Search Results for author: Michael Elhadad

Found 20 papers, 7 papers with code

Cross-Lingual UMLS Named Entity Linking using UMLS Dictionary Fine-Tuning

1 code implementation Findings (ACL) 2022 Rina Galperin, Shachar Schnapp, Michael Elhadad

We study cross-lingual UMLS named entity linking, where mentions in a given source language are mapped to UMLS concepts, most of which are labeled in English.

Entity Linking Language Modelling

Evaluation Guidelines to Deal with Implicit Phenomena to Assess Factuality in Data-to-Text Generation

no code implementations ACL (unimplicit) 2021 Roy Eisenstadt, Michael Elhadad

We report on our experience when developing an automatic factuality evaluation system for data-to-text generation that we are testing on WebNLG and E2E data.

Data-to-Text Generation

Semantic Parsing for Complex Data Retrieval: Targeting Query Plans vs. SQL for No-Code Access to Relational Databases

no code implementations22 Dec 2023 Ben Eyal, Amir Bachar, Ophir Haroche, Michael Elhadad

In this paper, we investigate the potential of an alternative query language with simpler syntax and modular specification of complex queries.

Retrieval Semantic Parsing +1

Semantic Decomposition of Question and SQL for Text-to-SQL Parsing

1 code implementation20 Oct 2023 Ben Eyal, Amir Bachar, Ophir Haroche, Moran Mahabi, Michael Elhadad

However, this strategy encounters two major obstacles: (1) existing datasets lack question decomposition; (2) due to the syntactic complexity of SQL, most complex queries cannot be disentangled into sub-queries that can be readily recomposed.

Retrieval Semantic Parsing +2

Emptying the Ocean with a Spoon: Should We Edit Models?

no code implementations18 Oct 2023 Yuval Pinter, Michael Elhadad

We call into question the recently popularized method of direct model editing as a means of correcting factual errors in LLM generations.

Model Editing Retrieval

Data Efficient Masked Language Modeling for Vision and Language

1 code implementation Findings (EMNLP) 2021 Yonatan Bitton, Gabriel Stanovsky, Michael Elhadad, Roy Schwartz

We investigate a range of alternative masking strategies specific to the cross-modal setting that address these shortcomings, aiming for better fusion of text and image in the learned representation.

Language Modelling Masked Language Modeling +1

Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA

2 code implementations NAACL 2021 Yonatan Bitton, Gabriel Stanovsky, Roy Schwartz, Michael Elhadad

Recent works have shown that supervised models often exploit data artifacts to achieve good test scores while their performance severely degrades on samples outside their training distribution.

Question Answering Relational Reasoning +1

Sideways Transliteration: How to Transliterate Multicultural Person Names?

no code implementations27 Nov 2019 Raphael Cohen, Michael Elhadad

Our method is based on a step of noisy transliteration and then ranking of the results based on origin specific letter models.

Transliteration

Question Answering as an Automatic Evaluation Metric for News Article Summarization

2 code implementations NAACL 2019 Matan Eyal, Tal Baumel, Michael Elhadad

Recent work in the field of automatic summarization and headline generation focuses on maximizing ROUGE scores for various news datasets.

Headline Generation Question Answering +1

Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment

1 code implementation27 Sep 2017 Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen, Michael Elhadad, No`emie Elhadad

In the context of the Electronic Health Record, automated diagnosis coding of patient notes is a useful task, but a challenging one due to the large number of codes and the length of patient notes.

General Classification Multi-Label Classification +2

The Hebrew FrameNet Project

no code implementations LREC 2016 Avi Hayoun, Michael Elhadad

We present the Hebrew FrameNet project, describe the development and annotation processes and enumerate the challenges we faced along the way.

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