Papers Abstractive Text Summarization
“Abstractive Text Summarization” 태그가 달린 논문 852편 · 필터 해제
SimCSum: Joint Learning of Simplification and Cross-lingual Summarization for Cross-lingual Science Journalism
Cross-lingual science journalism generates popular science stories of scientific articles different from the source language for a non-expert audience. Hence, a cross-lingual popular summary must contain the salient cont…
Abstractive Text SummarizationArticlesCross-Lingual Abstractive SummarizationCQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia
Debatepedia is a publicly available dataset consisting of arguments and counter-arguments on controversial topics that has been widely used for the single-document query-focused abstractive summarization task in recent y…
Abstractive Text SummarizationText GenerationComparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms
Large Language Models (LLMs) have gathered significant attention due to their impressive performance on a variety of tasks. ChatGPT, developed by OpenAI, is a recent addition to the family of language models and is being…
Abstractive Text Summarizationtext-classificationText ClassificationText GenerationChatGPT as a Factual Inconsistency Evaluator for Text Summarization
The performance of text summarization has been greatly boosted by pre-trained language models. A main concern of existing methods is that most generated summaries are not factually inconsistent with their source document…
Abstractive Text SummarizationNatural Language InferenceNatural Language UnderstandingQuestion Answering+2SASS: Data and Methods for Subject Aware Sentence Simplification
Sentence simplification tends to focus on the generic simplification of sentences by making them more readable and easier to understand. This paper provides a dataset aimed at training models that perform subject aware s…
Abstractive Text SummarizationData AugmentationSentenceSPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization
Neural abstractive summarization has been widely studied and achieved great success with large-scale corpora. However, the considerable cost of annotating data motivates the need for learning strategies under low-resourc…
Abstractive Text SummarizationFew-Shot LearningMeta-LearningTransfer LearningLay Text Summarisation Using Natural Language Processing: A Narrative Literature Review
Summarisation of research results in plain language is crucial for promoting public understanding of research findings. The use of Natural Language Processing to generate lay summaries has the potential to relieve resear…
Abstractive Text SummarizationArticlesFaithfulness-Aware Decoding Strategies for Abstractive Summarization
Despite significant progress in understanding and improving faithfulness in abstractive summarization, the question of how decoding strategies affect faithfulness is less studied. We present a systematic study of the eff…
Abstractive Text SummarizationAbstractive Text Summarization using Attentive GRU based Encoder-Decoder
In todays era huge volume of information exists everywhere. Therefore, it is very crucial to evaluate that information and extract useful, and often summarized, information out of it so that it may be used for relevant p…
Abstractive Text SummarizationDecoderText SummarizationAn Analysis of Abstractive Text Summarization Using Pre-trained Models
People nowadays use search engines like Google, Yahoo, and Bing to find information on the Internet. Due to explosion in data, it is helpful for users if they are provided relevant summaries of the search results rather …
Abstractive Text SummarizationText SummarizationSummaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
Good figure captions help paper readers understand complex scientific figures. Unfortunately, even published papers often have poorly written captions. Automatic caption generation could aid paper writers by providing go…
Abstractive Text SummarizationCaption GenerationText SummarizationExploring the Limits of ChatGPT for Query or Aspect-based Text Summarization
Text summarization has been a crucial problem in natural language processing (NLP) for several decades. It aims to condense lengthy documents into shorter versions while retaining the most critical information. Various m…
Abstractive Text SummarizationArticlesText SummarizationLearning with Rejection for Abstractive Text Summarization
State-of-the-art abstractive summarization systems frequently hallucinate content that is not supported by the source document, mainly due to noise in the training dataset. Existing methods opt to drop the noisy samples …
Abstractive Text SummarizationText SummarizationLeveraging Summary Guidance on Medical Report Summarization
This study presents three deidentified large medical text datasets, named DISCHARGE, ECHO and RADIOLOGY, which contain 50K, 16K and 378K pairs of report and summary that are derived from MIMIC-III, respectively. We imple…
16kAbstractive Text SummarizationDecoderLong Text and Multi-Table Summarization: Dataset and Method
Automatic document summarization aims to produce a concise summary covering the input document's salient information. Within a report document, the salient information can be scattered in the textual and non-textual cont…
Abstractive Text SummarizationDocument SummarizationInformativenessMultimodal Abstractive Text SummarizationCurriculum-guided Abstractive Summarization for Mental Health Online Posts
Automatically generating short summaries from users' online mental health posts could save counselors' reading time and reduce their fatigue so that they can provide timely responses to those seeking help for improving t…
Abstractive Text SummarizationExtreme SummarizationSentenceCurriculum-Guided Abstractive Summarization
Recent Transformer-based summarization models have provided a promising approach to abstractive summarization. They go beyond sentence selection and extractive strategies to deal with more complicated tasks such as novel…
Abstractive Text SummarizationDecoderExtreme SummarizationInformativeness+1HunSum-1: an Abstractive Summarization Dataset for Hungarian
We introduce HunSum-1: a dataset for Hungarian abstractive summarization, consisting of 1.14M news articles. The dataset is built by collecting, cleaning and deduplicating data from 9 major Hungarian news sites through C…
Abstractive Text SummarizationArticlesTransformer Based Implementation for Automatic Book Summarization
Document Summarization is the procedure of generating a meaningful and concise summary of a given document with the inclusion of relevant and topic-important points. There are two approaches: one is picking up the most r…
Abstract generationAbstractive Text SummarizationBook summarizationDocument Summarization+1On the State of German (Abstractive) Text Summarization
With recent advancements in the area of Natural Language Processing, the focus is slowly shifting from a purely English-centric view towards more language-specific solutions, including German. Especially practical for bu…
Abstractive Text SummarizationAttributeExtractive SummarizationText Summarization