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Guy Feigenblat

2 accepted papers

2021

TWEETSUMM - A Dialog Summarization Dataset for Customer Service

EMNLP 2021finding

In a typical customer service chat scenario, customers contact a support center to ask for help or raise complaints, and human agents try to solve the issues. In most cases, at the end of the conversation, agents are asked to write a short summary emphasizing the problem and the proposed solution, u…

2021

Using Question Answering Rewards to Improve Abstractive Summarization

EMNLP 2021finding

Neural abstractive summarization models have drastically improved in the recent years. However, the summaries generated by these models generally suffer from issues such as: not capturing the critical facts in source documents, and containing facts that are inconsistent with the source documents. In…