Techniques based on sentence extraction and ranking . 34
Centroid based summarization of multiple documents: sentence extraction, utility based evaluation, and user studies
... [email protected] Abstract We present a multi-document summarizer, called MEAD, which generates summaries using cluster centroids produced by a topic detection and tracking system. We also describe two new ...
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A Joint Model for Answer Sentence Ranking and Answer Extraction
... answer extraction systems: metrics that assess performance on individ- ual QA pairs can enable finer-grained evaluation than what end-to-end extraction metrics ...
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Text Summarization Formed by Ranking Sentence from Key Phrase Extraction
... keywords, sentence location, indicator phrases, ...learning techniques which are the part of the Data Mining ...final ranking sentence function is ...a ranking composed of three ...
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Readability-based Sentence Ranking for Evaluating Text Simplification
... for ranking search results (Li, ...compare sentence pairs within a group of sentences and rank them based on their complexity, trying to minimize inversion of ...apply ranking, we need to have ...
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Regression and Ranking based Optimisation for Sentence Level MT Evaluation
... However, the linear kernel is the fastest and simplest and there is no overall winner. Therefore, linear Ker- nel function was used in ROSE. The results of Kendall’s tau on sentence level evaluation are shown in ...
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Ontology-Based Sentence Extraction for Answering Why-Question
... answer extraction method by involving the semantic similarity measure, with selective causality ...a sentence, instead of ...is based on the shortest path and the maximum depth of the ontology ...the ...
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Genetic algorithm based sentence extraction for text summarization
... summarization based on sentence ...called sentence weighting and then select the best ...by extraction is the identification of important ...
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Sentence Extraction Based on Sentence Distribution and Part of Speech Tagging for Multi-Document Summarization
... Adverb cerem onially The proposed method does not treat every same word equally because the same word does not necessarily have the same function, as shown in Table 4. The function of every word can be known by ...
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Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking
... processing techniques to the problem of identifying text difficulty for non- native ...per sentence and the height of the parse ...levels based on the Weekly Reader educational newspa- per 2 ...
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TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction
... TextRank ranking model and keyphrases are then extracted by selecting the most represen- tative candidate from each of the top-ranked top- ...keyphrase extraction meth- ...
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TopicRank: Graph Based Topic Ranking for Keyphrase Extraction
... TextRank ranking model and keyphrases are then extracted by selecting the most represen- tative candidate from each of the top-ranked top- ...keyphrase extraction meth- ...
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Clustering based Approach to Multiword Expression Extraction and Ranking
... clustering- based approach for automatic extraction of multiword expressions ...the ranking score for each MWE based on the closest exemplar assigned to a ...the ranking of MWEs ...
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Ranking The Refactoring Techniques Based on The External Quality Attributes
... refactoring techniques based on the external code quality ...that ranking the refactoring techniques helped the XP team to focus on the technique that improve the code and the XP development ...
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Sentence Level Machine Translation Evaluation as a Ranking
... candidate sentence is evaluated against an extremely local lan- guage model of merely the reference ...tence based on the reference language ...candidate sentence to its cor- responding reference ...
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Significant Sentence Extraction by Euclidean Distance Based on Singular Value Decomposition
... The techniques used are principal compo- nent analysis (PCA) to extract the significant terms and singular value decompostion (SVD) to find out the significant ...the sentence-term matrix can be decomposed ...
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Ranking for Scalable Information Extraction
... the extraction task; how- ever, having such representation is often prohibitive, as it would require knowing a priori all distinct aspects of the ...the extraction and grows this representation gradually, ...
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Paragraph , Word , and Coherence based Approaches to Sentence Ranking: A Comparison of Algorithm and Human Performance
... The sentence ranking methods introduced in the two previous sections are solely based on layout or on properties of word distributions in sentences, texts, and document ...to sentence ...
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Three-stage question answering system with sentence ranking
... We explore a recently proposed question answering system. We developed a high speed modification based on dividing the question answering system into three consecutive stages. The first step is to find the ...
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Feature Extraction Techniques Based on Swarm Intelligence in OCR
... suitable techniques are designated for better character recognition in document into machine readable ...Content Based Image Retrieval (CBIR) system, which solve the delinquent of searching images in huge ...
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Image Stitching based on Feature Extraction Techniques: A Survey
... feature based image stitching algorithms, Also Stitching videos together to create dynamic panoramas, and stitching videos and images in the presence of large amounts of ...
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