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Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations ...
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Analysis of Language Change in Collaborative Instruction Following ...
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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
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Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching ...
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Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph ...
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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
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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 them. 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 evidence justifying the answers. Second, the QA community has contributed a lot of effort to improve the interpretability of QA models. However, they 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 shortcoming, we introduce NOAHQA, a conversational and bilingual QA dataset with questions requiring numerical reasoning with compound mathematical expressions. With NOAHQA, we develop an interpretable reasoning graph as ...
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URL: https://underline.io/lecture/38510-noahqa-numerical-reasoning-with-interpretable-graph-question-answering-dataset https://dx.doi.org/10.48448/75ds-x611
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An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages ...
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SD-QA: Spoken Dialectal Question Answering for the Real World ...
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Plan-then-Generate: Controlled Data-to-Text Generation via Planning ...
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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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Live Session - 4E: Phonology, Morphology and Word Segmentation ...
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Rule-based Morphological Inflection Improves Neural Terminology Translation ...
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Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
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