Results 31 to 40 of about 9,383 (202)
The Design of Automatic Summarization of Indonesian Texts Using a Hybrid Approach
Jurnal Teknologi Informasi dan Pendidikan, 2022 This study aims to design a model for automatic text summarization in Indonesian. Automatic text summarization is a system that reduces the number of sentences without losing important information in the document.
Kania Evita Dewi +1 more
doaj +1 more source
Document-Level Abstractive Summarization
, 2022 The task of automatic text summarization produces a concise and fluent text summary while preserving key information and overall meaning. Recent approaches to document-level summarization have seen significant improvements in recent years by using models based on the Transformer architecture.
Raposo, Gonçalo +2 more
openaire +2 more sources
Text Summarization and Translation of Summarized Outcome in French [PDF]
E3S Web of Conferences, 2023 Automatic text summarization is increasingly required with the exponential growth of unstructured text through increasing internet and social media usage across the globe. The various approaches are outcomes of extraction-based and abstraction-based.
Vetriselvi T., Mathur Mihir
doaj +1 more source
IDAS: Intent Discovery with Abstractive Summarization
Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023), 2023 The 5th Workshop on NLP for Conversational AI (NLP4ConvAI@ACL)
De Raedt, Maarten +3 more
openaire +2 more sources
Adapting End-to-End Speech Recognition for Readable Subtitles
, 2020 Automatic speech recognition (ASR) systems are primarily evaluated on transcription accuracy. However, in some use cases such as subtitling, verbatim transcription would reduce output readability given limited screen size and reading time.
Liu, Danni +2 more
core +1 more source
Faithful to the Original: Fact Aware Neural Abstractive Summarization
, 2017 Unlike extractive summarization, abstractive summarization has to fuse different parts of the source text, which inclines to create fake facts. Our preliminary study reveals nearly 30% of the outputs from a state-of-the-art neural summarization system ...
Cao, Ziqiang +3 more
core +1 more source
Amharic Abstractive Text Summarization
, 2020 content 3 pages, reference 2 pages, 2 figures, presented to AfricaNLP workshop ICLR ...
Zaki, Amr M. +2 more
openaire +2 more sources
Improving Abstractive Dialogue Summarization Using Keyword Extraction
Applied Sciences, 2023 ive dialogue summarization aims to generate a short passage that contains important content for a particular dialogue spoken by multiple speakers. In abstractive dialogue summarization systems, capturing the subject in the dialogue is challenging owing ...
Chongjae Yoo, Hwanhee Lee
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Selective Encoding for Abstractive Sentence Summarization
, 2017 We propose a selective encoding model to extend the sequence-to-sequence framework for abstractive sentence summarization. It consists of a sentence encoder, a selective gate network, and an attention equipped decoder.
Wei, Furu +3 more
core +1 more source
A Neural Attention Model for Abstractive Sentence Summarization
, 2015 Summarization based on text extraction is inherently limited, but generation-style abstractive methods have proven challenging to build. In this work, we propose a fully data-driven approach to abstractive sentence summarization.
Chopra, Sumit +2 more
core +1 more source