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Automatic reading and learning from text
A. Oliveira, F. C. Pereira, and A. Cardoso · 2001
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Estimating the number of clusters in a data set via the gap statistic
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Spartan: A model-based semantic compression system for massive data tables
S. Babu, M. Garofalakis, and R. Rastogi · 2001
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Applying natural language generation to indicative summarization
M.-Y. Kan, K. McKeown, and J. L. Klavans · 2001
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Domain-specific informative and indicative summarization for information retrieval
M.-Y. Kan, K. R. McKeown, and J. L. Klavans · 2001
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Intelligent access to text: Integrating information extraction technology into text browsers
R. Gaizauskas, P. Herring, M. Oakes, M. Beaulieu, P. Willett, H. Fowkes, and A. Jonsson · 2001
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Towards generating patient specific summaries of medical articles
N. Elhadad and K. R. McKeown · 2001
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Echocardiogram video summarization
S. Ebadollahi, S.-F. Chang, H. D. Wu, and S. Takoma · 2001
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Introduction to the special issue on summarization
D. R. Radev, E. Hovy, and K. McKeown · 2002
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Summarization beyond sentence extraction: A probabilistic approach to sentence compression
K. Knight and D. Marcu · 2002
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Knowledge discovery from texts: a concept frame graph approach
K. Rajaraman and A.-H. Tan · 2002
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A web-based english abstract writing tool using a tagged ej parallel corpus
M. Narita, K. Kurokawa, and T. Utsuro · 2002
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Interactive document summarisation using automatically extracted keyphrases
S. Jones, S. Lundy, and G. W. Paynter · 2002
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Real users, real data, real problems: the mitap system for monitoring bio events
L. Damianos, S. Wohlever, J. Ponte, G. Wilson, F. Reeder, T. McEntee, R. Kozierok, L. Hirschman, and D. Day · 2002
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Multilingual summarization by integrating linguistic resources in the mlis-musi project
A. Lenci, R. Bartolini, N. Calzolari, A. Agua, S. Busemann, E. Cartier, K. Chevreau, and J. Coch · 2002
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Modeling medical content for automated summarization
D. B. Johnson, Q. Zou, J. D. Dionisio, V. Z. Liu, and W. W. Chu · 2002
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Classminer: mining medical video for scalable skimming and summarization
X. Zhu, J. Fan, M.-S. Hacid, and A. K. Elmagarmid · 2002
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Summarizing archived discussions: a beginning
P. S. Newman and J. C. Blitzer · 2003
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Fractal summarization: summarization based on fractal theory
C. C. Yang and F. L. Wang · 2003
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ineats: interactive multi-document summarization
A. Leuski, C.-Y. Lin, and E. Hovy · 2003
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Artificial intelligence: a modern approach (2003)
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Bayesian event classification for intrusion detection
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Anomaly detection in ip networks
M. Thottan and C. Ji · 2003
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A novel anomaly detection scheme based on principal component classifier
M.-L. Shyu, S.-C. Chen, K. Sarinnapakorn, and L. Chang · 2003
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Loci: Fast outlier detection using the local correlation integral
S. Papadimitriou, H. Kitagawa, P. B. Gibbons, and C. Faloutsos · 2003
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Discovering cluster-based local outliers
Z. He, X. Xu, and S. Deng · 2003
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Leveraging a common representation for personalized search and summarization in a medical digital library
K. R. McKeown, N. Elhadad, and V. Hatzivassiloglou · 2003
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Surviving information overload how to find, filter, and focus on what’s important (Crisp Learning, 2004)
O. Pollar · 2004
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Rouge: A package for automatic evaluation of summaries
C.-Y. Lin · 2004
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Legal text summarization by exploration of the thematic structure and argumentative roles
A. Farzindar and G. Lapalme · 2004
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Lexrank: Graph-based lexical centrality as salience in text summarization
G. Erkan and D. R. Radev · 2004
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Farsisum-a persian text summarizer
M. Hassel and N. Mazdak · 2004
