Multi-Task Learning by using Contextualized Word Representations for Syntactic Parsing of a Morphologically Rich Language

arXiv:2609.29855 · cs.CL, cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/Luolc/CTB2Dep

Terminology

Embeddings — 41× in this paper · explained in 2 episodes
Core — 21× in this paper · explained in 2 episodes
Accuracy — 19× in this paper · explained in 1 episode
Copula — 17× in this paper · explained in 2 episodes
Transfer Learning — 12× in this paper · explained in 10 episodes
Labeled Attachment Score — 8× in this paper
Label Accuracy — 7× in this paper
Association for Computational Linguistics — 5× in this paper
Long Short-Term Memory — 4× in this paper
Alignment — 3× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Sparsity — 3× in this paper · explained in 4 episodes
Transformer — 3× in this paper · explained in 2 episodes
Universal Dependencies — 3× in this paper
Analyzer — 2× in this paper · explained in 1 episode
Annotator Agreement — 2× in this paper · explained in 1 episode
Generalization — 2× in this paper · explained in 13 episodes
Labeled Recall — 2× in this paper
Benchmarking — 1× in this paper · explained in 3 episodes
Consistency — 1× in this paper · explained in 3 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
F1 Score — 1× in this paper · explained in 3 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
Low-Resource Languages — 1× in this paper · explained in 4 episodes
Tokenization — 1× in this paper · explained in 2 episodes
Transformer Models — 1× in this paper · explained in 2 episodes
Vector Representations — 1× in this paper · explained in 2 episodes
Verbal Complex — 1× in this paper

Terminology

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