Pulse nav.journalClub Debates activos Tendencias Explorar Investigadores

Download the App

Join discussions, follow papers, and never miss your next session.

Download on theApp Store

© Synapse Social LLC, 2026

Política de privacidad

Inicio Explorar nav.journalClub Tendencias

⌘+K

Exploring and Predicting Transferability across NLP Tasks | Synapse

January 1, 2020Open Access

Exploring and Predicting Transferability across NLP Tasks

Puntos clave

Los puntos clave no están disponibles para este artículo en este momento.

Resumen

Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020.

Preguntar a la IA

Me gusta

Guardar

Compartir

Ver artículo completo

Preguntar a la IA

Me gusta

Guardar

Compartir

Ver artículo completo

Cite This Study

Vu et al. (Wed,) studied this question.

synapsesocial.com/papers/6a0eb27c8a6cf20890229368 https://doi.org/https://doi.org/10.18653/v1/2020.emnlp-main.635

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks2018 · 258 citations
2Graph drawing by force‐directed placement1991 · 6,363 citations
3Building a Large Annotated Corpus of English: The Penn Treebank1993 · 7,528 citations
4Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition2002 · 1,584 citations
5DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning\n Over Paragraphs2019 · 179 citations