Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Generating summaries of multiple news articles
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet: a lexical database for English
Communications of the ACM
Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
On the Use of Spreading Activation Methods in Automatic Information Retrieval
On the Use of Spreading Activation Methods in Automatic Information Retrieval
MITRE: description of the Alembic system used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
SRA: description of the SRA system as used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
The importance of proper weighting methods
HLT '93 Proceedings of the workshop on Human Language Technology
Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning of generic and user-focused summarization
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Towards multidocument summarization by reformulation: progress and prospects
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Creating and evaluating multi-document sentence extract summaries
Proceedings of the ninth international conference on Information and knowledge management
Summarizing Similarities and Differences Among Related Documents
Information Retrieval
Introduction to the special issue on summarization
Computational Linguistics - Summarization
Using and Evaluating User Directed Summaries to Improve Information Access
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
Interactive, Domain-Independent Identification and Summarization of Topically Related News Articles
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Multi-document Summarization Using Informative Words and Its Evaluation with a QA System
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
A summarization system for Chinese news from multiple sources
Journal of the American Society for Information Science and Technology
Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
SUMMAC: a text summarization evaluation
Natural Language Engineering
The TIPSTER SUMMAC Text Summarization Evaluation
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
A method for relating multiple newspaper articles by using graphs, and its application to Webcasting
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A multilingual news summarizer
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Information fusion in the context of multi-document summarization
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Correlating summarization of multi-source news with k-way graph bi-clustering
ACM SIGKDD Explorations Newsletter
Visualization-enabled multi-document summarization by Iterative Residual Rescaling
Natural Language Engineering
Detecting shifts in news stories for paragraph extraction
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
An Integrated Data Preparation Scheme for Neural Network Data Analysis
IEEE Transactions on Knowledge and Data Engineering
Sentence Fusion for Multidocument News Summarization
Computational Linguistics
Extracting key paragraph based on topic and event detection: towards multi-document summarization
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLPWorkshop on Automatic summarization - Volume 4
Multi-document summarization by sentence extraction
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLPWorkshop on Automatic summarization - Volume 4
Topic discovery based on text mining techniques
Information Processing and Management: an International Journal
Graph-based text representation and knowledge discovery
Proceedings of the 2007 ACM symposium on Applied computing
Automatic summarising: The state of the art
Information Processing and Management: an International Journal
Experiments in multidocument summarization
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Summarization system evaluation revisited: N-gram graphs
ACM Transactions on Speech and Language Processing (TSLP)
Question Answering Summarization of Multiple Biomedical Documents
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Sentence Ordering for Coherent Multi-document Summary Generation
BNCOD '08 Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge
Extracting key paragraph based on topic and event detection: towards multi-document summarization
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization
Multi-document summarization by sentence extraction
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Opinion extraction and summarization on the web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Learning document-level semantic properties from free-text annotations
Journal of Artificial Intelligence Research
Multi-document summarization by maximizing informative content-words
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Extracting shared topics of multiple documents
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
GSPSummary: a graph-based sub-topic partition algorithm for summarization
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Bridging Topics for Story Generation
Proceedings of the 2011 conference on Information Modelling and Knowledge Bases XXII
SciSumm: a multi-document summarization system for scientific articles
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
WASDGML '11 Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages
Web Page Summarization for Just-in-Time Contextual Advertising
ACM Transactions on Intelligent Systems and Technology (TIST)
Inclusion-based and exclusion-based approaches in graph-based multiple news summarization
KICSS'10 Proceedings of the 5th international conference on Knowledge, information, and creativity support systems
CorePhrase: keyphrase extraction for document clustering
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Analysis and synthesis of help-desk responses
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Sentence extraction using time features in multi-document summarization
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Query based summarization using non-negative matrix factorization
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Summarizing highly structured documents for effective search interaction
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Comparative document summarization via discriminative sentence selection
ACM Transactions on Knowledge Discovery from Data (TKDD)
Comparative Document Summarization via Discriminative Sentence Selection
ACM Transactions on Knowledge Discovery from Data (TKDD)
Summary evaluation: together we stand NPowER-ed
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Sentence fusion for multidocument news summarization
Computational Linguistics
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We describe a new method for summarizing similarities and differences in a pair of related documents using a graph representation for text. Concepts denoted by words, phrases, and proper names in the document are represented positionally as nodes in the graph along with edges corresponding to semantic relations between items. Given a perspective in terms of which the pair of documents is to be summarized, the algorithm first uses a spreading activation technique to discover, in each document, nodes semantically related to the topic. The activated graphs of each document are then matched to yield a graph corresponding to similarities and differences between the pair, which is rendered in natural language. An evaluation of these techniques has been carried out.