[PDF] Top 20 Single Document Summarization based on Nested Tree Structure
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Single Document Summarization based on Nested Tree Structure
... source document included in the re- sulting summary can be an indicator to measure the fragmentation of ...source document that each method used to generate a summary 5 ... See full document
6
Hybrid differential evolution based automatic single document text summarization
... the summarization techniques can be classified into three approaches: the surface, entity, and discourse (Mani and Maybury, 1999, Saggion and Poibeau, ...a document to be included in the ...global ... See full document
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Learning Based Single Document Summarization with Compression and Anaphoricity Constraints
... To increase the expressive capacity of our model we allow more aggressive compression of individual sentences by combining two different formalisms—one syntactic and the other discur- sive. Additionally, we incorporate a ... See full document
11
Dependency based Discourse Parser for Single Document Summarization
... discourse- based summarization methods have been devel- oped, such as (Marcu, 1998; Daum´e III and Marcu, 2002; Hirao et ...the summarization benchmark data of the RST- discourse Treebank (Carlson et ... See full document
6
Probabilistic Text Structuring: Experiments with Sentence Ordering
... are single- and multidocument summarization as well as question ...in tree-like structures or communicative goals as is often the case in concept-to-text ...in single document ... See full document
8
Abstractive Multi document Summarization by Partial Tree Extraction, Recombination and Linearization
... partial tree structures are extracted from the set of dependency trees and dif- ferent subsets of maximally relevant partial depen- dency structures are ...dependency tree of a valid sentence is estimated ... See full document
10
Unsupervised Neural Single Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking
... tive summarization of a single product review without ...discourse tree, in which the summary is the root, and the child sen- tences explain their parent in ...discourse tree with- out an ... See full document
11
Inducing Document Structure for Aspect based Summarization
... aspect structure, by (a) evaluating our mod- els on document segmentation (Section ...of structure for sum- marizing long natural documents (Section ...the single-mechanism ... See full document
11
Discourse indicators for content selection in summarization
... on summarization, graph models of text have been proposed that do not rely on dis- ...graph structure (Erkan and Radev, 2004; Mihalcea and Tarau, ...graph based on lexi- cal similarity ...evaluating ... See full document
10
Single Document Summarization as Tree Induction
... As can be seen in Table 3, the dependency struc- tures induced by S UMO are simpler compared to those obtained from the discourse parser. Our trees are generally shallower, almost half of them are projective. We also ... See full document
11
Single Document Summarization as a Tree Knapsack Problem
... a single document sum- marization method based on the trimming of a dis- course tree based on the Tree Knapsack ...discourse tree explicitly represents parent-child re- ... See full document
6
Multilingual Single Document Summarization with MUSE
... are based on various text representation models and are language-independent since they do not rely on any language-specific ...categories— structure-, vector-, and graph-based—according to their ... See full document
5
From Single to Multi document Summarization
... (7) According to Table 1, NeATS performed better on longer summaries (400 and 200 words) based on weighted retention than it did on shorter ones. This is the result of the sentence extraction-based nature ... See full document
8
An Exploration of Document Impact on Graph Based Multi Document Summarization
... multi-document summarization by making use of the “voting” or “recommendations” between sentences in the documents (Erkan and Radev, 2004; Mihalcea and Tarau, 2005; Wan and Yang, ...the ... See full document
8
Comparing PMI-based to Cluster-based Arabic Single Document Summarization Approaches
... abstractive summarization method constructs new sentences based on understanding the ...original document. A user-focused highlights specific themes based on a query-oriented ...original ... See full document
5
Information Retrieval and Context Based Document Summarization Using Vector Space Model
... the single form; [C] (VC)m [V] Where the superscript m denotes m repetitions of VC and the square brackets [] denote the optional presence of their ...a single suffix and then removing suffixes provided the ... See full document
8
Text Summarization using Centrality Concept
... a single document / multi- documents and producing a new short version for a particular task and user without losing any important contents or overall meaning from the original ...text summarization ... See full document
8
Improving Update Summarization via Supervised ILP and Sentence Reranking
... update summarization task, and make improvement from two aspects, with the goal to more discriminatively represent both the salience and novelty of words and ... See full document
6
Detecting (Un)Important Content for Single Document News Summarization
... The annotators created two extractive summaries for two summary lengths (200 and 400 words), for a total of four extracts per document set. In this work, a sentence from the original article that ap- pears in at ... See full document
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