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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
Abstract: While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects. First, we lack QA datasets covering complex questions that involve answers as well as the reasoning processes to get the answers. As a result, the state-of-the-art QA research on numerical reasoning still focuses on simple calculations and does not provide the mathematical expressions or evidences justifying the answers. Second, the QA community has contributed much effort to improving the interpretability of QA models. However, these models fail to explicitly show the reasoning process, such as the evidence order for reasoning and the interactions between different pieces of evidence. To address the above shortcomings, we introduce NOAHQA, a conversational and bilingual QA dataset with questions requiring numerical reasoning with compound mathematical expressions. With NOAHQA, we develop an interpretable ... : Findings of EMNLP 2021. Code will be released at: https://github.com/Don-Joey/NoahQA ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2109.10604
https://arxiv.org/abs/2109.10604
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3
Investigating Math Word Problems using Pretrained Multilingual Language Models ...
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4
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering ...
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5
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning ...
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6
Cross-lingual semantic specialization via lexical relation induction
Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2019
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7
Do we really need fully unsupervised cross-lingual embeddings?
Vulić, Ivan; Glavaš, Goran; Reichart, Roi. - : Association for Computational Linguistics, 2019
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8
Neural Synchronization during Face-to-Face Communication
Jiang, Jing; Dai, Bohan; Peng, Danling. - : Society for Neuroscience, 2012
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9
UDEL/SMU at TREC 2009 Entity Track
In: DTIC (2009)
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10
An empirical study of tokenization strategies for biomedical information retrieval
In: Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V. 10 (2007) 4-5, 341-363
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11
Diagnostic precision of tumor markers for malignant pleural effusion: a meta-analysis
Liang, Qiu-Li; Shi, Huan-Zhong; Qin, Xue-Jun. - : BMJ Publishing Group Ltd, 2007
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12
Racial mimesis: Translation, literature, and self -fashioning in modern China.
Jiang, Jing. - 2006
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13
An Empirical Study of Tokenization Strategies for Biomedical Information Retrieval
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