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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 Hits 1 – 4 of 4 1 Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Boyd-Graber, Jordan; Daumé III, Hal. - : Underline Science Inc., 2021 BASE Show details 2 What's in a Name? Answer Equivalence For Open-Domain Question Answering ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jordan; Si, Chenglei; Zhao, Chen. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.757/ Abstract: A flaw in QA evaluation is that annotations often only provide one gold answer. Thus, model predictions semantically equivalent to the answer but superficially different are considered incorrect. This work explores mining alias entities from knowledge bases and using them as additional gold answers (i.e., equivalent answers). We incorporate answers for two settings: evaluation with additional answers and model training with equivalent answers. We analyse three QA benchmarks: Natural Questions, TriviaQA, and SQuAD. Answer expansion increases the exact match score on all datasets for evaluation, while incorporating it helps model training over real-world datasets. We ensure the additional answers are valid through a human post hoc evaluation. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Question-Answering Systems URL: https://dx.doi.org/10.48448/7bhn-5373 https://underline.io/lecture/37568-what's-in-a-namequestion-answer-equivalence-for-open-domain-question-answering BASE Hide details 3 On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries ... Shi, Tianze; Zhao, Chen; Boyd-Graber, Jordan. - : arXiv, 2020 BASE Show details 4 Non-native homonym processing : an ERP measurement Hu, Jiehui; Zhang, Wenpeng; Zhao, Chen. - : International Society for Bioelectromagnetism, 2011 BASE Show details

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