Sentence Summarization – Meta-Guide.com

Notes:

Sentence summarization is the process of creating a shortened version of a text by extracting the most important information and condensing it into a shorter form. There are several ways in which sentence summarization can be performed, including the following:

Extractive summarization: This approach involves extracting key phrases and sentences from the original text and combining them to create a summary. This method is often used to create summaries of news articles or other types of texts that are composed of discrete sentences and paragraphs.
Abstractive summarization: This approach involves generating a summary from scratch using natural language processing techniques. This method involves understanding the meaning and context of the original text and using this information to generate a summary that conveys the main points and ideas of the text.
Hybrid summarization: This approach combines elements of both extractive and abstractive summarization, using a combination of extracted phrases and generated text to create a summary.

This references listed below discusses various approaches and techniques used in automatic summarization of documents and speech. It mentions the use of sentence position and clustering for summarization, and the importance of ordering information in natural language text generation. It also highlights the importance of sentence similarity and graph-based ranking algorithms in document summarization, and the increasing attention being given to extractive speech summarization in the field of speech technology. Several methods and techniques for improving the quality of automatic text summarization are also mentioned, including the use of a combined word recognition algorithm and the non-negative matrix factorization method.

Non-negative matrix factorization (NMF) is a technique used in data analysis and machine learning for decomposing a given matrix into two smaller matrices with non-negative elements. It is often used for dimensionality reduction, feature extraction, and clustering.

In the context of automatic text summarization, NMF can be used to extract important features or topics from a document and use them to generate a summary. The idea is to represent the document as a matrix, where each row represents a term (word) in the document and each column represents a document. The goal is to find two matrices that approximate the original matrix and have non-negative elements. These two matrices can be interpreted as the “importance” of each term in each document and the “relevance” of each document to each term, respectively. The summary can then be generated by selecting the most important terms or topics from the resulting matrices.

NMF has several advantages over other matrix decomposition methods, such as singular value decomposition (SVD). One of the main advantages is that it produces non-negative elements, which can be useful for certain applications where negative values do not make sense. It is also relatively simple to implement and can handle sparse data well. However, it may not always produce the best results and may be sensitive to the initialization of the matrices.

Inferring strategies for sentence ordering in multidocument news summarization R Barzilay, N Elhadad – arXiv preprint arXiv:1106.1820, 2011 – arxiv.org Abstract: The problem of organizing information for multidocument summarization so that the generated summary is coherent has received relatively little attention. While sentence ordering for single document summarization can be determined from the ordering of … Cited by 244 Related articles All 38 versions Cite Save

Multi-document summarization using sentence-based topic models D Wang, S Zhu, T Li, Y Gong – Proceedings of the ACL-IJCNLP 2009 …, 2009 – dl.acm.org Abstract Most of the existing multi-document summarization methods decompose the documents into sentences and work directly in the sentence space using a term-sentence matrix. However, the knowledge on the document side, ie the topics embedded in the … Cited by 62 Related articles All 15 versions Cite Save

A new sentence similarity measure and sentence based extractive technique for automatic text summarization RM Aliguliyev – Expert Systems with Applications, 2009 – Elsevier The technology of automatic document summarization is maturing and may provide a solution to the information overload problem. Nowadays, document summarization plays an important role in information retrieval. With a large volume of documents, presenting the … Cited by 72 Related articles All 3 versions Cite Save

A bottom-up approach to sentence ordering for multi-document summarization D Bollegala, N Okazaki, M Ishizuka – Information processing & management, 2010 – Elsevier Ordering information is a difficult but important task for applications generating natural language texts such as multi-document summarization, question answering, and concept-to- text generation. In multi-document summarization, information is selected from a set of … Cited by 48 Related articles All 34 versions Cite Save

Summarization with a joint model for sentence extraction and compression AFT Martins, NA Smith – Proceedings of the Workshop on Integer Linear …, 2009 – dl.acm.org Abstract Text summarization is one of the oldest problems in natural language processing. Popular approaches rely on extracting relevant sentences from the original documents. As a side effect, sentences that are too long but partly relevant are doomed to either not appear … Cited by 36 Related articles All 15 versions Cite Save

Leveraging sentence weights in a concept-based optimization framework for extractive meeting summarization. S Xie, B Favre, D Hakkani-Tür, Y Liu – INTERSPEECH, 2009 – icsi.berkeley.edu Abstract We adopt an unsupervised concept-based global optimization framework for extractive meeting summarization, where a subset of sentences is selected to cover as many important concepts as possible. We propose to leverage sentence importance weights in … Cited by 17 Related articles All 11 versions Cite Save