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Facilitating email thread access by extractive summary generation
A. Nenkova and A. Bagga · 2004
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Textrank: Bringing order into text
R. Mihalcea and P. Tarau · 2004
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Query based event extraction along a timeline
H. L. Chieu and Y. K. Lee · 2004
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Event threading within news topics
R. Nallapati, A. Feng, F. Peng, and J. Allan · 2004
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Apprenticeship learning via inverse reinforcement learning
P. Abbeel and A. Y. Ng · 2004
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The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis
P. Pirolli and S. Card · 2005
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Generating tailored textual summaries from ontologies
K. Bontcheva · 2005
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Scalable clustering on the data grid
P. Wendel, M. Ghanem, and Y. Guo · 2005
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Summarization from medical documents: a survey
S. Afantenos, V. Karkaletsis, and P. Stamatopoulos · 2005
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Exploratory search: From finding to understanding
G. Marchionini · 2006
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Multi-document summarization for terrorism information extraction
F. L. Wang, C. C. Yang, and X. Shi · 2006
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Jump-starting concept map construction with knowledge extracted from documents
A. V. D. Leake · 2006
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Computer-aided summarisation-what the user really wants
C. Orasan and L. Hasler · 2006
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Learning weighted metrics to minimize nearest-neighbor classification error
R. Paredes and E. Vidal · 2006
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Aggregation via set partitioning for natural language generation
R. Barzilay and M. Lapata · 2006
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Ranking outliers using symmetric neighborhood relationship
W. Jin, A. K. Tung, J. Han, and W. Wang · 2006
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Summarizing drug information in medline citations
M. Fiszman, T. C. Rindflesch, and H. Kilicoglu · 2006
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A survey on automatic text summarization
D. Das and A. F. Martins · 2007
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Modelling compression with discourse constraints
J. Clarke and M. Lapata · 2007
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The use of domain-specific concepts in biomedical text summarization
L. H. Reeve, H. Han, and A. D. Brooks · 2007
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Yago: a core of semantic knowledge
F. M. Suchanek, G. Kasneci, and G. Weikum · 2007
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Qcs: A system for querying, clustering and summarizing documents
D. M. Dunlavy, D. P. O’Leary, J. M. Conroy, and J. D. Schlesinger · 2007
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Document summarization using conditional random fields
D. Shen, J.-T. Sun, H. Li, Q. Yang, and Z. Chen · 2007
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Hierarchical summarizing and evaluating for web pages
K. Takahashi, T. Miura, and I. Shioya · 2007
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Duc in context
P. Over, H. Dang, and D. Harman · 2007
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Triplet extraction from sentences
D. Rusu, L. Dali, B. Fortuna, M. Grobelnik, and D. Mladenic · 2007
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Summarization–compressing data into an informative representation
V. Chandola and V. Kumar · 2007
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Capabilities of outlier detection schemes in large datasets, framework and methodologies
J. Tang, Z. Chen, A. W. Fu, and D. W. Cheung · 2007
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Aspect-based personalized text summarization
S. Berkovsky, T. Baldwin, and I. Zukerman · 2008
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Automatic text summarization (the state of the art 2007 and new challenges)
K. Ježek and J. Steinberger · 2008
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Generating impact-based summaries for scientific literature
Q. Mei and C. Zhai · 2008
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Building domain ontologies from text for educational purposes
A. Zouaq and R. Nkambou · 2008
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Open information extraction from the web
O. Etzioni, M. Banko, S. Soderland, and D. S. Weld · 2008
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Exploring the analytical processes of intelligence analysts
G. Chin Jr, O. A. Kuchar, and K. E. Wolf · 2009
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On the limits of sentence compression by deletion
E. Marsi, E. Krahmer, I. Hendrickx, and W. Daelemans · 2009
