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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...43 Hits 1 – 20 of 858 1 ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities Lerner, Paul; Ferret, Olivier; Guinaudeau, Camille... In: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) ; https://hal-universite-paris-saclay.archives-ouvertes.fr/hal-03650618 ; 2022 (2022) BASE Show details 2 FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning Addi Ait-Mlouk; Sadi A. Alawadi; Salman Toor; Andreas Hellander In: Applied Sciences; Volume 12; Issue 6; Pages: 3130 (2022) BASE Show details 3 English machine reading comprehension: new approaches to answering multiple-choice questions Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021 In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021) BASE Show details 4 Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios Eskander, Ramy. - 2021 BASE Show details 5 Geographic Question Answering with Spatially-Explicit Machine Learning Models Mai, Gengchen. - : eScholarship, University of California, 2021 BASE Show details 6 Neural Question Answering Models with Broader Knowledge Scope and Deeper Reasoning Power Xiong, Wenhan. - : eScholarship, University of California, 2021 BASE Show details 7 Exploiting multimodality and structure in world representations ... Cangea, Catalina. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 8 Enhancing multiple-choice question answering with causal knowledge Buitelaar, Paul; Dalal, Dhairya; Arcan, Mihael. - : Association for Computational Linguistics, 2021 BASE Show details 9 Arabic question answering system: a survey Azmi, Aqil M.; Cambria, Erik; Hussain, Amir. - : Springer, 2021 BASE Show details 10 ViquiQuAD: an extractive QA dataset from Catalan Wikipedia ... Rodriguez-Penagos, Carlos Gerardo; Armentano-Oller, Carme. - : Zenodo, 2021 BASE Show details 11 ViquiQuAD: an extractive QA dataset from Catalan Wikipedia ... Rodriguez-Penagos, Carlos Gerardo; Armentano-Oller, Carme. - : Zenodo, 2021 BASE Show details 12 VilaQuAD: an extractive QA dataset from Catalan newswire ... Rodriguez-Penagos, Carlos Gerardo; Armentano-Oller, Carme. - : Zenodo, 2021 BASE Show details 13 VilaQuAD: an extractive QA dataset from Catalan newswire ... Rodriguez-Penagos, Carlos Gerardo; Armentano-Oller, Carme. - : Zenodo, 2021 BASE Show details 14 CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions ... Ates, Tayfun; Atesoglu, M. Samil; Yigit, Cagatay. - : Zenodo, 2021 BASE Show details 15 CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions ... Ates, Tayfun; Atesoglu, M. Samil; Yigit, Cagatay. - : Zenodo, 2021 BASE Show details 16 Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios ... Eskander, Ramy. - : Columbia University, 2021 BASE Show details 17 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 18 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 19 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 20 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 Page: 1 2 3 4 5...43

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