[PDF] Top 20 Detection of Topic and its Extrinsic Evaluation Through Multi Document Summarization
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Detection of Topic and its Extrinsic Evaluation Through Multi Document Summarization
... of topic bursts, topic drift or detection of topic is a practical problem attract- ing more and more attention (Allan et ...burst detection al- gorithm, co-occurrences of words, and ... See full document
6
Automatic Text Document Summarization
... single-document summarization - taking into account some of the major issues arising in multi-document summarization: (i) the need to carefully eliminate redundant information from ... See full document
7
Query focused Multi Document Summarization: Combining a Topic Model with Graph based Semi supervised Learning
... LDA topic models (Blei et al, 2008) in summarization tasks for their clear and rigorous probabilistic topic interpretations (Daume and Marcu, 2006; Titov and McDonald, 2008; Haghighi and Vanderwende, ... See full document
11
Using Syntactic and Shallow Semantic Kernels to Improve Multi Modality Manifold Ranking for Topic Focused Multi Document Summarization
... and multi- document summarization (MDS) ...2007 Document Un- derstanding Conferences (DUC)) have tasked sys- tems with returning paragraph-length answers to complex questions that are ... See full document
9
Topic-based Multi-document Summarization using Differential Evolution forCombinatorial Optimization of Sentences
... a multi-document summarization method using differential evolution for combinatorial optimization of important sen- tences in a generated summary, aiming to realize the efficiency of computation for ... See full document
8
Summarization of Multi Document Topic Hierarchies using Submodular Mixtures
... Every group of articles on the Wikipedia disam- biguation page is assigned a name by the editors. Unfortunately, these names may not correspond to the Wikipedia category (topic) names. For exam- ple, one of the ... See full document
11
Exploring Content Models for Multi Document Summarization
... for multi-document summarization and ar- gue that LDA-style probabilistic topic models (Blei et ...user evaluation (see sec- tion ...LDA topic model (Blei et ... See full document
9
Topic Focused Multi Document Summarization Using an Approximate Oracle Score
... a multi-document summary given a collec- tion of ...of multi-document summa- rization are still largely extractive, in this paper, we explore just how well an ex- tractive method can ...2005 ... See full document
8
Hierarchical Transformers for Multi Document Summarization
... second evaluation study assessed the over- all quality of the summaries by asking partici- pants to rank them taking into account the fol- lowing criteria: Informativeness (does the sum- mary convey important ... See full document
12
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 ...hierarchical topic model called Hybh- sum based on LDA for ... See full document
10
Topic-Sensitive Multi-document Summarization Algorithm
... generative topic model PCCLDA(partial comparative cross collections LDA) for multi-collections in ...combined topic-distribution of each sentence with topic-importance of the corpus together ... See full document
16
From Single to Multi document Summarization
... the Document Understanding Conference (DUC) sponsored by the National Institute of Standards and Technology (NIST) started in 2001 in the United ...Text Summarization Challenge (TSC) task under the NTCIR ... See full document
8
Sentence Position revisited: A robust light weight Update Summarization ‘baseline’ Algorithm
... for summarization based on the SPP in Section 3, and show evaluation ...and evaluation for Multi-Document Sum- marization and finally in Section 5, we discuss the need for an older ... See full document
7
Hierarchical Summarization: Scaling Up Multi Document Summarization
... We evaluated the questions on ten news topics, representing a range of tasks: (1) Pope John Paul II’s death and the 2005 Papal Conclave, (2) Bush v. Gore, (3) the Tulip Revolution, (4) Daniel Pearl’s kidnapping, (5) the ... See full document
11
Multi Document Biography Summarization
... In this paper, we described a system that uses IR and text categorization techniques to provide summary-length answers to biographical questions. The core problem lies in extracting biography- related information from ... See full document
8
Content Selection in Multi-Document Summarization
... extractive summarization systems, which directly selects sentences from the original ...generic summarization was addressed in a shared ...for evaluation in generic summarization (Takamura and ... See full document
257
Subtopic driven Multi Document Summarization
... However, the graph-based models do not per- form well when the sentence graph is not well connected. Wan and Yang (2008) claim that the document set is usually composed of a few themes, which are represented by ... See full document
10
Multi Document Summarization of Evaluative Text
... an evaluation of an entity as ei- ther positive or ...the summarization of travel logs, and non-commercial applications, such as the summa- rization of candidate ... See full document
8
On Strategies of Human Multi Document Summarization
... The evaluation of the properties related to quality was performed by 10 computational linguists. For each automatic summary, the judges scored each of the 5 textual properties through an online form. For ... See full document
10
Re evaluating the Role of Bleu in Machine Translation Research
... Table 4 gives a comparison between the output of the system that was ranked 2nd by Bleu 3 (top) and of the entry that was ranked 6th in Bleu but 1st in the human evaluation (bottom). The exam- ple is interesting ... See full document
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