Results 1 to 10 of about 3,773 (157)
Dependency Parsing of Turkish [PDF]
Computational Linguistics, 2021 The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, pose interesting challenges in this respect.
Gülşen Eryiğit +2 more
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Dependency Parsing Schemata and Mildly Non-Projective Dependency Parsing [PDF]
Computational Linguistics, 2021 We introduce dependency parsing schemata, a formal framework based on Sikkel's parsing schemata for constituency parsers, which can be used to describe, analyze, and compare dependency parsing algorithms. We use this framework to describe several well-known projective and non-projective dependency parsers, build correctness proofs, and establish ...
Carlos Gómez-Rodríguez +2 more
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Dependency parsing of biomedical text with BERT [PDF]
BMC Bioinformatics, 2020 Background: Syntactic analysis, or parsing, is a key task in natural language processing and a required component for many text mining approaches. In recent years, Universal Dependencies (UD) has emerged as the leading formalism for dependency parsing ...
Jenna Kanerva +2 more
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Multi-task learning by using contextualized word representations for syntactic parsing of a morphologically rich language. [PDF]
PLoS ONEWe address the challenge of syntactic parsing for Urdu, a morphologically rich language, and present state-of-the-art results for both constituency and dependency parsing.
Toqeer Ehsan +4 more
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Parsing to Noncrossing Dependency Graphs [PDF]
Transactions of the Association for Computational Linguistics, 2021 We study the generalization of maximum spanning tree dependency parsing to maximum acyclic subgraphs. Because the underlying optimization problem is intractable even under an arc-factored model, we consider the restriction to noncrossing dependency graphs. Our main contribution is a cubic-time exact inference algorithm for this class.
Marco Kuhlmann, Peter Jonsson
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Dependency Parsing with Transformed Feature [PDF]
Information, 2017 Dependency parsing is an important subtask of natural language processing. In this paper, we propose an embedding feature transforming method for graph-based parsing, transform-based parsing, which directly utilizes the inner similarity of the features ...
Fuxiang Wu
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Telugu dependency parsing using different statistical parsers
Journal of King Saud University - Computer and Information Sciences, 2017 In this paper we explore different statistical dependency parsers for parsing Telugu. We consider five popular dependency parsers namely, MaltParser, MSTParser, TurboParser, ZPar and Easy-First Parser.
B. Venkata Seshu Kumari +1 more
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Fine-Tuning BERT-Based Pre-Trained Models for Arabic Dependency Parsing
Applied Sciences (Switzerland), 2023 With the advent of pre-trained language models, many natural language processing tasks in various languages have achieved great success. Although some research has been conducted on fine-tuning BERT-based models for syntactic parsing, and several Arabic ...
Sharefah Al-Ghamdi +2 more
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Going to the Roots of Dependency Parsing
Computational Linguistics, 2021 Dependency trees used in syntactic parsing often include a root node representing a dummy word prefixed or suffixed to the sentence, a device that is generally considered a mere technical convenience and is tacitly assumed to have no impact on empirical results.
Miguel Ballesteros, Joakim Nivre
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Improving Low-resource Dependency Parsing Using Multi-strategy Data Augmentation [PDF]
Jisuanji kexue, 2022 Dependency parsing aims to identify syntactic dependencies between words in a sentence.Dependency parsing can provide syntactic features and improve model performance for tasks such as information extraction,automatic question answering and machine ...
XIAN Yan-tuan, GAO Fan-ya, XIANG Yan, YU Zheng-tao, WANG Jian
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