[PDF] Top 20 A Novel Feature based Bayesian Model for Query Focused Multi document Summarization
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A Novel Feature based Bayesian Model for Query Focused Multi document Summarization
... prove summarization performance by making full use of both useful text features and the latent seman- tic structures from by LDA topic ...topic model called Hybh- sum based on LDA for topic discovery ... See full document
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On the Effectiveness of using Sentence Compression Models for Query Focused Multi Document Summarization
... of query-focused multi-document ...overall summarization performance in presence of the semantic redundancy constraint in the summarization model and this can be achieved ... See full document
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A Sentence Compression Based Framework to Query Focused Multi Document Summarization
... on query-focused multi- document summarization (MDS) largely relies on extractive approaches, where systems usually take as input a set of documents and select the top relevant ... See full document
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Topic Focused Multi Document Summarization Using an Approximate Oracle Score
... score based upon the simple model of the probability that a human will choose to include a term in a ...task-based summarization, extract summaries score as well as human-generated abstracts ... See full document
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Query-Focused Multi-Document Summarization Using Co-Training Based Semi-Supervised Learning
... a novel approach to query-focused multi-document ...among query relevance, content salience and information diversity, the approach first makes use of both the content ... See full document
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Query focused Multi-Document Summarization in Disaster Management domain using ontology
... different multi document summarization problems in disaster ...generic summarization, we are using different vector space models to represent sentences in the document collection by ... See full document
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Query focused Multi Document Summarization: Combining a Topic Model with Graph based Semi supervised Learning
... our summarization approach is to discover the latent topics and cluster sentences according to the ...(4) Document-specific words that are local to a single document and do not appear across ... See full document
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SentTopic MultiRank: a Novel Ranking Model for Multi Document Summarization
... a novel model named SentTopic-MultiRank based on MultiRank algorithm for multi-document ...and query-biased multi-document ...in query-sensitive task, some ... See full document
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An Exploration of Document Impact on Graph Based Multi Document Summarization
... sentences based on sentence-level and inter-sentence features, in- cluding cluster centroids, position, TFIDF, ...on multi- document summarization at ISI based on the sin- ... See full document
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Query Chain Focused Summarization
... Update summarization is a form of multi- document summarization where a document set must be summarized in the context of other documents assumed to be ...update summarization ... See full document
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Bayesian Query Focused Summarization
... system based on B AYE S UM ...(no query) multidocument sum- marization. Fortunately, not having a query is not a hindrance to our ...in document collections, we applied a greedy selection ... See full document
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RelationListwise for Query Focused Multi Document Summarization
... a query and choosing the most relevant sentences to produce summary until length limit is ...considering query-biased relevance as well as information ...their query-biased diversity scores acquired ... See full document
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A Query Focused Multi Document Automatic Summarization
... Graph based methods have been proposed for generating query independent ...graph-connectivity model to identify salient ...correlated summarization for multiple news ...single document ... See full document
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Fear the REAPER: A System for Automatic Multi Document Summarization with Reinforcement Learning
... and feature sets for per- forming multi-document summarization using reinforcement learning with a high focus on ...for summarization. Learners are trained to summarize document ... See full document
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Towards Multi Document Summarization of Scientific Articles:Making Interesting Comparisons with SciSumm
... tences ∼ 200 words) for ten different randomly se- lected co-citations. The students were given guide- lines to prepare summaries based on the design goals of the SciSumm system, but not any of its technical ... See full document
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Survey Paper on Text Summarization Methods
... Abstractive Summarization works by generating a sentence from data having semantic representation and after that generate a summary by using natural language processing (NLP) ... See full document
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Using Syntactic and Shallow Semantic Kernels to Improve Multi Modality Manifold Ranking for Topic Focused Multi Document Summarization
... manifold-ranking based methods are applied successfully to topic- focused multi-document ...graph- based summarization method that makes uni- form use of the sentence-to-sentence ... See full document
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Query Snowball: A Co occurrence based Approach to Multi document Summarization for Question Answering
... Another challenge in sentence selection for query-oriented multi-document summarization is how to avoid redundancy so that diverse pieces of information (i.e. nuggets (Voorhees, 2003)) can be ... See full document
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Multi Answer Focused Multi Document Summarization Using a Question Answering Engine
... COLING04 mori 7 dvi ????????? ??? ??? ? ??????? ??? ?? ??????????? ? ????? ? ?? ??? ????? ???? ????? ????????? ?? ?? ??????? ? ???? ?? ???????? ????? ???????? ?? ? ? ???? ????? ??? ??? ????? ? ???????[.] ... See full document
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Query Focused Opinion Summarization for User Generated Content
... Table 5: Results on TAC’08 dataset. [Left] Our system has significant better ROUGE scores than all the other systems except our ranker (paired-t test, p < 0.05). We also achieve the best JS divergence. [Right] Human ... See full document
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