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SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics ...
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Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension ...
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SHAPE: Shifted Absolute Position Embedding for Transformers ...
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Incorporating Residual and Normalization Layers into Analysis of Masked Language Models ...
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Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution ...
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Exploring Methods for Generating Feedback Comments for Writing Learning ...
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Transformer-based Lexically Constrained Headline Generation ...
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Transformer-based Lexically Constrained Headline Generation ...
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Topicalization in Language Models: A Case Study on Japanese ...
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An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution ...
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PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents ...
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Seeing the world through text: Evaluating image descriptions for commonsense reasoning in machine reading comprehension ...
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Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese ...
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Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction ...
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Attention is Not Only a Weight: Analyzing Transformers with Vector Norms ...
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Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness ...
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Modeling Event Salience in Narratives via Barthes' Cardinal Functions ...
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Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language? ...
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