Moshe Wasserblat
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Speech Recognition and Synthesis, Advanced Text Analysis Techniques, Sentiment Analysis and Opinion Mining
Most-Cited Works
- → Efficient Few-Shot Learning Without Prompts(2022)98 cited
- → Q8BERT: Quantized 8Bit BERT(2019)31 cited
- → Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction(2020)30 cited
- → Prune Once for All: Sparse Pre-Trained Language Models(2021)26 cited
- → How to Deal with Multiple-Targets in Speaker Identification Systems?(2006)20 cited
- → ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System(2019)18 cited
- → Exploring the Boundaries of Low-Resource BERT Distillation(2020)17 cited
- → Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing(2020)16 cited
- → Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs(2022)16 cited
- → InterpreT: An Interactive Visualization Tool for Interpreting Transformers(2021)13 cited