Ran Levy

Affiliations:
  • Amazon, Tel Aviv, Israel
  • IBM Research, Haifa, Israel (former)


According to our database1, Ran Levy authored at least 12 papers between 2014 and 2021.

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Bibliography

2021
Identifying Helpful Sentences in Product Reviews.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

PASS: Perturb-and-Select Summarizer for Product Reviews.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Massive Multi-Document Summarization of Product Reviews with Weak Supervision.
CoRR, 2020

2018
Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Towards an argumentative content search engine using weak supervision.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Boosting conditional probability estimators.
Ann. Math. Artif. Intell., 2017

GRASP: Rich Patterns for Argumentation Mining.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Unsupervised corpus-wide claim detection.
Proceedings of the 4th Workshop on Argument Mining, 2017

2015
TR9856: A Multi-word Term Relatedness Benchmark.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.
Proceedings of the COLING 2014, 2014

Context Dependent Claim Detection.
Proceedings of the COLING 2014, 2014

A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics.
Proceedings of the First Workshop on Argument Mining, 2014


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