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Using domain knowledge for text summarization in medical domain
K. Sarkar · 2009
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Interactive football summarization (2009)
B. B. Moon · 2009
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Ga, mr, ffnn, pnn and gmm based models for automatic text summarization
M. A. Fattah and F. Ren · 2009
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Studies on graph based approaches for single and multi-document summarizations
S. Hariharan and R. Srinivasan · 2009
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Exploring content models for multi-document summarization
A. Haghighi and L. Vanderwende · 2009
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An integrated multi-document summarization approach based on word hierarchical representation
Y. Ouyang, W. Li, and Q. Lu · 2009
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Concept extraction from student essays, towards concept map mining
J. Villalon and R. A. Calvo · 2009
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A new sentence similarity measure and sentence based extractive technique for automatic text summarization
R. M. Aliguliyev · 2009
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Active learning literature survey
B. Settles · 2009
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Police innovation and crime prevention: Lessons learned from police research over the past 20 years (2015)
A. A. Braga and D. L. Weisburd · 2015
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DREAM: distributed RDF engine with adaptive query planner and minimal communication
M. Hammoud, D. A. Rabbou, R. Nouri, S. Beheshti, and S. Sakr · 2015
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new/s/leak–information extraction and visualization for investigative data journalists
S. M. Yimam, H. Ulrich, T. von Landesberger, M. Rosenbach, M. Regneri, A. Panchenko, F. Lehmann, U. Fahrer, C. Biemann, and K. Ballweg · 2016
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Desiderata for exploratory search interfaces to web archives in support of scholarly activities
A. Jackson, J. Lin, I. Milligan, and N. Ruest · 2016
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Language as a latent variable: Discrete generative models for sentence compression
Y. Miao and P. Blunsom · 2016
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An innovative sampling method for massive data reduction in data mining
S. Ghodratnama and M. SadrAldini · 2009
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Loop: local outlier probabilities
H.-P. Kriegel, P. Kröger, E. Schubert, and A. Zimek · 2009
Cited alongside, same era.
Automatic summarization of medline citations for evidence-based medical treatment: a topic-oriented evaluation
M. Fiszman, D. Demner-Fushman, H. Kilicoglu, and T. C. Rindflesch · 2009
Cited alongside, same era.
A survey of text summarization extractive techniques
V. Gupta and G. S. Lehal · 2010
Cited alongside, same era.
Automatic query-based personalized summarization that uses pseudo relevance feedback with nmf
S. Park and D. U. An · 2010
Cited alongside, same era.
Summarizing microblogs automatically
B. Sharifi, M.-A. Hutton, and J. Kalita · 2010
Cited alongside, same era.
Abstractive compression of captions with attentive recurrent neural networks (2016)
S. Wubben, E. Krahmer, A. van den Bosch, and S. Verberne · 2016
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Customer opinion summarization based on twitter conversations
R. Othman, R. Belkaroui, and R. Faiz · 2016
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Neural summarization by extracting sentences and words
J. Cheng and M. Lapata · 2016
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Automatic construction of concept maps from texts
C. Z. Aguiar, D. Cury, and A. Zouaq · 2016
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Stochastic structured prediction under bandit feedback
A. Sokolov, J. Kreutzer, S. Riezler, and C. Lo · 2016
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k*-nearest neighbors: From global to local
O. Anava and K. Levy · 2016
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Classification of clinically useful sentences in clinical evidence resources
M. A. Morid, M. Fiszman, K. Raja, S. R. Jonnalagadda, and G. Del Fiol · 2016
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Comparison of automatic summarisation methods for clinical free text notes
H. Moen, L.-M. Peltonen, J. Heimonen, A. Airola, T. Pahikkala, T. Salakoski, and S. Salanterä · 2016
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Hierarchical attention networks for document classification
Z. Yang, D. Yang, C. Dyer, X. He, A. Smola, and E. Hovy · 2016
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Process Analytics - Concepts and Techniques for Querying and Analyzing Process Data (Springer, 2016)
S. Beheshti, B. Benatallah, S. Sakr, D. Grigori, H. R. Motahari-Nezhad, M. C. Barukh, A. Gater, and S. H. Ryu · 2016
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Scalable graph-based OLAP analytics over process execution data
S. Beheshti, B. Benatallah, and H. R. Motahari-Nezhad · 2016
