Leshem Choshen

Publications

• ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning

  • • Shachar Don-Yehiya
    • Elad Venezian
    • et al.
  • 2023
  • ACL 2023

  Conference paper

• Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours

  • • Eyal Shnarch
    • Alon Halfon
    • et al.
  • 2022
  • EMNLP 2022

  Demo paper

• GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns

  • • Piyawat Lertvittayakumjorn
    • Leshem Choshen
    • et al.
  • 2022
  • LREC 2022

  Conference paper

• Cluster & Tune: Boost Cold Start Performance in Text Classification

  • • Eyal Shnarch
    • Ariel Gera
    • et al.
  • 2022
  • ACL 2022

  Conference paper

• An autonomous debating system

  • • Noam Slonim
    • Yonatan Bilu
    • et al.
  • 2021
  • Nature

  Paper

• Active learning for BERT: An empirical study

  • • Liat Ein-Dor
    • Alon Halfon
    • et al.
  • 2020
  • EMNLP 2020

  Conference paper

• Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains

  • • Eyal Shnarch
    • Leshem Choshen
    • et al.
  • 2020
  • EMNLP 2020

  Paper

• Corpus Wide Argument Mining - A Working Solution

  • • Liat Ein-Dor
    • Eyal Shnarch
    • et al.
  • 2020
  • AAAI 2020

  Conference paper

• Are you convinced? Choosing the more convincing evidence with a Siamese network

  • • Martin Gleize
    • Eyal Shnarch
    • et al.
  • 2019
  • ACL 2019

  Conference paper

• Will it blend? Blending weak and strong labeled data in a neural network for argumentation mining

  • • Eyal Shnarch
    • Carlos Alzate
    • et al.
  • 2018
  • ACL 2018

  Conference paper