90 citations · 442 across the 35 of their papers we have counts for
13 papers · 1 filter
Value-based Search in Execution Space for Mapping Instructions to Programs
Dor Muhlgay, Jonathan Herzig, Jonathan Berant
Training models to map natural language instructions to programs given target world supervision only requires searching for good programs at training time. Search is commonly done…
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie +1
When answering a question, people often draw upon their rich world knowledge in addition to the particular context. Recent work has focused primarily on answering questions given s…
Evaluating Text GANs as Language Models
Guy Tevet, Gavriel Habib, Vered Shwartz +1
Generative Adversarial Networks (GANs) are a promising approach for text generation that, unlike traditional language models (LM), does not suffer from the problem of ``exposure bi…
Emergence of Communication in an Interactive World with Consistent Speakers
Ben Bogin, Mor Geva, Jonathan Berant
Training agents to communicate with one another given task-based supervision only has attracted considerable attention recently, due to the growing interest in developing models fo…
Explaining Queries over Web Tables to Non-Experts
Jonathan Berant, Daniel Deutch, Amir Globerson +2
Designing a reliable natural language (NL) interface for querying tables has been a longtime goal of researchers in both the data management and natural language processing (NLP) c…
Repartitioning of the ComplexWebQuestions Dataset
Alon Talmor, Jonathan Berant
Recently, Talmor and Berant (2018) introduced ComplexWebQuestions - a dataset focused on answering complex questions by decomposing them into a sequence of simpler questions and ex…