Improving the performance of graph based dependency parsing by guiding bi-affine layer with augmented global and local features-Reference-Cited by-同舟云学术

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Improving the performance of graph based dependency parsing by guiding bi-affine layer with augmented global and local features

Published:2023-05 Issue: Volume:18 Page:200190
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

Altıntaş Mücahit^ORCID,Tantuğ A. Cüneyd

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference98 articles.

1. Boosting dependency parsing performance by incorporating additional features for agglutinative languages;Altıntaş,2022

2. Syntactic nuclei in dependency parsing – a multilingual exploration;Basirat,2021

3. Bies, A., Mott, J., Warner, C., & Kulick, S. (2012). English web treebank. Linguistic Data Consortium. Philadelphia, PA.

4. A grammar-book treebank of Turkish;Çöltekin,2015

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1. Target-Aspect-Sentiment Joint Detection: Uncovering Explicit and Implicit Targets Through Aspect-Target-Context-Aware Detection;IEEE Access;2024

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