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[PDF] Top 20 Information Fusion in the Context of Multi Document Summarization

Has 10000 "Information Fusion in the Context of Multi Document Summarization" found on our website. Below are the top 20 most common "Information Fusion in the Context of Multi Document Summarization".

Information Fusion in the Context of Multi Document Summarization

Information Fusion in the Context of Multi Document Summarization

... In addition, if possible, when mapping input phrases to a SURGE syntactic input, the sentence planner tries to determine the semantic type of circumstantial by looking up the preposition[r] ... See full document

8

Using Context Inference to Improve Sentence Ordering for Multi document Summarization

Using Context Inference to Improve Sentence Ordering for Multi document Summarization

... source document for multi-document summarization is not an information ...first document describes its background and ...Each document has its own key point, but they have ... See full document

7

Entity driven Rewrite for Multi document Summarization

Entity driven Rewrite for Multi document Summarization

... Maximum noun phrases are the unit on which NP rewrite operates. They are defined in a depen- dency parse tree as the subtree that has as a root a noun such that there is no other noun on the path between it and the root ... See full document

8

A Subjective Logic Framework for Multi Document Summarization

A Subjective Logic Framework for Multi Document Summarization

... a document can be interpreted in different fashions by different people, especially in the way they understand and interpret the context (Pardo et ...subjective information which is not completely ... See full document

12

Multi Document Biography Summarization

Multi Document Biography Summarization

... text summarization is one form of information ...a document that is in size a small percentage of the original and yet is just as ...the context of Information Retrieval ...single ... See full document

8

On Strategies of Human Multi Document Summarization

On Strategies of Human Multi Document Summarization

... In this context, this work is focused on the investigation of HMDS content selection strategies. Particularly, for a corpus of news texts, we study some superficial and deep sentence features that may be useful ... See full document

10

Hierarchical Summarization: Scaling Up Multi Document Summarization

Hierarchical Summarization: Scaling Up Multi Document Summarization

... Hierarchical summarization has two important strengths in the context of large-scale summariza- ...the information presented at the start is small and grows only as the user directs it, so as not to ... See full document

11

Information Retrieval and Context Based Document Summarization Using Vector Space Model

Information Retrieval and Context Based Document Summarization Using Vector Space Model

... Extractive summarization and abstractive ...Extractive summarization usually ranks the sentences in the documents according to their scores calculated by a set of predefined features, such as term frequency ... See full document

8

Subtopic driven Multi Document Summarization

Subtopic driven Multi Document Summarization

... a document set, the documents may cover various subtopics and the same subtopic can be across several ...given document set can be presented from document view and subtopic view, in paral- ... See full document

10

Towards Coherent Multi Document Summarization

Towards Coherent Multi Document Summarization

... local search to reach an approximation of the opti- mum. G-F LOW employs stochastic hill climbing with random restarts as the base search algorithm. At each step, the search either adds a sentence, re- moves a sentence, ... See full document

11

A Generative Approach for Multi Document Summarization using Semantic Discursive information

A Generative Approach for Multi Document Summarization using Semantic Discursive information

... the context of MDS, we consider that “noise” could be elements that emerge from multi-document phenomena factors such as redundancy, complementarity and ...complementary information can be ... See full document

5

A Study on Position Information in Document Summarization

A Study on Position Information in Document Summarization

... position information is indeed very effective in generic summarization so that all the systems with position features performed better than the system None which does not use any position ... See full document

9

Using syntactic information to extract relevant terms for multi document summarization

Using syntactic information to extract relevant terms for multi document summarization

... Figure 3 shows that the probability of finding a key concept in the NP modifiers is always higher than in the head (except for topic TT3, where it is equal). This is not intuitive a priori; an examination of the data ... See full document

7

Content Selection in Multi-Document Summarization

Content Selection in Multi-Document Summarization

... DPP: Determinantal point processes (DPPs) (Kulesza and Taskar, 2012) are prob- abilistic models of sets which balance the selection of important information and diverse groups of sentences within a given length. ... See full document

257

From Single to Multi document Summarization

From Single to Multi document Summarization

... 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 coherent ... See full document

8

A Multi Document Multi Lingual Automatic Summarization System

A Multi Document Multi Lingual Automatic Summarization System

... of multi-document text summarization, a collection of input documents about a particular subject is received from the user and a coherent summary without redundant infor- mation is ...redundant ... See full document

6

Context Based Similarity Analysis for Document Summarization

Context Based Similarity Analysis for Document Summarization

... the information extraction algorithm is designed, making the sharp decisions is rather than producing ranked lists of ...The document summarization is making the large document into small, ... See full document

7

Multi Document Summarization of Evaluative Text

Multi Document Summarization of Evaluative Text

... the information from the doc- uments, then process such information to identify overlaps and inconsistencies between the different sources and finally produce a summary that points out and explain those ... See full document

8

Hierarchical Transformers for Multi Document Summarization

Hierarchical Transformers for Multi Document Summarization

... process multi- ple input documents and distill abstractive sum- ...share information across multiple documents as opposed to simply concatenating text spans and feeding them as a flat sequence to the ... See full document

12

Multilingual Multi Document Summarization with POLY2

Multilingual Multi Document Summarization with POLY2

... this information is readily available through lp-solve API, the task requires sorting of n real numbers, where n is the number of sentences in all of the documents ... See full document

5

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