Single Document Summarization
Single Document Summarization as a Tree Knapsack Problem
... This paper proposed rules for transforming an RST- DT to a DEP-DT to obtain the parent-child relation- ships between EDUs. We treated a single document summarization method as a Tree Knapsack ...
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Learning Based Single Document Summarization with Compression and Anaphoricity Constraints
... We present a discriminative model for single-document summarization that integrally combines compression and anaphoricity constraints. Our model selects textual units to include in the summary based ...
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Dependency based Discourse Parser for Single Document Summarization
... human-annotated reference summary. The aver- age length of the reference summaries corresponds to about 10% of the words in the source document. This is also the commonly used evaluation con- dition for ...
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Discourse-Aware Hierarchical Attention Network for Extractive Single-Document Summarization
... in document summariza- tion (Cheng and Lapata, 2016; Nallapati et ...source document just as a sequence of sen- tences, and ignore the discourse tree structure in- herent in the ...source document as ...
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Enhancing Single Document Summarization by Combining RankNet and Third Party Sources
... automatic single-document summarization based on neural networks, called ...for summarization and third-party datasets for features, using Wikipedia and news query ...
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Multilingual Single Document Summarization with MUSE
... (6) document metadata construction, including such information like frequency (tf and tf-idf) for each unique term, its location inside the document, ...the document graphs, and the metadata stored ...
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The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization
... The widely used ROUGE (Lin, 2004) automatic evaluation for summarization relies on token over- lap between reference and system summary. This limited view of meaning has motivated numer- ous studies on ...
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Enhancements to Graph Based Methods for Single Document Summarization
... Text summarization has been an important and challenging area studied almost over the past 5 decades [10, 12] and has continued to be a steady subject of ...used summarization approaches can be divided into ...
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Comparing PMI-based to Cluster-based Arabic Single Document Summarization Approaches
... An abstractive summarization method constructs new sentences based on understanding the original. A summary can be generic or user-focused. A generic summary tackles all themes detected in the original ...
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Single Document Summarization as Tree Induction
... duces document-level dependency trees while pre- dicting the output summary, and brings more inter- pretability in the summarization process by help- ing explain how document content contributes to ...
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Single Document Summarization based on Nested Tree Structure
... a document to a summarization task (Marcu, 1998; Daum´e III and Marcu, 2002; Hirao et ...for single document summa- rization (Hirao et ...the summarization problem as a tree knapsack ...
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A Language Independent Algorithm for Single and Multiple Document Summarization
... extractive summarization are typi- cally based on techniques for sentence extraction, and attempt to identify the set of sentences that are most important for the overall understanding of a given ...extractive ...
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Adapting the Neural Encoder Decoder Framework from Single to Multi Document Summarization
... summarize single documents, but its success can in part be attributed to the avail- ability of large parallel data automatically ac- quired from the ...multi-document summarization are scarce and ...
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Multi Document Biography Summarization
... for single document summarization can be determined from the ordering of sentences in the input article, sentences extracted by a MDS system may be from different articles and thus need a strategy on ...
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Automatic Text Document Summarization
... Text summarization techniques can also be classified on the basis of volume of text documents available in the text ...database. Single-document summarization can only distill one ...
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Collaborative Summarization: When Collaborative Filtering Meets Document Summarization
... that single document summarization can be significantly improved by harvesting human computing power made available by the rapid out-growth of internet ...
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From Single to Multi document Summarization
... for single- document summarization might contain information collected across an extended time frame and from multiple sources, the author at least would synchronize them and present them in a ...
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Detecting (Un)Important Content for Single Document News Summarization
... of document- summary pairs. When used for single- document summarization, our approach, combined with the “beginning of docu- ment” heuristic, outperforms a state-of- the-art summarizer and ...
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Analyzing Pre processing Settings for Urdu Single document Extractive Summarization
... for single- document summarization 2 ...abstractive single-document summaries, (3) fifty part-of-speech tagged articles, 4) fifty morphologically analyzed articles, (5) fifty lemmatized ...
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Hierarchical Transformers for Multi Document Summarization
... on single-document summarization (See et ...multi-document summarization is less straightfor- ...on single-document summarization data and fine- tuned on DUC ...
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