Noam Slonim
7 papers in the PaperMetrix corpus
Papers by this author
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Learning Concept Abstractness Using Weak Supervision
2018
Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018.
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Multilingual Argument Mining: Datasets and Analysis
2020
The growing interest in argument mining and computational argumentation brings with it a plethora of Natural Language Understanding (NLU) tasks and corresponding datasets. However, as with many other NLU tasks, the dominant language is English, …
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YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews
2020 · arXiv (Cornell University)
Current TSA evaluation in a cross-domain setup is restricted to the small set of review domains available in existing datasets. Such an evaluation is limited, and may not reflect true performance on sites like Amazon …
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Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis
2022 · arXiv (Cornell University)
In recent years, pretrained language models have revolutionized the NLP world, while achieving state of the art performance in various downstream tasks. However, in many cases, these models do not perform well when labeled data …
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Quality Controlled Paraphrase Generation
2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
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Zero-Shot Text Classification with Self-Training
2022 · arXiv (Cornell University)
Recent advances in large pretrained language models have increased attention to zero-shot text classification. In particular, models finetuned on natural language inference datasets have been widely adopted as zero-shot classifiers due to their promising results …
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Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy
2023
Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim. Findings of the Association for Computational Linguistics: EACL 2023. 2023.