310 citations · 422 across the 12 of their papers we have counts for
5 papers · 1 filter
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension
Dheeru Dua, Ananth Gottumukkala, Alon Talmor +2
Reading comprehension is one of the crucial tasks for furthering research in natural language understanding. A lot of diverse reading comprehension datasets have recently been intr…
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor, Yanai Elazar, Yoav Goldberg +1
Recent success of pre-trained language models (LMs) has spurred widespread interest in the language capabilities that they possess. However, efforts to understand whether LM repres…
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
Adam Fisch, Alon Talmor, Robin Jia +3
We present the results of the Machine Reading for Question Answering (MRQA) 2019 shared task on evaluating the generalization capabilities of reading comprehension systems. In this…
Question Answering is a Format; When is it Useful?
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi +2
Recent years have seen a dramatic expansion of tasks and datasets posed as question answering, from reading comprehension, semantic role labeling, and even machine translation, to…
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension
Alon Talmor, Jonathan Berant
A large number of reading comprehension (RC) datasets has been created recently, but little analysis has been done on whether they generalize to one another, and the extent to whic…