2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2022
Understanding Domain Learning in Language Models Through Subpopulation Analysis
Zheng Zhao, Yftah Ziser, Shay B. Cohen
We investigate how different domains are encoded in modern neural network architectures. We analyze the relationship between natural language domains, model size, and the amount of…
cs.CL2021★ 2 cited
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction
Entony Lekhtman, Yftah Ziser, Roi Reichart
The rise of pre-trained language models has yielded substantial progress in the vast majority of Natural Language Processing (NLP) tasks. However, a generic approach towards the pr…
cs.CL2021
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products
Ohad Rozen, David Carmel, Avihai Mejer +2
Predicting the answer to a product-related question is an emerging field of research that recently attracted a lot of attention. Answering subjective and opinion-based questions is…