Abstractive summarization
From Extractive to Abstractive Summarization: A Journey
... Table 2: Effect of ’Informed’ Fusion We generate summaries using all the possible 6 combinations of two approaches and three sen- tence similarity metrics. We then combine the summaries resulting from a particular ...
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An Entity Driven Framework for Abstractive Summarization
... Role of Entities and Coherence in Summariza- tion. Entities in a text carry useful contextual information (Nenkova, 2008) and therefore play an important role in multi-document summariza- tion (Li et al., 2006) and event ...
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Abstractive Summarization: A Survey of the State of the Art
... to abstractive summarization, informa- tion extraction, content selection, and surface realization are all challenging ...to abstractive summarization, learning how to abstract from the source ...
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Scoring Sentence Singletons and Pairs for Abstractive Summarization
... Recent approaches emphasize the importance of separating content selection from summary gener- ation for abstractive summarization. Studies ex- ploit extractive methods to identify content words and ...
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Abstractive Summarization of Product Reviews Using Discourse Structure
... two abstractive systems are preferred over the extractive ones in both ...other abstractive and extractive ...an abstractive system (e.g., LR vs Our System). Abstractive Systems: the raters ...
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Entity Commonsense Representation for Neural Abstractive Summarization
... Neural abstractive summarization models have also been explored to summarize longer docu- ...document summarization such as saliency, fluency and novelty (Tan et ...
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Concept Pointer Network for Abstractive Summarization
... quality abstractive summary should not only copy salient source texts as summaries but should also tend to generate new conceptual words to express concrete ...generates abstractive summaries with ...
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Unsupervised Aspect Based Multi Document Abstractive Summarization
... User-generated reviews of products or services provide valuable information to customers. However, it is often impossible to read each of the potentially thousands of reviews: it would therefore save valuable time to ...
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Analyzing Sentence Fusion in Abstractive Summarization
... In this paper we present an investigation into sen- tence fusion for abstractive summarization. Sev- eral state-of-the-art systems are evaluated, and we find that many of the summary outputs generate false ...
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SSAS: Semantic Similarity for Abstractive Summarization
... existing summarization metrics are well-suited for extractive summaries, and are di- rectly or indirectly based upon word or syntactic substructure overlap (Lin, ...of abstractive summarization needs ...
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Frustratingly Easy Model Ensemble for Abstractive Summarization
... dataset has been extensively used in recent studies on abstractive summarization (Takase et al., 2016; Chopra et al., 2016; Kiyono et al., 2017; Zhou et al., 2017; Suzuki and Nagata, 2017; Cao et al., ...
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Automatic abstractive summarization a systematic literature review
... in abstractive summarization as shown in tableIII but we realized that the dominant one is the graph technique which ensures high ratio of coherency for the produced ...
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Multimodal Abstractive Summarization for How2 Videos
... study abstractive summariza- tion for open-domain ...news summarization, the goal is less to “compress” text information but rather to provide a fluent textual summary of infor- mation that has been ...
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Toward Abstractive Summarization Using Semantic Representations
... Abstractive summarization is an elusive technolog- ical capability in which textual summaries of con- tent are generated de ...compressive summarization techniques simply do not ...stractive ...
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Bottom Up Abstractive Summarization
... Neural network-based methods for abstractive summarization produce outputs that are more fluent than other techniques, but which can be poor at content selection. This work proposes a simple technique for ...
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Towards Improving Abstractive Summarization via Entailment Generation
... Abstractive summarization, the task of rewriting a document into a short summary is a significantly more challenging (and natural) task than extrac- tive summarization, which only involves choos- ing ...
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Framework for Abstractive Summarization using Text to Text Generation
... for abstractive summarization, which aims at se- lecting the content of a summary not from sen- tences, but from an abstract representation of the source ...ous abstractive summarization ...
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Global Encoding for Abstractive Summarization
... for abstractive summarization can suffer from repetition and semantic irrelevance, causing grammatical errors and insufficient reflection of the main idea of the source ...
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Abstractive Summarization of Line Graphs from Popular Media
... Section 3 presents our methodology for hypothe- sizing a line graph’s intended message or discourse goal. It starts with an XML representation of the graphic that specifies the x-y coordinates of the sam- pled pixels ...
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Unsupervised Semantic Abstractive Summarization
... In this work, we propose an alternative method to use AMRs for abstractive summarization. Our approach is inspired by the way humans summa- rize any piece of text. User studies Chin et al. (2009); Kang et ...
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