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Query-focused Scientific Paper Summarization with Localized Sentence Representation

Kazutoshi Shinoda, Akiko Aizawa
2018 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  
Query-focused summarization enables the extraction of information on a specific "aspect" such as a "proposed approach" or "dataset used."  ...  In our approach, we first calculate word importance scores for each target document using a word-level random walk. Next, we optimize sentence embedding vectors using a Siamese neural network.  ...  In terms of mining scientific papers by query-focused multi-document summarization, our localized sentence representations were proved to be useful.  ... 
dblp:conf/sigir/ShinodaA18 fatcat:3qrwsk2pdrdiddgnl3up7653oe

Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization [article]

Quanye Jia, Rui Liu, Jianying Lin
2021 arXiv   pre-print
Manifold ranking has been successfully applied in query-oriented multi-document summarization.  ...  Our method not only utilizes the information of the query term itself and the knowledge base WordNet to expand it by synonyms, but also uses the information of the document set itself to expand the query  ...  Introduction Query-focused multi-document summarization is to create a summary from a set of documents that answers the information requirements expressed in the query.  ... 
arXiv:2108.01441v1 fatcat:yttoi55dobeknddpq7qciuithe

QUERY-BASED SUMMARIZATION METHODS FOR CONVERSATIONAL AGENTS: AN OVERVIEW

Ketakee Nimavat
2017 International Journal of Advanced Research in Computer Science  
The paper hence explores various methods for summarization and focuses particularly on extracting the gist from the perspective of a given keyword i.e. query based summarization from raw unstructured text  ...  It is hoped that the approaches discussed in the paper will be of use to researchers building algorithms in areas of knowledge mining and understanding, such as summarization, that deal with the challenges  ...  Query based multi document summarization using linguistic knowledge and content word expansion[33] The approach tackles the issue of extractive summary while considering the semantic relations between  ... 
doi:10.26483/ijarcs.v8i8.4788 fatcat:tc7jkg32dzem3hvpqt2ydq75iu

A Document Graph Based Query Focused Multi-Document Summarizer

Sibabrata Paladhi, Sivaji Bandyopadhyay
2008 International Joint Conference on Natural Language Processing  
Although all the examples, shown in this paper are based on English language, we show that our system is useful in generating query dependent summarization for non-English languages also.  ...  This paper explores the research issue and methodology of a query focused multidocument summarizer.  ...  Conclusion and Future Work In this work we present a graph based approach for query dependent multi-document summarization system.  ... 
dblp:conf/ijcnlp/PaladhiB08a fatcat:tq34v4bqufak5ejoljrhpq32le

A Query Focused Multi Document Automatic Summarization

Pinaki Bhaskar, Sivaji Bandyopadhyay
2010 Pacific Asia Conference on Language, Information and Computation  
The present paper describes the development of a query focused multi-document automatic summarization.  ...  The system clusters similar texts having related topical features from the graph using edge scores.  ...  We have Conclusion and Future Work In this work we present a graph based approach for query dependent multi document summarization system.  ... 
dblp:conf/paclic/BhaskarB10 fatcat:kgstzxpf6rfjjj6emgo3ulsq6q

Automatic Generation of Review Matrices as Multi-document Summarization of Scientific Papers

Hayato Hashimoto, Kazutoshi Shinoda, Hikaru Yokono, Akiko Aizawa
2017 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  
We use LexRank and also incorporate query expansion and word embedding to compensate for tersely expressed queries.  ...  A synthesis matrix is a table that summarizes various aspects of multiple documents.  ...  Sentence Ranking Query-Focused LexRank LexRank, a graph-based sentence ranking method presented by Erkan and Radev [5] , is widely used for summarization.  ... 
dblp:conf/sigir/HashimotoSYA17 fatcat:sqiybvvjojbxjcmu72vwululcm

A novel contextual topic model for multi-document summarization

Guangbing Yang, Dunwei Wen, Kinshuk, Nian-Shing Chen, Erkki Sutinen
2015 Expert systems with applications  
With the aim of seeking a new method to help justify the importance of similar sentences in multi-document summarizations, this study proposes a novel approach based on recent hierarchical Bayesian topic  ...  How to alleviate this problem is the main concern of research on natural language processing, especially multi-document summarization.  ...  Another approach presented by Canhasi and Kononenko (2014) uses weighted archetypal analysis of the multi-element graph to construct a query-focused summarizer for multiple documents.  ... 
doi:10.1016/j.eswa.2014.09.015 fatcat:tujvax72tngvfg6cqjazcsyphq