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Galaxy: A platform for explorative analysis of open data sources
S. Beheshti, B. Benatallah, and H. R. Motahari-Nezhad · 2016
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Integrated legal information retrieval: new developments and educational challenges
K. van Noortwijk · 2017
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Recent automatic text summarization techniques: a survey
M. Gambhir and V. Gupta · 2017
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Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
R. Nallapati, F. Zhai, and B. Zhou · 2017
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Text summarization techniques: a brief survey
M. Allahyari, S. Pouriyeh, M. Assefi, S. Safaei, E. D. Trippe, J. B. Gutierrez, and K. Kochut · 2017
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Integrating extractive and abstractive models for long text summarization
S. Wang, X. Zhao, B. Li, B. Ge, and D. Tang · 2017
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Interactive abstractive summarization for event news tweets
O. Shapira, H. Ronen, M. Adler, Y. Amsterdamer, J. Bar-Ilan, and I. Dagan · 2017
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Joint optimization of user-desired content in multi-document summaries by learning from user feedback
P. Avinesh and C. M. Meyer · 2017
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Bandit structured prediction for neural sequence-to-sequence learning
J. Kreutzer, A. Sokolov, and S. Riezler · 2017
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Enriching word vectors with subword information
P. Bojanowski, E. Grave, A. Joulin, and T. Mikolov · 2017
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Method and system for confident anomaly detection in computer network traffic (2017)
I. Balabine and A. Velednitsky · 2017
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A systematic review and comparative analysis of cross-document coreference resolution methods and tools
S. Beheshti, B. Benatallah, S. Venugopal, S. H. Ryu, H. R. Motahari-Nezhad, and W. Wang · 2017
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Quantifying the informativeness for biomedical literature summarization: An itemset mining method
M. Moradi and N. Ghadiri · 2017
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Coredb: a data lake service
A. Beheshti, B. Benatallah, R. Nouri, V. M. Chhieng, H. Xiong, and X. Zhao · 2017
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On automating basic data curation tasks
S. Beheshti, A. Tabebordbar, B. Benatallah, and R. Nouri · 2017
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isheets: a spreadsheet-based machine learning development platform for data-driven process analytics
F. Amouzgar, A. Beheshti, S. Ghodratnama, B. Benatallah, J. Yang, and Q. Z. Sheng · 2018
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A language model based evaluator for sentence compression
Y. Zhao, Z. Luo, and A. Aizawa · 2018
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An operation network for abstractive sentence compression
N. Yu, J. Zhang, M. Huang, and X. Zhu · 2018
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Qmos: Query-based multi-documents opinion-oriented summarization
A. Abdi, S. M. Shamsuddin, and R. M. Aliguliyev · 2018
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Effective aggregation of various summarization techniques
P. Mehta and P. Majumder · 2018
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Learning to extract coherent summary via deep reinforcement learning
Y. Wu and B. Hu · 2018
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Ranking sentences for extractive summarization with reinforcement learning
S. Narayan, S. B. Cohen, and M. Lapata · 2018
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Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach
J. M. Sanchez-Gomez, M. A. Vega-Rodríguez, and C. J. Pérez · 2018
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A hierarchical structured self-attentive model for extractive document summarization (hssas)
K. Al-Sabahi, Z. Zuping, and M. Nadher · 2018
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Banditsum: Extractive summarization as a contextual bandit
Y. Dong, Y. Shen, E. Crawford, H. van Hoof, and J. C. K. Cheung · 2018
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Multi-reward reinforced summarization with saliency and entailment
R. Pasunuru and M. Bansal · 2018
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A deep reinforced model for abstractive summarization
R. Paulus, C. Xiong, and R. Socher · 2018
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Improving abstraction in text summarization
W. Kryściński, R. Paulus, C. Xiong, and R. Socher · 2018
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Sumitup: A hybrid single-document text summarizer
I. K. Bhat, M. Mohd, and R. Hashmy · 2018
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A click sequence model for web search
A. Borisov, M. Wardenaar, I. Markov, and M. de Rijke · 2018
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Can neural machine translation be improved with user feedback?