Comparative document summarization via discriminative sentence selection D Wang, S Zhu, T Li, Y Gong – ACM Transactions on Knowledge …, 2012 – dl.acm.org Abstract Given a collection of document groups, a natural question is to identify the differences among them. Although traditional document summarization techniques can summarize the content of the document groups one by one, there exists a great necessity … Cited by 18 Related articles All 10 versions Cite Save

Opinion summarization with integer linear programming formulation for sentence extraction and ordering H Nishikawa, T Hasegawa, Y Matsuo… – Proceedings of the 23rd …, 2010 – dl.acm.org Abstract In this paper we propose a novel algorithm for opinion summarization that takes account of content and coherence, simultaneously. We consider a summary as a sequence of sentences and directly acquire the optimum sequence from multiple review documents … Cited by 17 Related articles All 9 versions Cite Save

Sentence position revisited: a robust light-weight update summarization’baseline’algorithm R Katragadda, P Pingali, V Varma – Proceedings of the Third …, 2009 – dl.acm.org Abstract In this paper, we describe a sentence position based summarizer that is built based on a sentence position policy, created from the evaluation testbed of recent summarization tasks at Document Understanding Conferences (DUC). We show that the summarizer thus … Cited by 9 Related articles All 11 versions Cite Save

Sentence features fusion for text summarization using fuzzy logic L Suanmali, MS Binwahlan… – Hybrid Intelligent Systems, …, 2009 – ieeexplore.ieee.org Abstract—The scoring mechanism of the text features is the unique way for determining the key ideas in the text to be presented as text summary. The efficiency of the technique used for scoring the text sentences could produce good summary. The feature scores are … Cited by 9 Related articles All 5 versions Cite Save

A French Human Reference Corpus for Multi-Document Summarization and Sentence Compression. C de Loupy, M Guégan, C Ayache, S Seng… – LREC, 2010 – lrec.elra.info Abstract This paper presents two corpora produced within the RPM2 project: a multi- document summarization corpus and a sentence compression corpus. Both corpora are in French. The first one is the only one we know in this language. It contains 20 topics with … Cited by 8 Related articles All 8 versions Cite Save More

Towards multi-lingual summarization: A comparative analysis of sentence extraction methods on English and Hebrew corpora M Litvak, H Lipman, AB Gur, M Last… – Proceedings of the 4th …, 2010 – aclweb.org Abstract The trend toward the growing multilinguality of the Internet requires text summarization techniques that work equally well in multiple languages. Only some of the automated summarization methods proposed in the literature, however, can be defined as … Cited by 9 Related articles All 16 versions Cite Save More

Evaluation of a sentence ranker for text summarization based on roget’s thesaurus A Kennedy, S Szpakowicz – Text, Speech and Dialogue, 2010 – Springer Abstract Evaluation is one of the hardest tasks in automatic text summarization. It is perhaps even harder to determine how much a particular component of a summarization system contributes to the success of the whole system. We examine how to evaluate the sentence … Cited by 7 Related articles All 9 versions Cite Save

Clustering And Feature Specific Sentence Extraction Based Summarization Of Multiple Documents. A Kogilavani, P Balasubramani – International journal of …, 2010 – search.ebscohost.com Abstract This paper presents an approach to cluster multiple documents by using document clustering approach and to produce cluster wise summary based on feature profile oriented sentence extraction strategy. Related documents are grouped into same cluster using … Cited by 8 Related articles All 6 versions Cite Save

Sentence selection for generic document summarization using an adaptive differential evolution algorithm RM Alguliev, RM Aliguliyev, CA Mehdiyev – Swarm and Evolutionary …, 2011 – Elsevier Abstract For effective multi-document summarization, it is important to reduce redundant information in the summaries and extract sentences, which are common to given documents. This paper presents a document summarization model which extracts key sentences from … Cited by 7 Related articles Cite Save

Hypersum: hypergraph based semi-supervised sentence ranking for query-oriented summarization W Wang, F Wei, W Li, S Li – Proceedings of the 18th ACM conference on …, 2009 – dl.acm.org Abstract Graph based sentence ranking algorithms such as PageRank and HITS have been successfully used in query-oriented summarization. With these algorithms, the documents to be summarized are often modeled as a text graph where nodes represent sentences and … Cited by 6 Related articles All 2 versions Cite Save

Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases. C Shen, T Li, CHQ Ding – AAAI, 2011 – aaai.org Abstract Probabilistic Latent Semantic Analysis (PLSA) has been popularly used in document analysis. However, as it is currently formulated, PLSA strictly requires the number of word latent classes to be equal to the number of document latent classes. In this paper, … Cited by 6 Related articles All 2 versions Cite Save

Aspect-based sentence segmentation for sentiment summarization J Zhu, M Zhu, H Wang, BK Tsou – … of the 1st international CIKM workshop …, 2009 – dl.acm.org Abstract Aspect-based sentiment summarization systems generally use sentences associated with relevant aspects extracted from the reviews as the basis for summarization. However, in real reviews, a single sentence often exhibits several aspects for opinions. … Cited by 6 Related articles Cite Save

Estimating Risk of Picking a Sentence for Document Summarization C Kumar, P Pingali, V Varma – Computational Linguistics and Intelligent …, 2009 – Springer Abstract Automatic Document summarization is proving to be an increasingly important task to overcome the information overload. The primary task of document summarization process is to pick subset of sentences as a representative of whole document set. We treat this as … Cited by 5 Related articles All 5 versions Cite Save

Sentence ordering with event-enriched semantics and two-layered clustering for multi-document news summarization R Zhang, W Li, Q Lu – Proceedings of the 23rd International Conference …, 2010 – dl.acm.org Abstract We propose an event-enriched model to alleviate the semantic deficiency problem in the IR-style text processing and apply it to sentence ordering for multi-document news summarization. The ordering algorithm is built on event and entity coherence, both locally … Cited by 7 Related articles All 10 versions Cite Save

Enhancing sentence?level clustering with integrated and interactive frameworks for theme?based summarization X Cai, W Li – Journal of the American Society for Information …, 2011 – Wiley Online Library Abstract Sentence clustering plays a pivotal role in theme-based summarization, which discovers topic themes defined as the clusters of highly related sentences to avoid redundancy and cover more diverse information. As the length of sentences is short and … Cited by 5 Related articles All 3 versions Cite Save

Mutual-reinforcement document summarization using embedded graph based sentence clustering for storytelling Z Zhang, SS Ge, H He – Information Processing & Management, 2012 – Elsevier In this paper, a document summarization framework for storytelling is proposed to extract essential sentences from a document by exploiting the mutual effects between terms, sentences and clusters. There are three phrases in the framework: document modeling, … Cited by 4 Related articles All 5 versions Cite Save

A preference learning approach to sentence ordering for multi-document summarization D Bollegala, N Okazaki, M Ishizuka – Information Sciences, 2012 – Elsevier Ordering information is a difficult but an important task for applications generating natural- language texts such as multi-document summarization, question answering, and concept-to- text generation. In multi-document summarization, information is selected from a set of … Cited by 6 Related articles All 5 versions Cite Save

Latent semantic sentence clustering for multi-document summarization J Geiß – … of Cambridge, Computer Laboratory, Technical Report, 2011 – core.kmi.open.ac.uk Summary This thesis investigates the applicability of Latent Semantic Analysis (LSA) to sentence clustering for Multi-Document Summarization (MDS). In contrast to more shallow approaches like measuring similarity of sentences by word overlap in a traditional vector … Cited by 4 Related articles All 6 versions Cite Save More

Sentence modeling for extractive speech summarization B Chen, HC Chang, KY Chen – Multimedia and Expo (ICME), …, 2013 – ieeexplore.ieee.org ABSTRACT Extractive speech summarization, aiming to select an indicative set of sentences from a spoken document so as to concisely represent the most important aspects of the document, has emerged as an attractive area of research and experimentation. A recent … Cited by 4 Related articles Cite Save

Weighted graph model based sentence clustering and ranking for document summarization SS Ge, Z Zhang, H He – Interaction Sciences (ICIS), 2011 4th …, 2011 – ieeexplore.ieee.org Abstract—This paper proposes a sentence ranking and clustering based summarization method that extracts essential sentences from a document. To discover central sentences, a weighted undirected graph that takes sentence similarities and the discourse relationship … Cited by 4 Related articles Cite Save

Genetic algorithm based sentence extraction for text summarization L Suanmali, N Salim, MS Binwahlan – International Journal of …, 2011 – kp.fsksm.utm.my Abstract The goal of text summarization is to generate summary of the original text that helps the user to quickly understand large volumes of information available in that text. This paper focuses on text summarization based on sentence extraction. One of the methods to … Cited by 3 Related articles All 4 versions Cite Save

