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2. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   Automatic summarization. Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different ...

3. Resoomer - Wikipedia

   en.wikipedia.org/wiki/Resoomer

   Resoomer provides an online tool that can summarize any text regardless of the length and nature of the document (press article, scientific journal, essay, book, etc.). [6] [7] Google Chrome and Mozilla Firefox browser extensions are also available. [8] The platform has also set up a reading assistant that offers full reading of the summary out ...

4. Multi-document summarization - Wikipedia

   en.wikipedia.org/wiki/Multi-document_summarization

   Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents. In such a way ...

5. T5 (language model) - Wikipedia

   en.wikipedia.org/wiki/T5_(language_model)

   They have been employed in various applications, including chatbots, machine translation systems, text summarization tools, code generation, and robotics. [3] Like the original Transformer model, [4] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

6. LangChain - Wikipedia

   en.wikipedia.org/wiki/LangChain

   LangChain.com. LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.

7. Sentence extraction - Wikipedia

   en.wikipedia.org/wiki/Sentence_extraction

   Sentence extraction. Sentence extraction is a technique used for automatic summarization of a text. In this shallow approach, statistical heuristics are used to identify the most salient sentences of a text. Sentence extraction is a low-cost approach compared to more knowledge-intensive deeper approaches which require additional knowledge bases ...