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Syntactic Nuclei in Dependency Parsing -- A Multilingual Exploration ...
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Attention Can Reflect Syntactic Structure (If You Let It) ...
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Schrödinger's Tree -- On Syntax and Neural Language Models ...
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Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding ...
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Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English ...
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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ...
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Do Neural Language Models Show Preferences for Syntactic Formalisms? ...
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Abstract:
Recent work on the interpretability of deep neural language models has concluded that many properties of natural language syntax are encoded in their representational spaces. However, such studies often suffer from limited scope by focusing on a single language and a single linguistic formalism. In this study, we aim to investigate the extent to which the semblance of syntactic structure captured by language models adheres to a surface-syntactic or deep syntactic style of analysis, and whether the patterns are consistent across different languages. We apply a probe for extracting directed dependency trees to BERT and ELMo models trained on 13 different languages, probing for two different syntactic annotation styles: Universal Dependencies (UD), prioritizing deep syntactic relations, and Surface-Syntactic Universal Dependencies (SUD), focusing on surface structure. We find that both models exhibit a preference for UD over SUD - with interesting variations across languages and layers - and that the strength ... : ACL 2020 ...
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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.2004.14096 https://arxiv.org/abs/2004.14096
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Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing -- A Tale of Two Parsers Revisited ...
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Encoders Help You Disambiguate Word Senses in Neural Machine Translation ...
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82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models ...
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An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation ...
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