondřej; Variš, Dušan. - : Underline Science Inc., 2021 BASE Show details 105 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 106 Effective Sequence-to-Sequence Dialogue State Tracking ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cao, Yuan; Mahdieh, Mahdis. - : Underline Science Inc., 2021 BASE Show details 107 An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Indrakshi; Banerjee, Ritwik. - : Underline Science Inc., 2021 BASE Show details 108 Solving Aspect Category Sentiment Analysis as a Text Generation Task ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Liu, Jian. - : Underline Science Inc., 2021 BASE Show details 109 Discourse-Driven Integrated Dialogue Development Environment for Open-Domain Dialogue Systems ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dmitry; Burtsev, Mikhail. - : Underline Science Inc., 2021 BASE Show details 110 Context or No Context? A preliminary exploration of human-in-the-loop approach for Incremental Temporal Summarization in meetings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Saurav; Beckage, Nicole. - : Underline Science Inc., 2021 BASE Show details 111 Learning Data Augmentation Schedules for Natural Language Processing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Irena; Chopard, Daphné. - : Underline Science Inc., 2021 BASE Show details 112 Locke's Holiday: Belief Bias in Machine Reading ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Søgaard, Anders. - : Underline Science Inc., 2021 BASE Show details 113 Searching for More Efficient Dynamic Programs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021. - : Underline Science Inc., 2021 BASE Show details 114 Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shi, Qi. - : Underline Science Inc., 2021 BASE Show details 115 Improving Synonym Recommendation Using Sentence Context ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., William; Arendt, Dustin. - : Underline Science Inc., 2021 BASE Show details 116 Debiasing Methods in Natural Language Understanding Make Bias More Accessible ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Belinkov, Yonatan; Mendelson, Michael. - : Underline Science Inc., 2021 BASE Show details 117 CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ke, Zixuan; Liu, Bing. - : Underline Science Inc., 2021 BASE Show details 118 SPECTRA: Sparse Structured Text Rationalization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Guerreiro, Nuno M.; Martins, Andre. - : Underline Science Inc., 2021 BASE Show details 119 Unsupervised Contextualized Document Representation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gupta, Vivek; Gupta, Ankur. - : Underline Science Inc., 2021 BASE Show details 120 Layer-wise Model Pruning based on Mutual Information ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Meng, Yuxian. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5 6 7 8 9 10...41

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