Creating a gold standard for sentence clustering in multi-document summarization J Geiss – Proceedings of the ACL-IJCNLP 2009 Student …, 2009 – dl.acm.org Abstract Sentence Clustering is often used as a first step in Multi-Document Summarization (MDS) to find redundant information. All the same there is no gold standard available. This paper describes the creation of a gold standard for sentence clustering from DUC … Cited by 3 Related articles All 19 versions Cite Save

Text Summarization Based on the Sentence Features and Semantic Distance Z Peiying – Microcomputer Applications, 2009 – en.cnki.com.cn The technology of automatic text summarization provide a solution to the information overload problem. This paper proposes an effective method to extract salient sentences using the sentence features and semantic distance. The proposed method combines three … Cited by 2 Related articles Cite Save More

Multi-document Text Summarization: SimWithFirst Based Features and Sentence Co-selection Based Evaluation MM Ali, MK Ghosh, A Al-Mamun – Future Computer and …, 2009 – ieeexplore.ieee.org Abstract—Document summarization is an emerging technique for understanding the main purpose of any kind of documents. To visualize a large text document within a short duration and small visible area like PDA screen, summarization provides a greater flexibility and … Cited by 2 Related articles All 3 versions Cite Save

Automatic extractive text summarization based on fuzzy logic: a sentence oriented approach ME Hannah, TV Geetha, S Mukherjee – Swarm, Evolutionary, and Memetic …, 2011 – Springer Abstract The work presents a method to perform automaticsummarization of the text through sentence scoring. We propose a method which utilizes the facilities of fuzzy inference system for the purpose of scoring. Preprocessing of the text is done since this technique … Cited by 2 Related articles All 3 versions Cite Save

Multi-view sentence ranking for query-biased summarization P Hu, T He, H Wang – Computational Intelligence and Software …, 2010 – ieeexplore.ieee.org Abstract—This paper proposes a novel sentence ranking approach to query-biased summarization where ranking performance can be boosted by encouraging biased information richness in a multi-view framework. To investigate how the final ranking result … Cited by 2 Related articles All 2 versions Cite Save

Sentence Clustering-based Summarization of Multiple Text Documents K Sarkar – … –International Journal of Computing Science and …, 2009 – techniajournal.com Abstract:-With the rapid growth of the World Wide Web, information overload is becoming a problem for an increasingly large number of people. Automatic Multidocument summarization can be an indispensable solution to reduce the information overload … Cited by 6 Related articles Cite Save More

Syntax-driven sentence revision for broadcast news summarization H Tanaka, A Kinoshita, T Kobayakawa… – Proceedings of the …, 2009 – dl.acm.org Abstract We propose a method of revising lead sentences in a news broadcast. Unlike many other methods proposed so far, this method does not use the coreference relation of noun phrases (NPs) but rather, insertion and substitution of the phrases modifying the same … Cited by 3 Related articles All 17 versions Cite Save

Comparative document summarization via discriminative sentence selection D Wang, S Zhu, T Li, Y Gong – ACM Transactions on Knowledge …, 2013 – dl.acm.org Abstract Given a collection of document groups, a natural question is to identify the differences among these groups. Although traditional document summarization techniques can summarize the content of the document groups one by one, there exists a great … Cited by 2 Related articles All 2 versions Cite Save

Update summarization via graph-based sentence ranking X Li, L Du, YD Shen – Knowledge and Data Engineering, IEEE …, 2013 – ieeexplore.ieee.org Abstract—Due to the fast evolution of the information on the Internet, update summarization has received much attention in recent years. It is to summarize an evolutionary document collection at current time supposing the users have read some related previous … Cited by 2 Related articles All 7 versions Cite Save

Automatic multi-document summarization based on new sentence similarity measures W Yin, Y Pei – PRICAI 2012: Trends in Artificial Intelligence, 2012 – Springer Abstract The acquiring of sentence similarity has become a crucial step in graph-based multi- document summarization algorithms which have been intensively studied during the past decade. Previous algorithms generally considered sentence-level structure information … Cited by 1 Related articles All 3 versions Cite Save

An Improved Approach to Sentence Ordering For Multi-document Summarization T Zhu, X Zhao – IACSIT Hong Kong Conferences, IACSIT Press, …, 2012 – ipcsit.com Abstract. While sentence ordering for single-document summarization can be determined from the ordering of sentences in the input article, this is not the case for multi-document summarization where summary sentences may be drawn from different input articles. In … Cited by 1 Related articles Cite Save More

