no code implementations • ACL 2021 • Nadav Oved, Ran Levy
We propose the PASS system (Perturb-and-Select Summarizer) that employs a large pre-trained Transformer-based model (T5 in our case), which follows a few-shot fine-tuning scheme.
no code implementations • NAACL 2021 • Iftah Gamzu, Hila Gonen, Gilad Kutiel, Ran Levy, Eugene Agichtein
This task is closely related to the task of Multi Document Summarization in the product reviews domain but differs in its objective and its level of conciseness.
no code implementations • 22 Jul 2020 • Ori Shapira, Ran Levy
Product reviews summarization is a type of Multi-Document Summarization (MDS) task in which the summarized document sets are often far larger than in traditional MDS (up to tens of thousands of reviews).
no code implementations • COLING 2018 • Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim
Our results clearly indicate that the system is able to successfully generalize from the weak signal, outperforming previously reported results in terms of both precision and coverage.
no code implementations • EMNLP 2017 • Eyal Shnarch, Ran Levy, Vikas Raykar, Noam Slonim
A human observer may notice the following underlying common structure, or pattern: [someone][argue/suggest/state][that][topic term][sentiment term].
no code implementations • WS 2017 • Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim
Automatic claim detection is a fundamental argument mining task that aims to automatically mine claims regarding a topic of consideration.
no code implementations • COLING 2014 • Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund