The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Ontological inference for image and video analysis
Machine Vision and Applications
A Query-Based Medical Information Summarization System Using Ontology Knowledge
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
A formal model for information selection in multi-sentence text extraction
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Summarizing email conversations with clue words
Proceedings of the 16th international conference on World Wide Web
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Generating summary keywords for emails using topics
Proceedings of the 13th international conference on Intelligent user interfaces
Query-Based Multi-Document Summarization Using Non-Negative Semantic Feature and NMF Clustering
NCM '08 Proceedings of the 2008 Fourth International Conference on Networked Computing and Advanced Information Management - Volume 02
An Ontology-Based Approach to Text Summarization
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Tag-oriented document summarization
Proceedings of the 18th international conference on World wide web
Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning
IEEE Transactions on Knowledge and Data Engineering
Multi-document summarization by sentence extraction
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization
Graph-based keyword extraction for single-document summarization
MMIES '08 Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization
Topic-driven multi-document summarization with encyclopedic knowledge and spreading activation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Improved affinity graph based multi-document summarization
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Text summarization model based on the budgeted median problem
Proceedings of the 18th ACM conference on Information and knowledge management
Ontology-enriched multi-document summarization in disaster management
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Document update summarization using incremental hierarchical clustering
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Summarizing biological literature with BioSumm
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Identification of rhetorical roles for segmentation and summarization of a legal judgment
Artificial Intelligence and Law
Graph-Based Algorithms for Text Summarization
ICETET '10 Proceedings of the 2010 3rd International Conference on Emerging Trends in Engineering and Technology
Integrating Document Clustering and Multidocument Summarization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Robust disambiguation of named entities in text
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Multi-document summarization exploiting frequent itemsets
Proceedings of the 27th Annual ACM Symposium on Applied Computing
GenDocSum+MCLR: Generic document summarization based on maximum coverage and less redundancy
Expert Systems with Applications: An International Journal
CDDS: Constraint-driven document summarization models
Expert Systems with Applications: An International Journal
Evaluating Entity Linking with Wikipedia
Artificial Intelligence
Multiple documents summarization based on evolutionary optimization algorithm
Expert Systems with Applications: An International Journal
Rhetorics-based multi-document summarization
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Sentence-based multi-document summarization is the task of generating a succinct summary of a document collection, which consists of the most salient document sentences. In recent years, the increasing availability of semantics-based models (e.g., ontologies and taxonomies) has prompted researchers to investigate their usefulness for improving summarizer performance. However, semantics-based document analysis is often applied as a preprocessing step, rather than integrating the discovered knowledge into the summarization process. This paper proposes a novel summarizer, namely Yago-based Summarizer, that relies on an ontology-based evaluation and selection of the document sentences. To capture the actual meaning and context of the document sentences and generate sound document summaries, an established entity recognition and disambiguation step based on the Yago ontology is integrated into the summarization process. The experimental results, which were achieved on the DUC'04 benchmark collections, demonstrate the effectiveness of the proposed approach compared to a large number of competitors as well as the qualitative soundness of the generated summaries.