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.
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.
no code implementations • 22 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.
1 code implementation • 20 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.
no code implementations • 18 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.
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.
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.
1 code implementation • LREC 2020 • Ben Eyal, Michael Elhadad
We present a semantic role labeling resource for Hebrew built semi-automatically through annotation projection from English.
no code implementations • 27 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.
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.
no code implementations • 23 Jan 2018 • Tal Baumel, Matan Eyal, Michael Elhadad
Query Focused Summarization (QFS) has been addressed mostly using extractive methods.
Ranked #1 on Query-Based Extractive Summarization on Debatepedia
1 code implementation • 27 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.
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.