b'Omri Abend'

research

∙ 07/13/2023

Generating Benchmarks for Factuality Evaluation of Language Models

Before deploying a language model (LM) within a given domain, it is impo...

0 Dor Muhlgay, et al. ∙

research

∙ 05/24/2023

MuLER: Detailed and Scalable Reference-based Evaluation

We propose a novel methodology (namely, MuLER) that transforms any refer...

0 Taelin Karidi, et al. ∙

research

∙ 02/16/2023

Evaluating and Improving the Coreference Capabilities of Machine Translation Models

Machine translation (MT) requires a wide range of linguistic capabilitie...

0 Asaf Yehudai, et al. ∙

research

∙ 02/09/2023

A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions

We present a large, multilingual study into how vision constrains lingui...

0 Uri Berger, et al. ∙

research

∙ 12/21/2022

Parallel Context Windows Improve In-Context Learning of Large Language Models

For applications that require processing large amounts of text at infere...

0 Nir Ratner, et al. ∙

research

∙ 11/16/2022

Cognitive Simplification Operations Improve Text Simplification

Text Simplification (TS) is the task of converting a text into a form th...

0 Eytan Chamovitz, et al. ∙

research

∙ 11/10/2022

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering

Question answering models commonly have access to two sources of "knowle...

0 Ella Neeman, et al. ∙

research

∙ 10/25/2022

Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies

The task of topical segmentation is well studied, but previous work has ...

0 Eitan Wagner, et al. ∙

research

∙ 10/06/2022

Reinforcement Learning with Large Action Spaces for Neural Machine Translation

Applying Reinforcement learning (RL) following maximum likelihood estima...

9 Asaf Yehudai, et al. ∙

research

∙ 05/18/2022

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance

We present the task of PreQuEL, Pre-(Quality-Estimation) Learning. A Pre...

0 Shachar Don-Yehiya, et al. ∙

research

∙ 05/12/2022

A Computational Acquisition Model for Multimodal Word Categorization

Recent advances in self-supervised modeling of text and images open new ...

0 Uri Berger, et al. ∙

research

∙ 05/11/2022

Some Grammatical Errors are Frequent, Others are Important

In Grammatical Error Correction, systems are evaluated by the number of ...

0 Leshem Choshen, et al. ∙

research

∙ 05/01/2022

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Huge language models (LMs) have ushered in a new era for AI, serving as ...

6 Ehud Karpas, et al. ∙

research

∙ 10/13/2021

Semantics-aware Attention Improves Neural Machine Translation

The integration of syntactic structures into Transformer machine transla...

0 Aviv Slobodkin, et al. ∙

research

∙ 10/09/2021

On the Relation between Syntactic Divergence and Zero-Shot Performance

We explore the link between the extent to which syntactic relations are ...

0 Ofir Arviv, et al. ∙

research

∙ 10/06/2021

On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation

To gain insight into the role neurons play, we study the activation patt...

0 Gal Patel, et al. ∙

research

∙ 09/23/2021

Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords

We present a method for exploring regions around individual points in a ...

0 Taelin Karidi, et al. ∙

research

∙ 09/22/2021

Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech

While corpora of child speech and child-directed speech (CDS) have enabl...

6 Ida Szubert, et al. ∙

research

∙ 09/13/2021

The Grammar-Learning Trajectories of Neural Language Models

The learning trajectories of linguistic phenomena provide insight into t...

1 Leshem Choshen, et al. ∙

research

∙ 06/01/2021

Part of Speech and Universal Dependency effects on English Arabic Machine Translation

In this research paper, I will elaborate on a method to evaluate machine...

0 Ofek Rafaeli, et al. ∙

research

∙ 04/16/2021

Q^2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering

Neural knowledge-grounded generative models for dialogue often produce c...

0 Or Honovich, et al. ∙

research

∙ 04/13/2021

Mediators in Determining what Processing BERT Performs First

Probing neural models for the ability to perform downstream tasks using ...

1 Aviv Slobodkin, et al. ∙

research

∙ 04/06/2021

SERRANT: a syntactic classifier for English Grammatical Error Types

SERRANT is a system and code for automatic classification of English gra...

1 Leshem Choshen, et al. ∙

research

∙ 01/29/2021

Transition based Graph Decoder for Neural Machine Translation

While a number of works showed gains from incorporating source-side symb...

1 Leshem Choshen, et al. ∙

research

∙ 12/31/2020

UCCA's Foundational Layer: Annotation Guidelines v2.1

This is the annotation manual for Universal Conceptual Cognitive Annotat...

0 Omri Abend, et al. ∙

research

∙ 11/02/2020

Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics

Building robust natural language understanding systems will require a cl...