J. Kreutzer, S. Khadivi, E. Matusov, and S. Riezler · 2018
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Counterfactual learning from human proofreading feedback for semantic parsing
C. Lawrence and S. Riezler · 2018
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Estimating summary quality with pairwise preferences
M. Zopf · 2018
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Y. Gao, C. M. Meyer, and I. Gurevych · 2018
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The price of debiasing automatic metrics in natural language evaluation
A. T. Chaganty, S. Mussman, and P. Liang · 2018
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J. Kreutzer, J. Uyheng, and S. Riezler · 2018
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Different approaches for identifying important concepts in probabilistic biomedical text summarization
M. Moradi and N. Ghadiri · 2018
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Cibs: A biomedical text summarizer using topic-based sentence clustering
M. Moradi · 2018
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icop: Iot-enabled policing processes
F. Schiliro, A. Beheshti, S. Ghodratnama, F. Amouzgar, B. Benatallah, J. Yang, Q. Z. Sheng, F. Casati, and H. R. Motahari-Nezhad · 2018
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iprocess: Enabling iot platforms in data-driven knowledge-intensive processes
A. Beheshti, F. Schiliro, S. Ghodratnama, F. Amouzgar, B. Benatallah, J. Yang, Q. Z. Sheng, F. Casati, and H. R. Motahari-Nezhad · 2018
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Corekg: a knowledge lake service
A. Beheshti, B. Benatallah, R. Nouri, and A. Tabebordbar · 2018
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Crowdcorrect: A curation pipeline for social data cleansing and curation
A. Beheshti, K. Vaghani, B. Benatallah, and A. Tabebordbar · 2018
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irecruit: Towards automating the recruitment process
U. Shahbaz, A. Beheshti, S. Nobari, Q. Qu, H. Paik, and M. Mahdavi · 2018
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Processatlas: A scalable and extensible platform for business process analytics
A. Beheshti, B. Benatallah, and H. R. Motahari-Nezhad · 2018
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Automatic Structured Text Summarization with Concept Maps
T. Falke · 2019
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Automatic text summarization: What has been done and what has to be done
A. Aries, W. K. Hidouci, et al · 2019
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Natsum: Narrative abstractive summarization through cross-document timeline generation
C. Barros, E. Lloret, E. Saquete, and B. Navarro-Colorado · 2019
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Srl-esa-textsum: A text summarization approach based on semantic role labeling and explicit semantic analysis
M. Mohamed and M. Oussalah · 2019
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Enhancing unsupervised neural networks based text summarization with word embedding and ensemble learning
N. Alami, M. Meknassi, and N. En-nahnahi · 2019
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Pso-based text summarization approach using sentiment analysis
S. Mandal, G. K. Singh, and A. Pal · 2019
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Enhanced continuous and discrete multi objective particle swarm optimization for text summarization
V. Priya and K. Umamaheswari · 2019
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Fuzzy logic based multi document summarization with improved sentence scoring and redundancy removal technique
D. Patel, S. Shah, and H. Chhinkaniwala · 2019
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Reward learning for efficient reinforcement learning in extractive document summarisation
Y. Gao, C. M. Meyer, M. Mesgar, and I. Gurevych · 2019
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A survey on evaluation of summarization methods
L. Ermakova, J. V. Cossu, and J. Mothe · 2019
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Performance analysis of modified shuffled frog leaping algorithm for multi-document summarization problem
R. Rautray, R. Dash, and R. Dash · 2019
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Data summarization: a survey
M. Ahmed · 2019
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Intelligent big data summarization for rare anomaly detection
M. Ahmed · 2019
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Intelligent knowledge lakes: The age of artificial intelligence and big data
A. Beheshti, B. Benatallah, Q. Z. Sheng, and F. Schiliro · 2019
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Datasynapse: A social data curation foundry
A. Beheshti, B. Benatallah, A. Tabebordbar, H. R. Motahari-Nezhad, M. C. Barukh, and R. Nouri · 2019
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Conceptmap: A conceptual approach for formulating user preferences in large information spaces
A. Tabebordbar, A. Beheshti, and B. Benatallah · 2019
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Towards context-aware social behavioral analytics
A. Beheshti, V. M. Hashemi, and S. Yakhchi · 2019
Later among the works it cites.
