Comprehensive analysis of embeddings and pre-training in NLP

JK Tripathy, SC Sethuraman, MV Cruz… - Computer Science …, 2021 - Elsevier
The amount of data and computing power has drastically increased over the last decade,
which leads to the development of several new fronts in the field of Natural Language …

[PDF][PDF] Machine learning for ancient languages: A survey

T Sommerschield, Y Assael, J Pavlopoulos… - Computational …, 2023 - direct.mit.edu
Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …

Contextualized diachronic word representations

G Jawahar, D Seddah - … Language Change 2019 (colocated with ACL …, 2019 - hal.science
Diachronic word embeddings play a key role in capturing interesting patterns about how
language evolves over time. Most of the existing work focuses on studying corpora spanning …

Integrating graph-based and transition-based dependency parsers in the deep contextualized era

A Falenska, A Björkelund, J Kuhn - … the IWPT 2020 Shared Task on …, 2020 - aclanthology.org
Graph-based and transition-based dependency parsers used to have different strengths and
weaknesses. Therefore, combining the outputs of parsers from both paradigms used to be …

[PDF][PDF] Caracterización de enfermedades en español mediante word-embeddings

FFT Paz - 2021 - tamps.cinvestav.mx
En este Capítulo se presentan los antecedentes y motivación que dieron origen a este
trabajo de tesis. Para ello se plantea el problema identificado describiendo la hipótesis a …

[PDF][PDF] Contextualized Diachronic Word Representations

GJD Seddah - ACL 2019, 2019 - aclanthology.org
Diachronic word embeddings play a key role in capturing interesting patterns about how
language evolves over time. Most of the existing work focuses on studying corpora spanning …

[引用][C] Ensemble dependency parsing across languages: methodological perspectives

A Faleńska - 2021

[引用][C] Computer Science Review

JK Tripathy, SC Sethuraman, MV Cruz, V Vijayakumar - 2021