Enhancing Query-oriented Summarization based on Sentence Wikification Y Miao, C Li – Workshop of the 33 rd Annual International, 2010 – alex.smola.org ABSTRACT Query-oriented summarization is primarily concerned with synthesizing an informative and well-organized summary from a document collection for a given query. In the existing summarization methods, each individual sentence in the document collection is … Cited by 1 Related articles All 3 versions Cite Save More

Categorized Text Document Summarization in the Kannada Language by Sentence Ranking R Jayashree, S Murthy, B Anami – Intelligent Systems Design …, 2012 – ieeexplore.ieee.org Abstract The growth of internet has given rise to the need for better Information Retrieval (IR) techniques which help in obtaining relevant information at a faster rate. Text Summarization is one such technique which aims at producing a quick and concise summary of the Text. … Cited by 1 Related articles Cite Save

Automated text summarization: sentence refinement approach S Jusoh, AM Masoud, HM Alfawareh – Digital Information Processing and …, 2011 – Springer Abstract Automated text summarization is a process of deriving a shorter version of a text document from an original text. The most well known and widely used technique for automated text summarization is sentence extraction technique. Using this technique, … Cited by 1 Related articles Cite Save

LDA-Based Topic Formation and Topic-Sentence Reinforcement for Graph-Based Multi-document Summarization D Gao, W Li, Y Ouyang, R Zhang – Information Retrieval Technology, 2012 – Springer Abstract In recent years graph-based ranking algorithms have attracted much attention in document summarization. This paper introduces our recent work on applying a topic model, namely LDA, in graph-based summarization. In the proposed approach, LDA is used to … Cited by 1 Related articles All 3 versions Cite Save

Multi-document Summarization Based on Sentence Features and Frequent Itemsets J Jayabharathy, S Kanmani – Advances in Computer Science, …, 2012 – Springer Abstract Information retrieval is the process of searching for information and related knowledge within the collected documents or from the web Users and are presented with vast information which suffers from redundancy and irrelevance. Searching for the … Cited by 1 Related articles All 2 versions Cite Save

Document summarization via guided sentence compression C Li, F Liu, F Weng, Y Liu – Proceedings of EMNLP (to appear), 2013 – aclweb.org Abstract Joint compression and summarization has been used recently to generate high quality summaries. However, such word-based joint optimization is computationally expensive. In this paper we adopt the ‘sentence compression+ sentence selection’pipeline … Cited by 1 Related articles All 5 versions Cite Save More

Community answer summarization for multi-sentence question with group L 1 regularization W Chan, X Zhou, W Wang, TS Chua – … of the 50th Annual Meeting of the …, 2012 – dl.acm.org Abstract We present a novel answer summarization method for community Question Answering services (cQAs) to address the problem of” incomplete answer”, ie, the” best answer” of a complex multi-sentence question misses valuable information that is … Cited by 1 Related articles All 11 versions Cite Save

A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization L Wang, H Raghavan, V Castelli, R Florian… – Proceedings of ACL, 2013 – aclweb.org Abstract We consider the problem of using sentence compression techniques to facilitate queryfocused multi-document summarization. We present a sentence-compression-based framework for the task, and design a series of learning-based compression models built … Cited by 1 Related articles All 8 versions Cite Save More

Product review summarization based on facet identification and sentence clustering DK Ly, K Sugiyama, Z Lin, MY Kan – arXiv preprint arXiv:1110.1428, 2011 – arxiv.org Abstract: Product review nowadays has become an important source of information, not only for customers to find opinions about products easily and share their reviews with peers, but also for product manufacturers to get feedback on their products. As the number of product … Cited by 1 Related articles All 26 versions Cite Save

Summarization by Latent Dirichlet Allocation: Superior Sentence Extraction through Topic Modeling KW Murray – 2009 – kentonmurray.com A Senior Thesis submitted to the Department of Computer Science in partial fulfillment of the requirements for the degree of a Bachelors of Science in Engineering … This Thesis represents my own work in accordance with University Regulations. … I would like to thank my family … Cited by 1 Related articles All 2 versions Cite Save More

Sentence extraction for summarization and Notetaking H Khanpour – 2009 – dspace.fsktm.um.edu.my Notetaking and summarization are important learning skills used by students, even when they are not explicitly instructed to do so. Summarization is the distillation of important information from a source into a shortened form for a particular user or task and … Cited by 1 Related articles Cite Save

Automatic Text Summarization Based on Thematic Word Weight and Sentence Features JCP Hong, CJM Qian-li – Journal of South China University of …, 2010 – en.cnki.com.cn In order to generate high-quality automatic text summarization, a formula based on the combined word recognition algorithm is presented to compute the weight of words in a text, with the word frequency, part of speech, word position and word length being considered. … Related articles Cite Save More

