Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Target-Text Mediated Interactive Machine Translation
Machine Translation
Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Artificial Intelligence
Statistical source channel models for natural language understanding
Statistical source channel models for natural language understanding
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Multilingual authoring using feedback texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Reversing controlled document authoring to normalize documents
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
A syntax-based statistical translation model
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Discriminative training and maximum entropy models for statistical machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Document structure and multilingual authoring
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
User-friendly text prediction for translators
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Interpreting communicative goals in constrained domains using generation and interactive negotiation
TextMean '04 Proceedings of the 2nd Workshop on Text Meaning and Interpretation
Local lexical adaptation in machine translation through triangulation: SMT helping SMT
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
| Hi-index | 0.00 |
This position paper argues for an interactive approach to text understanding. The proposed model extends an existing semantics-based text authoring system by using the input text as a source of information to assist the user in re-authoring its content. The approach permits a reliable deep semantic analysis by combining automatic information extraction with a minimal amount of human intervention.