Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Revision-based generation of natural language summaries providing historical background: corpus-based analysis, design, implementation and evaluation
Building natural language generation systems
Building natural language generation systems
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
High-performing feature selection for text classification
Proceedings of the eleventh international conference on Information and knowledge management
Reactive content selection in the generation of real-time soccer commentary
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Design of a knowledge-based report generator
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
A two-stage model for content determination
EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
Statistical acquisition of content selection rules for natural language generation
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Aggregation via set partitioning for natural language generation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
ACM Transactions on Speech and Language Processing (TSLP)
Get out the vote: determining support or opposition from congressional floor-debate transcripts
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Investigating content selection for language generation using machine learning
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Natural language query recommendation in conversation systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Database-text alignment via structured multilabel classification
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Learning semantic correspondences with less supervision
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Learning to tell tales: a data-driven approach to story generation
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
What's in a message?: interpreting geo-referenced data for the visually-impaired
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
A graph-theoretic framework for semantic distance
Computational Linguistics
Cautious Collective Classification
The Journal of Machine Learning Research
PageRank without hyperlinks: Structural reranking using links induced by language models
ACM Transactions on Information Systems (TOIS)
Training a multilingual sportscaster: using perceptual context to learn language
Journal of Artificial Intelligence Research
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Structural topic model for latent topical structure analysis
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
BALLGAME: a corpus for computational semantics
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
FootbOWL: using a generic ontology of football competition for planning match summaries
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Content selection from an ontology-based knowledge base for the generation of football summaries
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Detecting interesting event sequences for sports reporting
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Perspective-oriented generation of football match summaries: Old tasks, new challenges
ACM Transactions on Speech and Language Processing (TSLP)
Unsupervised concept-to-text generation with hypergraphs
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Content selection from semantic web data
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
A global model for concept-to-text generation
Journal of Artificial Intelligence Research
Generating natural language descriptions from OWL ontologies: the natural OWL system
Journal of Artificial Intelligence Research
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A content selection component determines which information should be conveyed in the output of a natural language generation system. We present an efficient method for automatically learning content selection rules from a corpus and its related database. Our modeling framework treats content selection as a collective classification problem, thus allowing us to capture contextual dependencies between input items. Experiments in a sports domain demonstrate that this approach achieves a substantial improvement over context-agnostic methods.