Models pre-trained with a language modeling objective possess ample worl...
To what extent can a neural network systematically reason over symbolic
...
Recent success of pre-trained language models (LMs) has spurred widespre...
Reading comprehension is one of the crucial tasks for furthering researc...
We present the results of the Machine Reading for Question Answering (MR...
Recent years have seen a dramatic expansion of tasks and datasets posed ...
A large number of reading comprehension (RC) datasets has been created
r...
When answering a question, people often draw upon their rich world knowl...
Recently, Talmor and Berant (2018) introduced ComplexWebQuestions - a da...
Answering complex questions is a time-consuming activity for humans that...
Semantic parsing shines at analyzing complex natural language that invol...