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Abstractive Summarization of Meeting Conversations

Daksha Singhal, Kavya Khatter, A Tejaswini, R. Jayashree

20202020 IEEE International Conference for Innovation in Technology (INOCON)19 citationsDOI

Abstract

This paper contains the research work of encapsulating meetings by summarizing it which is within the style of dialogues. Throughout this process, the report will contain extractive information as an abstract of the text which is provided to the end-user. Abstractive and extractive methods are the foremost eminent techniques in text summarization. Extractive summarization is the most common summarization technique as it captures sentences based on either their frequency or using ranks associated with each of them and hence is unable to come up with grammatically correct sentences. The abstractive summarization may generate new vocabulary words apart from acquiring some extractive information from the text corpus. Here, we use the abstractive method of summarizing to train our model for dialogue systems.

Topics & Concepts

Automatic summarizationComputer scienceVocabularyNatural language processingInformation retrievalStyle (visual arts)Artificial intelligenceMulti-document summarizationProcess (computing)LinguisticsHistoryArchaeologyOperating systemPhilosophyTopic ModelingNatural Language Processing TechniquesSpeech and dialogue systems
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