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[PDF] Top 20 Summarization by Analogy: An Example based Approach for News Articles

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Summarization by Analogy: An Example based Approach for News Articles

Summarization by Analogy: An Example based Approach for News Articles

... In summarization, a human being also summa- rizes with his own knowledge and ...a summarization method which is based on analogy, example-based summa- ...The ... See full document

6

Review on Query Focused Summarization using TF-IDF, K-Mean Clustering and HMM

Review on Query Focused Summarization using TF-IDF, K-Mean Clustering and HMM

... query-focused summarization, the importance of each sentence will be determined by a combination of two factors: how relevant is that sentence to the user question and how important is the sentence in the context ... See full document

6

Towards Multi Document Summarization of Scientific Articles:Making Interesting Comparisons with SciSumm

Towards Multi Document Summarization of Scientific Articles:Making Interesting Comparisons with SciSumm

... multi-document summarization has been extractive, and in our observation, scientific articles contain the type of information that we would want in a sum- mary, we follow this ...tion based ... See full document

8

Content based Caption Generation for Images Embedded in News Articles

Content based Caption Generation for Images Embedded in News Articles

... in news document, on other hand NER find out name entities like name of person, location, ...in news article, caption generated from it will explain whole news and fit well to an ...text ... See full document

9

From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles

From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles

... concrete example with the headline “Small Meteorite Hits Managua” in its article body mentions “the Nicaraguan capital” but not “Managua” and “a chunk of an Earth-passing asteroid” instead of “small ...the ... See full document

6

A Low Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

A Low Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

... For example, the seminal study by Kupiec et ...combining news articles and ...poral summarization. In recent years, ranking and graph-based methods (Radev et ...timeline ... See full document

11

An Effective Approach for News Article Summarization

An Effective Approach for News Article Summarization

... and summarization that help in understanding the ...is news. News websites are daily overwhelmed with plenty of news ...effective approach for single document news article ... See full document

6

An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles

An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles

... traditional news media but also on social media (Zhou et al., 2015). For example, Twit- ter, one of the most widely adopted social medi- a platforms, appears to cover nearly all newswire events (Petrovic et ... See full document

6

Multi Classification and Automatic Text Summarization of Kannada News Articles

Multi Classification and Automatic Text Summarization of Kannada News Articles

... the news articles are classified as sports, politics, or ...used. Based on the popular Bayes probability theorem, this is a supervised probabilistic approach, in which, the idea is ... See full document

6

Survey on Information Extraction and Summarization of Multiple News Articles

Survey on Information Extraction and Summarization of Multiple News Articles

... An example IE system where news articles are taken as input and information is extracted on certain events related to a specific company ...For example, once user will give the query in the ... See full document

7

Revisiting Summarization Evaluation for Scientific Articles

Revisiting Summarization Evaluation for Scientific Articles

... text summarization approaches have been mostly based on metrics that measure similarities of system generated summaries with a set of human written gold-standard ...in summarization evaluation has ... See full document

8

Graph based KNN for Optimizing Index of News Articles

Graph based KNN for Optimizing Index of News Articles

... The above previous works proposed the string kernel as the kernel function of raw texts in the SVM, and tables and string vectors as representations of texts, in order to solve the problems. Because the string kernel ... See full document

9

SumeCzech: Large Czech News Based Summarization Dataset

SumeCzech: Large Czech News Based Summarization Dataset

... In the training phase, the vectors are labeled by binary val- ues. First, the sentences are sorted based on their similarity to the sentences from the gold abstract (or headline, respec- tively). Then, top ... See full document

8

Performance Evaluation of Software Effort Estimation using Fuzzy Analogy based on Complexity

Performance Evaluation of Software Effort Estimation using Fuzzy Analogy based on Complexity

... Software cost estimation process is a set of procedures that an organization utilizes to arrive at a software cost estimate. Organizations have different software processes depending on the type of software that have ... See full document

6

Authentic News Summarization

Authentic News Summarization

... fake news emerges through improper knowledge of subject ...the news with some ground knowledge of truth whereas this system was designed to match the most relevant news with the prescribed ... See full document

5

Resolving syntactic ambiguities with lexico semantic patterns: an analogy based approach

Resolving syntactic ambiguities with lexico semantic patterns: an analogy based approach

... Resolving syntactic ambiguities with lexico semantic patterns an analogy based approach Resolving syntactic ambiguities with lexico semantic patterns an analogy based approach(*) S i m o n e t t a M o[.] ... See full document

6

Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts

Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts

... ideas based on their occurrence in a cor- pus of documents, independent of how these ideas are ...time—our approach reveals a number of different ways in which ideas can cooper- ate and ...our ... See full document

11

Abstractive News Summarization based on Event Semantic Link Network

Abstractive News Summarization based on Event Semantic Link Network

... This paper studies the abstractive multi-document summarization for event-oriented news texts through event information extraction and abstract representation. Fine-grained event mentions and semantic ... See full document

11

PERFORMANCE OF SEPARATED RANDOM USER SCHEDULING (SRUS) AND JOUNT USER SCHEDULING 
(JUS) IN THE LONG   TERM EVOLUTION   ADVANCED

PERFORMANCE OF SEPARATED RANDOM USER SCHEDULING (SRUS) AND JOUNT USER SCHEDULING (JUS) IN THE LONG TERM EVOLUTION ADVANCED

... abstractive approach proposed by [18] revise lead sentences in a news ...This approach does not use the co-reference relation of noun phrases ...this approach, first the same chunks (also ... See full document

9

“Making the News”: Identifying Noteworthy Events in News Articles

“Making the News”: Identifying Noteworthy Events in News Articles

... a news archive that first reports it (anchor ...for. News-pegs can help in segmenting a doc- ument into events which are being reported for the first time, and events which convey background in- ... See full document

7

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