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Transformer-based Language Models for Factoid Question Answering at
  BioASQ9b

Transformer-based Language Models for Factoid Question Answering at BioASQ9b

15 September 2021
Urvashi Khanna
Diego Mollá Aliod
ArXivPDFHTML

Papers citing "Transformer-based Language Models for Factoid Question Answering at BioASQ9b"

3 / 3 papers shown
Title
Query-Focused Extractive Summarisation for Finding Ideal Answers to
  Biomedical and COVID-19 Questions
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
Diego Mollá Aliod
Urvashi Khanna
Dima Galat
Vincent Nguyen
Maciej Rybiński
RALM
35
2
0
27 Aug 2021
Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale
  Biomedical Semantic Indexing and Question Answering
Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
A. Nentidis
K. Bougiatiotis
Carlos Rodríguez-Penagos
Anastasia Krithara
Marta Villegas
Martin Krallinger
G. Paliouras
27
45
0
28 Jun 2021
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
1