A progressive sentence selection strategy for document summarization Y Ouyang, W Li, R Zhang, S Li, Q Lu – Information Processing & …, 2013 – Elsevier Saliency and coverage are two of the most important issues in document summarization. In most summarization methods, the saliency issue is usually of top priority. Many studies are conducted to develop better sentence ranking methods to identify the salient sentences for … Cited by 1 Related articles All 5 versions Cite Save

Using Context Inference to Improve Sentence Ordering for Multi-document Summarization PLGDQ Zhu – aclweb.org Abstract In this paper, we propose a novel context inference-based approach for sentences ordering in multi-document summarization application. Our method first detects whether or not two summarization sentences should be adjacent according to the similarity between … Related articles All 5 versions Cite Save More

An improved web information summarization method using Sentence Similarity-Based Soft clustering J Tang, X Zhao – … 2009. FBIE 2009. International Conference on …, 2009 – ieeexplore.ieee.org Abstract-For the explosion of information in the World Wide Web, this paper proposed a new method of web news summarization via soft clustering algorithm. It used search engine to extract relevant documents, and mixed query sentence into sentences set which … Related articles All 2 versions Cite Save

A novel approach for research paper abstracts summarization using cluster based sentence extraction SR Patil, SM Mahajan – Proceedings of the International Conference & …, 2011 – dl.acm.org Abstract This paper presents a part of research work to develop a method for automatic summarization of sets of research paper abstracts of desired subject in a specific area that may be retrieved by a digital library system or search engine in response to a user query. … Related articles Cite Save

A Topic-driven Summarization using K-mean Clustering and Tf-Isf Sentence Ranking. R Wadhvani, RK Pateriya… – International Journal of …, 2013 – search.ebscohost.com Abstract Enormous online information is available due to the World Wide Web. This needed efficient and accurate summarization systems to extract significant information. Text summarization system automatically generates a summary of a given document and helps … Related articles All 2 versions Cite Save

Enhancing Sentence Ordering by Hierarchical Topic Modeling for Multi-document Summarization G Yang, D Wen, E Sutinen – Advances in Artificial Intelligence and Its …, 2013 – Springer Abstract The sentence ordering is a difficult but very important task in multi-document summarization. With the aim of producing a coherent and legible summary for multiple documents, this study proposes a novel approach that is built upon a hierarchical topic … Related articles Cite Save

Enhancing sentence-level clustering with ranking-based clustering framework for theme-based summarization L Yang, X Cai, Y Zhang, P Shi – Information Sciences, 2014 – Elsevier Abstract Sentence clustering plays a pivotal role in theme-based summarization, which discovers topic themes defined as the clusters of highly related sentences in order to avoid redundancy and cover more diverse information. As the length of sentences is short and … Cited by 1 Related articles All 2 versions Cite Save

An Algebraic Approach for Sentence Based Feature Extraction Applied for Automatic Text Summarization NK Batcha, NA Aziz – Advanced Science Letters, 2014 – ingentaconnect.com Abstract: In the existing approaches of Automatic Text Summarization (ATS) which uses the algebraic reduction method Non-negative Matrix Factorization (NMF), the approximation process is more concerned towards convergence and feature selection from the original … Related articles Cite Save

Research on Sentence Extraction in Text Summarization L ZHANG, H WANG – Journal of Chinese Information Processing, 2012 – en.cnki.com.cn Extractive summarization attempts to extract important sentences from the original text and re-organize them in a summary. In this paper we propose a method to automatically identify significant sentences. The basic idea of this method is to label each sentence with one of … Cite Save More

An map based sentence ranking approach to automatic summarization X Wu, C Zong – … and Knowledge Engineering (NLP-KE), 2010 …, 2010 – ieeexplore.ieee.org Abstract: While the current main stream of automatic summarization is to extract sentences, that is, to use various machine learning methods to give each sentence of a document a score and get the highest sentences according to a ratio. This is quite similar to the current … Related articles All 7 versions Cite Save

An Effective Sentence Ordering Approach For Multi-Document Summarization Using Text Entailment P Sukumar, KS Gayathri – ijritcc.org Abstract—With the rapid development of modern technology electronically available textual information has increased to a considerable amount. Summarization of textual information manually from unstructured text sources creates overhead to the user, therefore a … Cite Save More

