activity
20162026
most citedFormalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

66 citations · 418 across the 62 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CL2019

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…

cs.LG2019★ 23 cited

Learning Deterministic Weighted Automata with Queries and Counterexamples

Gail Weiss, Yoav Goldberg, Eran Yahav

We present an algorithm for extraction of a probabilistic deterministic finite automaton (PDFA) from a given black-box language model, such as a recurrent neural network (RNN). The…

cs.CL2019★ 1 cited

Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning

Alon Jacovi, Gang Niu, Yoav Goldberg +1

We consider the situation in which a user has collected a small set of documents on a cohesive topic, and they want to retrieve additional documents on this topic from a large coll…

cs.CL2019

Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation

Amit Moryossef, Ido Dagan, Yoav Goldberg

We follow the step-by-step approach to neural data-to-text generation we proposed in Moryossef et al (2019), in which the generation process is divided into a text-planning stage f…

cs.CL2019

Ab Antiquo: Neural Proto-language Reconstruction

Carlo Meloni, Shauli Ravfogel, Yoav Goldberg

Historical linguists have identified regularities in the process of historic sound change. The comparative method utilizes those regularities to reconstruct proto-words based on ob…