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Analysis and Evaluation of Language Models for Word Sense Disambiguation

Analysis and Evaluation of Language Models for Word Sense Disambiguation

26 August 2020
Daniel Loureiro
Kiamehr Rezaee
Mohammad Taher Pilehvar
Jose Camacho-Collados
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Papers citing "Analysis and Evaluation of Language Models for Word Sense Disambiguation"

5 / 5 papers shown
Title
ABNIRML: Analyzing the Behavior of Neural IR Models
ABNIRML: Analyzing the Behavior of Neural IR Models
Sean MacAvaney
Sergey Feldman
Nazli Goharian
Doug Downey
Arman Cohan
15
49
0
02 Nov 2020
Massively Parallel and Asynchronous Tsetlin Machine Architecture
  Supporting Almost Constant-Time Scaling
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Kuruge Darshana Abeyrathna
Bimal Bhattarai
Morten Goodwin
S. Gorji
Ole-Christoffer Granmo
Lei Jiao
Rupsa Saha
Rohan Kumar Yadav
LRM
16
36
0
10 Sep 2020
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
228
656
0
09 Sep 2019
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
882
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
297
6,950
0
20 Apr 2018
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