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LLM aided semi-supervision for Extractive Dialog Summarization

2023 · arXiv (Cornell University)

Generating high-quality summaries for chat dialogs often requires large labeled datasets. We propose a method to efficiently use unlabeled data for extractive summarization of customer-agent dialogs. In our method, we frame summarization as a question-answering …

Is Neural Machine Translation the New State of the Art?

2017 · ˜The œPrague Bulletin of Mathematical Linguistics

Abstract This paper discusses neural machine translation (NMT), a new paradigm in the MT field, comparing the quality of NMT systems with statistical MT by describing three studies using automatic and human evaluation methods. Automatic …