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Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios
Eskander, Ramy. - 2021
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Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios ...
Eskander, Ramy. - : Columbia University, 2021
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Blindness to Modality Helps Entailment Graph Mining ...
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WebSRC: A Dataset for Web-Based Structural Reading Comprehension ...
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5
Semantic Categorization of Social Knowledge for Commonsense Question Answering ...
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
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ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations ...
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CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization ...
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Foreseeing the Benefits of Incidental Supervision ...
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PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them ...
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10
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations ...
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11
Mapping probability word problems to executable representations ...
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Contrastive Domain Adaptation for Question Answering using Limited Text Corpora ...
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13
Smoothing Dialogue States for Open Conversational Machine Reading ...
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14
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering ...
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15
Evaluation Paradigms in Question Answering ...
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FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation ...
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17
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation ...
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18
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval ...
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19
Zero-Shot Dialogue State Tracking via Cross-Task Transfer ...
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20
Case-based Reasoning for Natural Language Queries over Knowledge Bases ...
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