MRS for multi-document summarization by sentence extraction YD Xu, XD Zhang, GR Quan, YD Wang – Telecommunication Systems, 2013 – Springer Abstract A Multi-document Rhetorical Structure (MRS) is proposed for multi-document automatic summarization task. In this structure, interrelationship between text units, including the correlation between units calculated by hierarchical topic tree, the rhetorical … Related articles All 3 versions Cite Save

Two-Step Sentence Extraction for Summarization of Meeting Minutes JK Lee, HJ Song, SB Park – Information Technology: New …, 2011 – ieeexplore.ieee.org Abstract—These days a number of meeting minutes of various organizations are publicly available and the interest in these documents by people is increasing. However it is time- consuming and tedious to read and understand whole documents even if the documents … Related articles All 4 versions Cite Save

Automatic Summarization for Chinese Text Based on Sub Topic Partition and Sentence Features X Li, J Zhang, M Xing – Intelligence Information Processing and …, 2011 – ieeexplore.ieee.org Abstract—With the explosion of electronic information on web, there is the increasing requirement to obtain the information needed accurately and efficiently. In this article, a method of automatic summarization based on sub topic partition and sentence features is … Related articles All 4 versions Cite Save

Sentence Ordering Algorithm with Subject Criterion for Automatic Multi-Document Summarization N Jawas, RC Wihandika… – Journal of Information …, 2013 – worldacademicunion.com Abstract. In multi-document summarization, order of sentences in summarization result must be coherence and it must represent information in correct steps to make it easy to understand by the reader. Problem arises when some subject of sentences are … Related articles Cite Save More

Significance of Sentence Ordering in Multi Document Summarization R Ali, C Sharma – bvicam.ac.in ABSTRACT Multi-document summarization represents the information in a concise and comprehensive manner. In this paper we discuss the significance of ordering of sentences in multi document summarization. We show experimental results on DUC2002 dataset. … Related articles All 2 versions Cite Save More

Graph-based informative-sentence selection for opinion summarization L Zhu, S Gao, SJ Pan, H Li, D Deng… – Proceedings of the 2013 …, 2013 – dl.acm.org Abstract In this paper, we propose a new framework for opinion summarization based on sentence selection. Our goal is to assist users to get helpful opinion suggestions from reviews by only reading a short summary with few informative sentences, where the … Related articles All 4 versions Cite Save

Sentence Descending Algorithm for Automatic Text Summarization T Zhu, Q Liu – … of the 2011 International Conference on …, 2011 – doi.ieeecomputersociety.org Abstract—This paper proposes a novel method for automatic text summarization. The topic space model is built through the Chinese Restaurant Process. The documents are mapped to the topic space from vector space. Sentence descending algorithm is introduced to … Related articles All 4 versions Cite Save

A sentence selection method of query-based Chinese Multi-document summarization X Song, J Huang, J Zhou… – … Intelligence and Industrial …, 2009 – ieeexplore.ieee.org Abstract: With the Internet developing, there are many documents on the same topic which contains redundance. Multi-Document summarization is a technology of natural languages processing, which extract important information from multiple texts about the same topic … Cited by 1 Related articles All 2 versions Cite Save

Syntactic and Sentence Feature Based Hybrid Approach for Text Summarization DY Sakhare, R Kumar – International Journal of Information …, 2014 – mecs-press.org Abstract Recently, there has been a significant research in automatic text summarization using feature-based techniques in which most of them utilized any one of the soft computing techniques. But, making use of syntactic structure of the sentences for text summarization … Related articles Cite Save

On the Effectiveness of Using Sentence Compression Models for Query-Focused Multi-Document Summarization YCSA Hasan – newdesign.aclweb.org ABSTRACT This paper applies sentence compression models for the task of query-focused multi-document summarization in order to investigate if sentence compression improves the overall summarization performance. Both compression and summarization are considered … Related articles All 8 versions Cite Save More

Assessing sentence scoring techniques for extractive text summarization R Ferreira, L de Souza Cabral, RD Lins… – Expert Systems with …, 2013 – Elsevier Text summarization is the process of automatically creating a shorter version of one or more text documents. It is an important way of finding relevant information in large text libraries or in the Internet. Essentially, text summarization techniques are classified as Extractive and … Cited by 1 Related articles All 3 versions Cite Save

AMDS: Sentence Extraction Based Proficient Framework for Multi-Document Summarization C Balasubramanian, KG Srinivasagan… – The International …, 2013 – atlantis-press.com Abstract:-Rapid improvement of electronic documents in World Wide Web has made overload to the users in accessing the information. Therefore, abstracting the primary content from numerous documents related to same topic is highly essential. … Related articles All 2 versions Cite Save