Extractive document summarization based on dynamic feature space mapping
S. Ghodratnama, A. Beheshti, M. Zakershahrak, and F. Sobhanmanesh · 2020
Later among the works it cites.
Deep feature learnt by conventional deep neural network
H. Niu, W. Xu, H. Akbarzadeh, H. Parvin, A. Beheshti, and H. Alinejad-Rokny · 2020
Later among the works it cites.
Experimental analysis of multiple criteria for extractive multi-document text summarization
J. M. Sanchez-Gomez, M. A. Vega-Rodríguez, and C. J. Perez · 2020
Later among the works it cites.
Automatic text summarization: A comprehensive survey
W. S. El-Kassas, C. R. Salama, A. A. Rafea, and H. K. Mohamed · 2020
Later among the works it cites.
Text summarization method based on double attention pointer network
Z. Li, Z. Peng, S. Tang, C. Zhang, and H. Ma · 2020
Later among the works it cites.
Content-based image retrieval using feature weighting and c-means clustering in a multi-label classification framework
S. Ghodratnama and H. A. Moghaddam · 2020
Later among the works it cites.
A novel cognitive computing technique using convolutional networks for automating the criminal investigation process in policing
F. Schiliro, A. Beheshti, and N. Moustafa · 2020
Later among the works it cites.
M. Zakershahrak and S. Ghodratnama · 2020
Later among the works it cites.
Order matters: Generating progressive explanations for planning tasks in human-robot teaming
M. Zakershahrak, S. R. Marpally, A. Sharma, Z. Gong, and Y. Zhang · 2020
Later among the works it cites.
Online explanation generation for planning tasks in human-robot teaming
M. Zakershahrak, Z. Gong, N. Sadassivam, and Y. Zhang · 2020
Later among the works it cites.
istory: Intelligent storytelling with social data
A. Beheshti, A. Tabebordbar, and B. Benatallah · 2020
Later among the works it cites.
Am i rare? an intelligent summarization approach for identifying hidden anomalies
S. Ghodratnama, M. Zakershahrak, and F. Sobhanmanesh · 2020
Later among the works it cites.
Adaptive summaries: A personalized concept-based summarization approach by learning from users’ feedback
S. Ghodratnama, M. Zakershahrak, and F. Sobhanmanesh · 2020
Later among the works it cites.
Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven iot workflows
M. A. Serhani, H. T. E. Kassabi, K. Shuaib, A. N. Navaz, B. Benatallah, and A. Beheshti · 2020
Later among the works it cites.
Towards cognitive recommender systems
A. Beheshti, S. Yakhchi, S. Mousaeirad, S. M. Ghafari, S. R. Goluguri, and M. A. Edrisi · 2020
Later among the works it cites.
Towards a deep attention-based sequential recommender system
S. Yakhchi, A. Beheshti, S. M. Ghafari, M. A. Orgun, and G. Liu · 2020
Later among the works it cites.
Intelligent narrative summaries: From indicative to informative summarization
S. Ghodratnama, A. Beheshti, M. Zakershahrak, and F. Sobhanmanesh · 2021
Closest in time.
Summary2vec: Learning semantic representation of summaries for healthcare analytics
S. Ghodratnama, M. Zakershahrak, and A. Beheshti · 2021
Closest in time.
A query language for summarizing and analyzing business process data
A. Beheshti, B. Benatallah, H. R. Motahari-Nezhad, S. Ghodratnama, and F. Amouzgar · 2021
Closest in time.
Recommender systems: Challenges and opportunities in the age of big data and artificial intelligence
M. Elahi, A. Beheshti, and S. R. Goluguri · 2021
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