0 Daniel Hershcovich, et al. ∙

research

∙ 10/21/2020

Classifying Syntactic Errors in Learner Language

We present a method for classifying syntactic errors in learner language...

1 Leshem Choshen, et al. ∙

research

∙ 10/05/2020

PMI-Masking: Principled masking of correlated spans

Masking tokens uniformly at random constitutes a common flaw in the pret...

5 Yoav Levine, et al. ∙

research

∙ 05/07/2020

Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences

The patterns in which the syntax of different languages converges and di...

0 Dmitry Nikolaev, et al. ∙

research

∙ 05/01/2020

Language (Re)modelling: Towards Embodied Language Understanding

While natural language understanding (NLU) is advancing rapidly, today's...

0 Ronen Tamari, et al. ∙

research

∙ 09/19/2019

Made for Each Other: Broad-coverage Semantic Structures Meet Preposition Supersenses

Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 20...

0 Jakob Prange, et al. ∙

research

∙ 09/15/2019

Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation

We show that the state of the art Transformer Machine Translation(MT) mo...

0 Leshem Choshen, et al. ∙

research

∙ 09/15/2019

Automatically Extracting Challenge Sets for Non-local Phenomena Neural Machine Translation

We show that the state-of-the-art Transformer MT model is not biased tow...

0 Leshem Choshen, et al. ∙

research

∙ 07/03/2019

On the Weaknesses of Reinforcement Learning for Neural Machine Translation

Reinforcement learning (RL) is frequently used to increase performance i...

0 Leshem Choshen, et al. ∙

research

∙ 06/03/2019

Semantically Constrained Multilayer Annotation: The Case of Coreference

We propose a coreference annotation scheme as a layer on top of the Univ...

0 Jakob Prange, et al. ∙

research

∙ 05/14/2019

The Language of Legal and Illegal Activity on the Darknet

The non-indexed parts of the Internet (the Darknet) have become a haven ...

0 Leshem Choshen, et al. ∙

research

∙ 03/15/2019

Content Differences in Syntactic and Semantic Representations

Syntactic analysis plays an important role in semantic parsing, but the ...

0 Daniel Hershcovich, et al. ∙

research

∙ 03/06/2019

SemEval 2019 Task 1: Cross-lingual Semantic Parsing with UCCA

We present the SemEval 2019 shared task on UCCA parsing in English, Germ...

0 Daniel Hershcovich, et al. ∙

research

∙ 10/14/2018

BLEU is Not Suitable for the Evaluation of Text Simplification

BLEU is widely considered to be an informative metric for text-to-text g...

0 Elior Sulem, et al. ∙

research

∙ 10/11/2018

Simple and Effective Text Simplification Using Semantic and Neural Methods

Sentence splitting is a major simplification operator. Here we present a...

0 Elior Sulem, et al. ∙

research

∙ 10/11/2018

Semantic Structural Evaluation for Text Simplification

Current measures for evaluating text simplification systems focus on eva...

0 Elior Sulem, et al. ∙

research

∙ 08/28/2018

Universal Dependency Parsing with a General Transition-Based DAG Parser

This paper presents our experiments with applying TUPA to the CoNLL 2018...

0 Daniel Hershcovich, et al. ∙

research

∙ 05/31/2018

SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation

We announce a shared task on UCCA parsing in English, German and French,...

0 Daniel Hershcovich, et al. ∙

research

∙ 05/13/2018

Comprehensive Supersense Disambiguation of English Prepositions and Possessives

Semantic relations are often signaled with prepositional or possessive m...

0 Nathan Schneider, et al. ∙

research

∙ 05/01/2018

Multitask Parsing Across Semantic Representations

The ability to consolidate information of different types is at the core...

0 Daniel Hershcovich, et al. ∙

research

∙ 04/30/2018

Automatic Metric Validation for Grammatical Error Correction

Metric validation in Grammatical Error Correction (GEC) is currently don...

0 Leshem Choshen, et al. ∙

research

∙ 04/11/2018

Reference-less Measure of Faithfulness for Grammatical Error Correction

We propose USim, a semantic measure for Grammatical Error Correction (G...

0 Leshem Choshen, et al. ∙

research

∙ 04/07/2017

Adposition Supersenses v2

This document describes an inventory of 50 semantic labels designed to c...

0 Nathan Schneider, et al. ∙

research

∙ 04/03/2017

A Transition-Based Directed Acyclic Graph Parser for UCCA

We present the first parser for UCCA, a cross-linguistically applicable ...

0 Daniel Hershcovich, et al. ∙

research

∙ 06/30/2016

HUME: Human UCCA-Based Evaluation of Machine Translation

Human evaluation of machine translation normally uses sentence-level mea...

0 Alexandra Birch, et al. ∙

Omri Abend

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