Omri Abend

Adposition Supersenses v2.

2017 · arXiv (Cornell University)

This document describes an inventory of 50 semantic labels designed to characterize the use of adpositions and case markers at a somewhat coarse level of granularity. Version 2 is a revision of the supersense inventory …

Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation

2019

We show that the state-of-the-art Transformer MT model is not biased towards monotonic reordering (unlike previous recurrent neural network models), but that nevertheless, longdistance dependencies remain a challenge for the model. Since most dependencies are …

Q2: : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering

2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Neural knowledge-grounded generative models for dialogue often produce content that is factually inconsistent with the knowledge they rely on, making them unreliable and limiting their applicability. Inspired by recent work on evaluating factual consistency in …

The Grammar-Learning Trajectories of Neural Language Models

2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

The learning trajectories of linguistic phenomena in humans provide insight into linguistic representation, beyond what can be gleaned from inspecting the behavior of an adult speaker. To apply a similar approach to analyze neural language …

A Computational Acquisition Model for Multimodal Word Categorization

2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

Parallel Context Windows for Large Language Models

2023

Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long …

Semantic Structural Evaluation for Text Simplification

2018

Elior Sulem, Omri Abend, Ari Rappoport. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.

BLEU is Not Suitable for the Evaluation of Text Simplification

2018

BLEU is widely considered to be an informative metric for text-to-text generation, including Text Simplification (TS). TS includes both lexical and structural aspects. In this paper we show that BLEU is not suitable for the …