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Enhancing Cognitive Models of Emotions with Representation Learning ...
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Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation ...
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Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope ...
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The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders ...
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Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph ...
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Xu, Liyan; Zhang, Xuchao; Zong, Bo; Liu, Yanchi; Cheng, Wei; Ni, Jingchao; Chen, Haifeng; Zhao, Liang; Choi, Jinho D.. - : arXiv, 2021
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Abstract:
We target the task of cross-lingual Machine Reading Comprehension (MRC) in the direct zero-shot setting, by incorporating syntactic features from Universal Dependencies (UD), and the key features we use are the syntactic relations within each sentence. While previous work has demonstrated effective syntax-guided MRC models, we propose to adopt the inter-sentence syntactic relations, in addition to the rudimentary intra-sentence relations, to further utilize the syntactic dependencies in the multi-sentence input of the MRC task. In our approach, we build the Inter-Sentence Dependency Graph (ISDG) connecting dependency trees to form global syntactic relations across sentences. We then propose the ISDG encoder that encodes the global dependency graph, addressing the inter-sentence relations via both one-hop and multi-hop dependency paths explicitly. Experiments on three multilingual MRC datasets (XQuAD, MLQA, TyDiQA-GoldP) show that our encoder that is only trained on English is able to improve the zero-shot ... : Accepted to AAAI 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2112.00503 https://arxiv.org/abs/2112.00503
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Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering ...
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Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings ...
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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Universal Dependencies 2.1
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In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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