no code implementations • 2 Dec 2022 • Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
We show that ColD Fusion yields comparable benefits to multitask pretraining by producing a model that (a) attains strong performance on all of the datasets it was multitask trained on and (b) is a better starting point for finetuning on unseen datasets.
no code implementations • 31 Oct 2022 • Leshem Choshen, Elad Venezian, Shachar Don-Yehia, Noam Slonim, Yoav Katz
Such a model, finetuned on some source dataset, may provide a better starting point for a new finetuning process on a desired target dataset.
1 code implementation • 6 Apr 2022 • Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz
We also show that fusing is often better than intertraining.
no code implementations • EMNLP (ACL) 2021 • Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim
Engaging in a live debate requires a diverse set of skills, and Project Debater has been developed accordingly as a collection of components, each designed to perform a specific subtask.
no code implementations • ACL 2021 • Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, Noam Slonim
We present a complete pipeline of a debating system, and discuss the information flow and the interaction between the various components.
no code implementations • IJCNLP 2019 • Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
In spite of the inherent subjective nature of the task, both annotation schemes led to surprisingly consistent results.
no code implementations • 3 Sep 2019 • Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
In spite of the inherent subjective nature of the task, both annotation schemes led to surprisingly consistent results.
no code implementations • ACL 2018 • Liat Ein Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim
We train a triplet network to embed sentences from the same section closer.
no code implementations • 23 Jan 2018 • Yosi Mass, Lili Kotlerman, Shachar Mirkin, Elad Venezian, Gera Witzling, Noam Slonim
We describe a large, high-quality benchmark for the evaluation of Mention Detection tools.
no code implementations • LREC 2018 • Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim
This paper describes an English audio and textual dataset of debating speeches, a unique resource for the growing research field of computational argumentation and debating technologies.