Results 51 to 60 of about 9,383 (202)
A Combined Extractive With Abstractive Model for Summarization
IEEE Access, 2021 Aiming at the difficulties in document-level summarization, this paper presents a two-stage, extractive and then abstractive summarization model. In the first stage, we extract the important sentences by combining sentences similarity matrix (only used ...
Wenfeng Liu +3 more
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Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
, 2019 ive community detection is an important spoken language understanding task, whose goal is to group utterances in a conversation according to whether they can be jointly summarized by a common abstractive sentence.
Lorré, Jean-Pierre +3 more
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Abstractive Text Summarization Based on Neural Fusion
Proceedings of the International Florida Artificial Intelligence Research Society Conferenceive text summarization, in comparison to extractive text summarization, offers the potential to generate more accurate summaries. In our work, we present a stage-wise abstractive text summarization model that incorporates Elementary Discourse Unit (EDU ...
Yllias Chali, Wenzhao Zhu
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Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
, 2022 Current abstractive summarization models either suffer from a lack of clear interpretability or provide incomplete rationales by only highlighting parts of the source document. To this end, we propose the Summarization Program (SP), an interpretable modular framework consisting of an (ordered) list of binary trees, each encoding the step-by-step ...
Saha, Swarnadeep +3 more
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Abstractive Summarization Model for Summarizing Scientific Article
IEEE AccessThe rapid growth in scientific article publications allows us to access articles as soon as possible. Therefore, automatic summarization systems (ATSs) are widely preferred. In most studies, the en-tire source document is expected to be summarized, just as it would be summarized by a human.
Mehtap Ulker, A. Bedri Ozer
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Global Encoding for Abstractive Summarization [PDF]
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2018 في التلخيص التجريدي العصبي، غالبًا ما يعاني نموذج التسلسل إلى التسلسل التقليدي (seq2seq) من التكرار وعدم الأهمية الدلالية. لمعالجة المشكلة، نقترح إطارًا عالميًا للتشفير، يتحكم في تدفق المعلومات من جهاز التشفير إلى جهاز فك التشفير استنادًا إلى المعلومات العالمية لسياق المصدر.
Junyang Lin, Xu Sun, Shuming Ma, Qi Su
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PassSum: Leveraging paths of abstract syntax trees and self‐supervision for code summarization [PDF]
, 2023 Changan Niu +5 more
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Learning towards Abstractive Timeline Summarization [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Timeline summarization targets at concisely summarizing the evolution trajectory along the timeline and existing timeline summarization approaches are all based on extractive methods.In this paper, we propose the task of abstractive timeline summarization, which tends to concisely paraphrase the information in the time-stamped events.Unlike traditional
Xiuying Chen +5 more
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Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization [PDF]
, 2023 Yash Kumar Atri +2 more
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IEEE AccessIn the field of Natural Language Processing (NLP), the task of text summarization plays a vital role in understanding textual content and producing concise summaries.
Wajiha Fatima +7 more
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