A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021

8 June 2021

Papers citing "A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021"

10 / 10 papers shown

Title
Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA Carlos Gómez-Rodríguez Muhammad Imran David Vilares Elena Solera Olga Kellert 23 0 0 23 Jun 2024
A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis Muhammad Imran Olga Kellert Carlos Gómez-Rodríguez 24 1 0 21 Jun 2024
4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees Carlos Gómez-Rodríguez Diego Roca David Vilares 31 4 0 22 Oct 2023
On the Challenges of Fully Incremental Neural Dependency Parsing Rafał Dreżewski Carlos Gómez-Rodríguez David Vilares CLL 30 1 0 28 Sep 2023
Parsing linearizations appreciate PoS tags - but some are fussy about errors Alberto Muñoz-Ortiz Mark Anderson David Vilares Carlos Gómez-Rodríguez 16 2 0 27 Oct 2022
The Fragility of Multi-Treebank Parsing Evaluation I. Alonso-Alonso David Vilares Carlos Gómez-Rodríguez 14 1 0 14 Sep 2022
Stochastic Multiple Target Sampling Gradient Descent Hoang Phan Ngoc N. Tran Trung Le Toan M. Tran Nhat Ho Dinh Q. Phung 16 14 0 04 Jun 2022
Towards Climate Awareness in NLP Research Daniel Hershcovich Nicolas Webersinke Mathias Kraus J. Bingler Markus Leippold 20 32 0 10 May 2022
Splitting EUD graphs into trees: A quick and clatty approach Mark Anderson Carlos Gómez-Rodríguez 16 2 0 24 Jun 2021
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? Houquan Zhou Yu Zhang Zhenghua Li Min Zhang 25 24 0 06 Mar 2020