This study proposes a method for automatically summarizing video speech transcripts by using social tags and the maximum marginal relevance (MMR) model. An.
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This study proposes a method for automatically summarizing video speech transcripts by using social tags and the maximum marginal relevance (MMR) model.
We extend the notion of social tagging to construct social summaries of complex multimedia materials. Our system allows students to apply time-indexed ...
This study proposes a method for automatically summarizing video speech transcripts by using social tags and the maximum marginal relevance (MMR) model.
To generate a summary, students will first need a stimulus, such as a picture scene, passage, story, or video. It's no secret that we love literacy-based ...
Sep 13, 2023 · This paper delves into the domain of summarizing short text on social media, exploring various types of short text and the associated challenges they present.
We extend the notion of social tagging to construct social summaries of complex multimedia materials. Our system allows students to apply time-indexed ...
Jul 2, 2024 · Abstractive Speech Summarization (SSum) aims to generate human-like text summaries from spoken content. It encounters difficulties in handling ...
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Speech summarization techniques take human speech as input and then output an abridged version as text or speech. Speech summarization has applications in ...
Our method of summarizing each utterance is to extract a set of words representing the core information in the original speech from an automatically transcribed ...