99 citations · 330 across the 75 of their papers we have counts for
7 papers · 1 filter
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation
Leshem Choshen, Omri Abend
We show that the state of the art Transformer Machine Translation (MT) model is not biased towards monotonic reordering (unlike previous recurrent neural network models), but that…
Made for Each Other: Broad-coverage Semantic Structures Meet Preposition Supersenses
Jakob Prange, Nathan Schneider, Omri Abend
Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013) is a typologically-informed, broad-coverage semantic annotation scheme that describes coarse-grained pre…
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen, Lior Fox, Zohar Aizenbud +1
Reinforcement learning (RL) is frequently used to increase performance in text generation tasks, including machine translation (MT), notably through the use of Minimum Risk Trainin…
Semantically Constrained Multilayer Annotation: The Case of Coreference
Jakob Prange, Nathan Schneider, Omri Abend
We propose a coreference annotation scheme as a layer on top of the Universal Conceptual Cognitive Annotation foundational layer, treating units in predicate-argument structure as…
The Language of Legal and Illegal Activity on the Darknet
Leshem Choshen, Dan Eldad, Daniel Hershcovich +2
The non-indexed parts of the Internet (the Darknet) have become a haven for both legal and illegal anonymous activity. Given the magnitude of these networks, scalably monitoring th…
Content Differences in Syntactic and Semantic Representations
Daniel Hershcovich, Omri Abend, Ari Rappoport
Syntactic analysis plays an important role in semantic parsing, but the nature of this role remains a topic of ongoing debate. The debate has been constrained by the scarcity of em…