Heuristics: intelligent search strategies for computer problem solving
Heuristics: intelligent search strategies for computer problem solving
Communications of the ACM - Special issue on parallelism
Instance-Based Learning Algorithms
Machine Learning
Building a large-scale knowledge base for machine translation
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
The SMART and SIRE experimental retrieval systems
Readings in information retrieval
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Spoken Language Processing: A Guide to Theory, Algorithm, and System Development
Review Article: Example-based Machine Translation
Machine Translation
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Ambiguity management in natural language generation
Ambiguity management in natural language generation
The Journal of Machine Learning Research
Issues in the choice of a source for natural language generation
Computational Linguistics - Special issue on using large corpora: I
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Forest-based statistical sentence generation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Example-Based Machine Translation in the Pangloss system
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Fluency and completeness in instance-based natural language generation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Instance-based natural language generation
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Corpus-based lexical choice in natural language generation
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Evaluation metrics for generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Empirically-based control of natural language generation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Learning for semantic parsing with statistical machine translation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Constructing corpora for the development and evaluation of paraphrase systems
Computational Linguistics
Natural Language Engineering
Practical grammar-based NLG from examples
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Syntax-based grammaticality improvement using CCG and guided search
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
SemScribe: automatic generation of medical reports
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
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We investigate the use of instance-based ranking methods for surface realization in natural language generation. Our approach to instance-based natural language generation (IBNLG) employs two components: a rule system that ‘overgenerates’ a number of realization candidates from a meaning representation and an instance-based ranker that scores the candidates according to their similarity to examples taken from a training corpus. We develop an efficient search technique for identifying the optimal candidate based on a novel extension of the A* algorithm. The rule system is produced automatically from a semantically annotated fragment of the Penn Treebank II containing management succession texts. We detail the annotation scheme and grammar induction algorithm and evaluate the efficiency and output of the generator. We also discuss issues such as input coverage (completeness) and fluency that are relevant to surface generation in general.