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Hits 581 – 600 of 600

581
Multilingual Irony Detection with Dependency Syntax and Neural Models ...
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582
SaSAKE: Syntax and Semantics Aware Keyphrase Extraction from Research Papers ...
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583
Sampling, Syntax, and Sentence Completions.The (Overlooked?) Impact of Gender on NLP Tools ...
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584
Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification ...
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585
Bridging the Gap in Multilingual Semantic Role Labeling: A Language-Agnostic Approach ...
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586
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction ...
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587
Exploring diachronic syntactic shifts with dependency length: the case of scientific English ...
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588
Do Word Embeddings Capture Spelling Variation? ...
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589
Style Analysis of Argumentative Texts by Mining Rhetorical Devices ...
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590
Anaphoric Zero Pronoun Identification: A Multilingual Approach ...
Abstract: Pro-drop languages such as Arabic, Chinese, Italian or Japanese allow morphologically null but referential arguments in certain syntactic positions, called anaphoric zero-pronouns. Much NLP work on anaphoric zero-pronouns (AZP) is based on gold mentions, but models for their identification are a fundamental prerequisite for their resolution in real-life applications. Such identification requires complex language understanding and knowledge of real-world entities. Transfer learning models, such as BERT, have recently shown to learn surface, syntactic, and semantic information,which can be very useful in recognizing AZPs. We propose a BERT-based multilingual model for AZP identification from predicted zero pronoun positions, and evaluate it on the Arabic and Chinese portions of OntoNotes 5.0. As far as we know, this is the first neural network model of AZP identification for Arabic; and our approach outperforms the state-of-the-art for Chinese. Experiment results suggest that BERT implicitly encode information ...
Keyword: Computer and Information Science; Digital Media; Engineering; Information and Knowledge Engineering; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6575-anaphoric-zero-pronoun-identification-a-multilingual-approach
https://dx.doi.org/10.48448/ysaj-n577
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591
Collective Wisdom: Improving Low-resource Neural Machine Translationusing Adaptive Knowledge Distillation ...
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592
Learning to Decouple Relations: Few-Shot Relation Classification with entity-Guided Attention and Confusion-Aware Training ...
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593
Does Chinese BERT Encode Word Structure? ...
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594
Parsers Know Best: German PP Attachment Revisited ...
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595
A Survey of Unsupervised Dependency Parsing ...
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596
Automatic Topological Field Identification in (Historical) German Texts ...
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597
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation ...
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598
Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation ...
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599
Learning Negation Scope from Syntactic Structure ...
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600
Variation in Coreference Strategies across Genres and Production Media ...
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