Moshe Wasserblat

According to our database1, Moshe Wasserblat authored at least 23 papers between 2000 and 2023.

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Bibliography

2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs.
CoRR, 2023

Optimizing Retrieval-augmented Reader Models via Token Elimination.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Fast DistilBERT on CPUs.
CoRR, 2022

QuaLA-MiniLM: a Quantized Length Adaptive MiniLM.
CoRR, 2022

Efficient Few-Shot Learning Without Prompts.
CoRR, 2022

TangoBERT: Reducing Inference Cost by using Cascaded Architecture.
CoRR, 2022

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length.
CoRR, 2021

Prune Once for All: Sparse Pre-Trained Language Models.
CoRR, 2021

InterpreT: An Interactive Visualization Tool for Interpreting Transformers.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2020
Exploring the Boundaries of Low-Resource BERT Distillation.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion.
CoRR, 2019

Q8BERT: Quantized 8Bit BERT.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow.
CoRR, 2018

Term Set Expansion based NLP Architect by Intel AI Lab.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings.
Proceedings of the COLING 2018, 2018

2015
Meeting assistant application.
Proceedings of the INTERSPEECH 2015, 2015

2006
How to Deal with Multiple-Targets in Speaker Identification Systems?
Proceedings of the Odyssey 2006, 2006

2000
Underwater acoustic communications using a-priori statistics on channel time-variations.
Proceedings of the IEEE International Conference on Acoustics, 2000


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