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SD-QA: Spoken Dialectal Question Answering for the Real World

SD-QA: Spoken Dialectal Question Answering for the Real World

24 September 2021
Fahim Faisal
Sharlina Keshava
ibn Alam
Antonios Anastasopoulos
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Papers citing "SD-QA: Spoken Dialectal Question Answering for the Real World"

10 / 10 papers shown
Title
HeySQuAD: A Spoken Question Answering Dataset
HeySQuAD: A Spoken Question Answering Dataset
Yijing Wu
Sai Krishna Rallabandi
R. Srinivasamurthy
Parag Dakle
Alolika Gon
Preethi Raghavan
24
4
0
26 Apr 2023
Towards leveraging latent knowledge and Dialogue context for real-world
  conversational question answering
Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering
Shaomu Tan
Denis Paperno
RALM
21
0
0
17 Dec 2022
Multi-VALUE: A Framework for Cross-Dialectal English NLP
Multi-VALUE: A Framework for Cross-Dialectal English NLP
Caleb Ziems
William B. Held
Jingfeng Yang
Jwala Dhamala
Rahul Gupta
Diyi Yang
31
40
0
15 Dec 2022
Dialect-robust Evaluation of Generated Text
Dialect-robust Evaluation of Generated Text
Jiao Sun
Thibault Sellam
Elizabeth Clark
Tu Vu
Timothy Dozat
Dan Garrette
Aditya Siddhant
Jacob Eisenstein
Sebastian Gehrmann
15
19
0
02 Nov 2022
KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource
  Language
KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource Language
B. Wanjawa
Lilian D. A. Wanzare
F. Indede
Owen McOnyango
Lawrence Muchemi
Edward Ombui
26
19
0
04 May 2022
Dataset Geography: Mapping Language Data to Language Users
Dataset Geography: Mapping Language Data to Language Users
Fahim Faisal
Yinkai Wang
Antonios Anastasopoulos
56
23
0
07 Dec 2021
Machine Translation into Low-resource Language Varieties
Machine Translation into Low-resource Language Varieties
Sachin Kumar
Antonios Anastasopoulos
S. Wintner
Yulia Tsvetkov
11
29
0
12 Jun 2021
Towards More Equitable Question Answering Systems: How Much More Data Do
  You Need?
Towards More Equitable Question Answering Systems: How Much More Data Do You Need?
Arnab Debnath
Navid Rajabi
F. Alam
Antonios Anastasopoulos
20
11
0
28 May 2021
MLQA: Evaluating Cross-lingual Extractive Question Answering
MLQA: Evaluating Cross-lingual Extractive Question Answering
Patrick Lewis
Barlas Oğuz
Ruty Rinott
Sebastian Riedel
Holger Schwenk
ELM
246
491
0
16 Oct 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
319
0
21 Aug 2019
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