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A Comparative Study of Transformer-Based Language Models on Extractive
  Question Answering

A Comparative Study of Transformer-Based Language Models on Extractive Question Answering

7 October 2021
Kate Pearce
Tiffany Zhan
Aneesh Komanduri
J. Zhan
    ELM
ArXivPDFHTML

Papers citing "A Comparative Study of Transformer-Based Language Models on Extractive Question Answering"

5 / 5 papers shown
Title
Applying Multilingual Models to Question Answering (QA)
Applying Multilingual Models to Question Answering (QA)
Ayrton San Joaquin
Filip Skubacz
11
1
0
04 Dec 2022
Parameter-Efficient Abstractive Question Answering over Tables or Text
Parameter-Efficient Abstractive Question Answering over Tables or Text
Vaishali Pal
Evangelos Kanoulas
Maarten de Rijke
LMTD
19
14
0
07 Apr 2022
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
294
6,950
0
20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
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
716
6,740
0
26 Sep 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
1