Tal Baumel

Controllable Synthetic Clinical Note Generation with Privacy Guarantees

2024 · arXiv (Cornell University)

In the field of machine learning, domain-specific annotated data is an invaluable resource for training effective models. However, in the medical domain, this data often includes Personal Health Information (PHI), raising significant privacy concerns. The …

Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models

2018 · arXiv (Cornell University)

Query Focused Summarization (QFS) has been addressed mostly using extractive methods. Such methods, however, produce text which suffers from low coherence. We investigate how abstractive methods can be applied to QFS, to overcome such limitations. …

Question Answering as an Automatic Evaluation Metric for News Article Summarization

2019

Matan Eyal, Tal Baumel, Michael Elhadad. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019.