More Multi-document summarization using sentence clustering VK Gupta, TJ Siddiqui – Intelligent Human Computer Interaction …, 2012 – ieeexplore.ieee.org Abstract This paper presents an approach to query focused multi document summarization by combining single document summary using sentence clustering. Both syntactic and semantic similarity between sentences is used for clustering. Single document summary is … Cited by 1 Related articles Cite Save

Evaluating the use of different positional strategies for sentence selection in biomedical literature summarization L Plaza, J Carrillo-de-Albornoz – BMC bioinformatics, 2013 – Springer Abstract Background The position of a sentence in a document has been traditionally considered an indicator of the relevance of the sentence, and therefore it is frequently used by automatic summarization systems as an attribute for sentence selection. Sentences … Related articles All 14 versions Cite Save

Document Summarization via Self-Present Sentence Relevance Model X Li, S Zhu, H Xie, Q Li – Database Systems for Advanced Applications, 2013 – Springer Abstract Automatic document summarization is always attractive to computer science researchers. A novel approach is proposed to address this topic and mainly focuses on the summarization of plain documents. Conventional summarization methods do not fully use … Related articles Cite Save

A subtopic-enriched MMR approach to sentence ranking for Chinese multi-document summarization P Hu, T He, H Wang – Knowledge Acquisition and Modeling ( …, 2010 – ieeexplore.ieee.org … In this paper, we have proposed a novel subtopic enriched sentence ranking method for Chinese multi document summarization, which extends the traditional MMR algorithm by integrating the sub-topical relevance as well as the sentence-to-subtopic proximity into the unified … Related articles All 2 versions Cite Save

A sentence scoring method for extractive text summarization based on Natural language queries. RVV Murali Krishna, S Reddy – International Journal of …, 2012 – search.ebscohost.com Abstract The developments in storage devices and computer networks have given the scope for the world to become a paperless community, for example Digital news paper systems and digital library systems. A paperless community is heavily dependent on information … Related articles Cite Save

A sentence scoring method for extractive text summarization based on Natural language queries RVVM Krishna, CS Reddy – 2012 – ijcsi.org Abstract The developments in storage devices and computer networks have given the scope for the world to become a paperless community, for example Digital news paper systems and digital library systems. A paperless community is heavily dependent on information … Related articles All 2 versions Cite Save More

[BOOK] Improving search results with automated summarization and sentence clustering S Cotter – 2012 – gradworks.umi.com Abstract: Have you ever searched for something on the web and been overloaded with irrelevant results? Many search engines tend to cast a very wide net and rely on ranking to show you the relevant results first. But, this doesn’t always work. Perhaps the occurrence … Cite Save More

Syntactic Sentence Compression for Text Summarization P Perera – 2013 – spectrum.library.concordia.ca Abstract Automatic text summarization is a dynamic area in Natural Language Processing that has gained much attention in the past few decades. As a vast amount of data is accumulating and becoming available online, providing automatic summaries of specific … Related articles Cite Save

Bengali text summarization by sentence extraction K Sarkar – arXiv preprint arXiv:1201.2240, 2012 – arxiv.org Abstract: Text summarization is a process to produce an abstract or a summary by selecting significant portion of the information from one or more texts. In an automatic text summarization process, a text is given to the computer and the computer returns a shorter … Cited by 5 Related articles All 2 versions Cite Save

Evaluation of sentence-selection text summarization methods on Polish news articles A Dudczak, J Stefanowski, D Weiss – Foundations of Computing …, 2010 – yadda.icm.edu.pl Abstrakty EN This paper presents the goals, results and conclusions from an experiment in which several shallow text summarization methods have been applied to news articles written in Polish. Specifically, we focused on various techniques of salient sentence … Cited by 1 Related articles All 3 versions Cite Save More

Automated Bangla text summarization by sentence scoring and ranking M Efat, I Alam, M Ibrahim… – Informatics, Electronics & …, 2013 – ieeexplore.ieee.org Abstract—In Natural Language Processing (NLP) the document summarization is an area that is getting interest of modern researchers. Though there are many techniques that have been proposed for English language but a few notable works have been done for Bangla … Related articles Cite Save

Using Sentence Network to Automatic Document Summarization PC Yang – 2013 – thesis.lib.ncu.edu.tw Abstract This paper proposed a Graph-based Summarization method by building a sentence network that represent the relation between sentences with NGD. The method can get rid of the dependence of external resources like corpus and lexical database by using the … Related articles Cite Save More