Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited

doi 10.18653/v1/d19-1277
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for Computational Linguistics

Related search

Improving Parsing Accuracy by Combining Diverse Dependency Parsers

2005English

Parsing Clinical Text Using the State-Of-The-Art Deep Learning Based Parsers: A Systematic Comparison

BMC Medical Informatics and Decision Making
Health PolicyHealth Informatics
2019English

Experiential, Distributional and Dependency-Based Word Embeddings Have Complementary Roles in Decoding Brain Activity

2018English

Dependency Forest Based Word Alignment

2016English

Dependency Parsing Based on Dynamic Local Optimization

2006English

Transition-Based Chinese AMR Parsing

2018English

An Improved Deep Learning Approach Based on Variant Two-State Gated Recurrent Unit and Word Embeddings for Sentiment Classification

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

What Does This Word Mean? Explaining Contextualized Embeddings With Natural Language Definition

2019English

Character-Level Dependency Model for Joint Word Segmentation, POS Tagging, and Dependency Parsing in Chinese

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy