[PDF] Top 20 Phrase based Compressive Cross Language Summarization
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Phrase based Compressive Cross Language Summarization
... of compressive summariza- ...document summarization tasks. Almeida and Martins (2013) form the compressive summariza- tion problem in a more efficient dual decomposi- tion ...extractive ... See full document
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Product Review Summarization by Exploiting Phrase Properties
... Our summarization algorithm takes a set of re- views of one product and a set of aspects as input and generates a summary based on the properties of the phrases extracted from the input ...bigram ... See full document
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Using Bilingual Information for Cross Language Document Summarization
... document summarization, various features have been investigated for ranking sentences in a document, including term frequency, sentence position, cue words, stigma words, and topic signature (Luhn 1969; Lin and ... See full document
10
Finding Good Enough: A Task Based Evaluation of Query Biased Summarization for Cross Language Information Retrieval
... a summarization strategy would not be particu- larly helpful in our relevance prediction task be- cause the words in the text could be mixed-up, or sentences could be nonsensical, resulting in poor ... See full document
13
Improving Phrase Based SMT Using Cross Granularity Embedding Similarity
... 600,000 parallel sentences. We used 1000 and 2000 sentences for testing and tuning, respectively and the rest of the corpus for training. From the Czech dataset we selected the same number of sentences for training, ... See full document
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Cross Task Knowledge Transfer for Query Based Text Summarization
... We processed the CNN/DM 2 and Debatepedia 3 datasets using the respective official Python scripts to yield the corpora with passages, queries and summaries tailored to the queries (Table 4). CNN/DM is much larger in ... See full document
6
Translation Model Based Cross Lingual Language Model Adaptation: from Word Models to Phrase Models
... TM based cross- lingual data selection model for LM adaptation in SMT, from word models to phrase models, and aims to find the LM training corpus which are similar to the translation task at ...ses, ... See full document
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Learning Continuous Phrase Representations for Translation Modeling
... novel phrase translation model for SMT, where joint represen- tations are exploited of a phrase in the source lan- guage and of its translation in the target language, and where the translation score ... See full document
11
Boosting Cross Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings
... a phrase table that encodes word- based information that is orthogonal and comple- mentary to the information in standard translation- based CLIR ...boosting phrase table, compared to standard ... See full document
12
Priberam Compressive Summarization Corpus: A New Multi Document Summarization Corpus for European Portuguese
... Priberam Compressive Summarization Corpus, a new multi-document summarization corpus for European ...the summarization corpora for English in recent DUC and TAC ...the language, one ... See full document
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Key Phrase Extraction Based Multi-Document Summarization
... document summarization, the more documents may contain the same sentences which talking about more or less ...Each cross-sentence Informational Subsumption (CSIS) : - It refine that some sentences repeat ... See full document
6
Cross Language Document Summarization Based on Machine Translation Quality Prediction
... for cross-language docu- ment summarization is to translate the summary from the source language to the target language by using machine translation ... See full document
10
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization
... pression based on distilled word salience, and the fine-grained compression via phrase-based unified optimization framework can generate more con- cise and salient ... See full document
10
Prediction of compressive strength of cross-laminated timber panel
... Abstract Compressive strength of cross-laminated tim- ber (CLT) is one of the important mechanical properties which should be considered especially in design of mid- rise CLT building because it works to ... See full document
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Comparative Analysis of Optimization Algorithms for Sentiment Analysis Anirudh Ganesh, Manthan Gandhi, Balasubramanian V Abstract PDF IJIRMET160206006
... The dataset consists of 50,000 reviews from the Internet Movie Database (IMDB), with a maximum of 30 reviews per movie [2]. The dataset also comprises of a near even distribution of positive and negative reviews, i.e. ... See full document
5
Abstractive Multi Document Summarization via Phrase Selection and Merging
... similarity based method pro- duces automated scores that correlate well with manual pyramid scores, yielding more accurate pyramid scores than string matching based auto- mated methods (Harnly et ... See full document
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Multi-Document Summarization using Automatic Key-Phrase Extraction
... Currently, most successful multi-document summarization systems follow the extractive summarization framework. These systems first rank all the sentences in the original document set and then select the ... See full document
8
A Study of Natural Language Processing Based Algorithms for Text Summarization
... methods based on title and location features are used for calculating the importance of those ...unsupervised summarization method that creates the summary by clustering and extracting sentences from the ... See full document
5
DERTERMINER PHRASE IN THE IGBO LANGUAGE
... the language, it is expedient to note that the derivation of the vowel morpheme that functions as a genitive case-marker has been a subject of controversy among scholars working on Yoruba ... See full document
14
Semantic based Text Summarization using Universal Networking Language
... Text Summarization is extracting the important information from the document by leaving out the irrelevant information, and to reduce the details and collects them in a compressed ...text summarization is ... See full document
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