Summarizing local context to personalize global web search

Paul-Alexandru Chirita, Claudiu S. Firan, Wolfgang Nejdl
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
More specifically, we investigate the opportunities to select personalized query expansion terms for web search using three different desktop oriented approaches: summarizing the entire desktop data, summarizing  ...  In this paper we propose a new approach towards an automatic personalization of web search in which the user specific information is extracted from such local desktops, thus allowing for an increased quality  ...  Centroid Based Summarization The centroid based summarization was first proposed by Radev et al. in [28] , who applied the "pile metaphor" document clustering approach of Rose et al.  ... 
doi:10.1145/1183614.1183658 dblp:conf/cikm/ChiritaFN06 fatcat:6jhufvqwwrdfhgen2boad5rryi

Tweet Contextualization (Answering Tweet Question) - the Role of Multi-document Summarization

Pinaki Bhaskar, Somnath Banerjee, Sivaji Bandyopadhyay
2013 Conference and Labs of the Evaluation Forum  
The Offline multi-document summarization system is based on document graph, clustering and sentence compression. In the Focused IR system, Wikipedia documents are indexed using Lucene with NE field.  ...  In our system there are three major sub-systems; i) Offline multi-document summarization, ii) Focused IR and iii) online multi-document Summarization.  ...  Graph based methods have been also proposed for generating summaries. A document graph based query focused multi-document summarization system has been described by [18] , [7] and [8] .  ... 
dblp:conf/clef/BhaskarBB13 fatcat:bdhrsixvhjft3jcitffjjad2f4

Appraising UMLS Coverage for Summarizing Medical Evidence

Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen
2016 International Conference on Computational Linguistics  
The effectiveness of our proposed approach is demonstrated by conducting a set of experiments over a specialized evidence-based medicine (EBM) corpus -which has been gathered and annotated for the purpose  ...  This paper proposes an effective summarizer for medical evidence by utilizing both UMLS and WordNet.  ...  Acknowledgements We thank the anonymous reviewers for their insightful comments and valuable suggestions.  ... 
dblp:conf/coling/ShafieibavaniEW16 fatcat:k65zffa3xvdthabuieupew7qyy

Query-Chain Focused Summarization

Tal Baumel, Raphael Cohen, Michael Elhadad
2014 Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
In Query-focused summarization, the task is to produce a summary as an answer to a given query.  ...  We present an algorithm for Query-Chain Summarization based on a new LDA topic model variant. Evaluation indicates the algorithm improves on strong baselines.  ...  We thank the reviewers for extremely helpful advice.  ... 
doi:10.3115/v1/p14-1086 dblp:conf/acl/BaumelCE14 fatcat:hzgwmkklxve4zlqvwk7run7fji

Generating event storylines from microblogs

Chen Lin, Chun Lin, Jingxuan Li, Dingding Wang, Yang Chen, Tao Li
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
In this paper we explore the problem of generating storylines from microblogs for user input queries. This problem is challenging due to the sparse, dynamic and social nature of microblogs.  ...  We first propose a language model with dynamic pseudo relevance feedback to obtain relevant tweets, and then generate storylines via graph optimization.  ...  Multi-Document Summarization using Submodularity (MSSF) [18] : a multi-document summarization framework based on Submodularity; 10.  ... 
doi:10.1145/2396761.2396787 dblp:conf/cikm/LinLLWCL12 fatcat:7w2rmpvdpbgevfe27um7i25yyu

Query Focused Multi-Document Summarization with Distant Supervision [article]

Yumo Xu, Mirella Lapata
2020 arXiv   pre-print
We consider the problem of better modeling query-cluster interactions to facilitate query focused multi-document summarization (QFS).  ...  Under this framework, a trained evidence estimator further discerns which retrieved segments might answer the query for final selection in the summary.  ...  Conclusions In this work, we proposed a coarse-to-fine estimation framework for query focused multi-document summarization.  ... 
arXiv:2004.03027v1 fatcat:m473vytlvfhz5op5gr6f7r44iq

An Overview of Text Summarization

Laxmi B., P. Venkata
2017 International Journal of Computer Applications  
This paper presents a comprehensive survey of contemporary text summarization of extractive and abstractive approaches.  ...  As the vast amount of information is available for every theme on Internet, shortening the information in the form of summary would immensely benefit readers.  ...  Nevertheless, if abstracts are not available for a given corpus, using the LSA-based measure is an appropriate choice.Leonhard Hennig [39] introduced an approach to query-focused multi-document summarization  ... 
doi:10.5120/ijca2017915109 fatcat:hlpvgrzpd5hord5bfy4zndqexi

Density-based graph model summarization: Attaining better performance and efficiency

Mohammadreza Valizadeh, Pavel Brazdil
2015 Intelligent Data Analysis  
In this paper, a density-based graph model for multi-document summarization is proposed by adding the concept of density to LexRank and T-LexRank algorithms.  ...  DsR-G, DsR-Q) for multi-document summarization.  ...  [11] used query expansion in graph-based approach for query-focused multi-document summarization. They used topic-sensitive LexRank [12] (i.e.  ... 
doi:10.3233/ida-150735 fatcat:nk57va22ozcqnowvherppzovlm
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