Contextual Embeddings: When Are They Worth It?

Contextual Embeddings: When Are They Worth It?

18 May 2020

Christopher Ré

Papers citing "Contextual Embeddings: When Are They Worth It?"

11 / 11 papers shown

Title
Lost in Context? On the Sense-wise Variance of Contextualized Word Embeddings Yile Wang Yue Zhang 19 4 0 20 Aug 2022
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction Bruno Taillé Vincent Guigue Geoffrey Scoutheeten Patrick Gallinari 79 5 0 24 Sep 2021
Theoretical foundations and limits of word embeddings: what types of meaning can they capture? Alina Arseniev-Koehler 36 19 0 22 Jul 2021
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders Brendan Chambers James A. Evans MedIm 13 0 0 13 Apr 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Charlie Blake Vitaly Kurin Maximilian Igl Shimon Whiteson AI4CE 21 13 0 01 Mar 2021
Biomedical Named Entity Recognition at Scale Veysel Kocaman D. Talby 25 67 0 12 Nov 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? Shayne Longpre Yu Wang Christopher DuBois ViT 19 83 0 05 Oct 2020
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation Charles F Welch Rada Mihalcea Jonathan K. Kummerfeld AI4CE 19 4 0 29 Sep 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,748 0 26 Sep 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 279 13,373 0 25 Aug 2014