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Anaphora resolution has proven to be a very difficult problem; it requires the integrated application of syntactic, semantic, and pragmatic knowledge. This paper examines the hypothesis that instead of attempting …...

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Phrase Reordering Model Integrating Syntactic Knowledge for SMT

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Reordering model is important for the sta- tistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering. This paper introduces syntactic knowledge …...

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Quality Estimation of English-French Machine Translation: A Detailed Study of the Role of Syntax

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We investigate the usefulness of syntactic knowledge in estimating the quality of English-French translations. We find that dependency and constituency tree kernels perform well but the error rate can be …...

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A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling

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AbstractSemantic role labeling (SRL) aims to identify the predicate-argument structure of a sentence. Inspired by the strong correlation between syntax and semantics, previous works pay much attention to improve SRL …...

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Controllable Paraphrase Generation with a Syntactic Exemplar

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AbstractPrior work on controllable text generation usually assumes that the controlled attribute can take on one of a small set of values known a priori. In this work, we propose …...

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Does Chinese BERT Encode Word Structure?

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AbstractContextualized representations give significantly improved results for a wide range of NLP tasks. Much work has been dedicated to analyzing the features captured by representative models such as BERT. Existing …...

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Semantic Role Labeling with Heterogeneous Syntactic Knowledge

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AbstractRecently, due to the interplay between syntax and semantics, incorporating syntactic knowledge into neural semantic role labeling (SRL) has achieved much attention. Most of the previous syntax-aware SRL works focus …...

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Event Detection with Dual Relational Graph Attention Networks

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AbstractEvent detection, which aims to identify instances of specific event types from pieces of text, is a fundamental task in information extraction. Most existing approaches leverage syntactic knowledge with a …...

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Subject Verb Agreement Error Patterns in Meaningless Sentences: Humans vs. BERT

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AbstractBoth humans and neural language models are able to perform subject verb number agreement (SVA). In principle, semantics shouldn’t interfere with this task, which only requires syntactic knowledge. In this …...

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Syntax-driven Approach for Semantic Role Labeling

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