Medical Language Processing: Computer Management of Narrative Data
Medical Language Processing: Computer Management of Narrative Data
Distinguishing fact from opinion and events from meta-events
ANLC '83 Proceedings of the first conference on Applied natural language processing
A model-theoretic coreference scoring scheme
MUC6 '95 Proceedings of the 6th conference on Message understanding
Exploiting redundancy in question answering
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Identifying semantic relations in text
Exploring artificial intelligence in the new millennium
The need for accurate alignment in natural language system evaluation
Computational Linguistics
Automatic language and information processing: rethinking evaluation
Natural Language Engineering
RCV1: A New Benchmark Collection for Text Categorization Research
The Journal of Machine Learning Research
Chinese named entity recognition based on multiple features
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
An adaptive approach to named entity extraction for meeting applications
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Leveraging context in user-centric entity detection systems
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Handling Conjunctions in Named Entities
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Applying Machine Learning to Chinese Entity Detection and Tracking
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Answer type validation in question answering systems
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Building a coreference-annotated corpus from the domain of biochemistry
BioNLP '11 Proceedings of BioNLP 2011 Workshop
Filtering and clustering relations for unsupervised information extraction in open domain
Proceedings of the 20th ACM international conference on Information and knowledge management
A probabilistic feature based maximum entropy model for chinese named entity recognition
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Evaluating semantic evaluations: how RTE measures up
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Gesture features for coreference resolution
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
ZamAn and raqm: extracting temporal and numerical expressions in arabic
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Coupled hierarchical IR and stochastic models for surface information extraction
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Anaphoric reference in clinical reports: Characteristics of an annotated corpus
Journal of Biomedical Informatics
Measuring the use of factual information in test-taker essays
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
Finding answers in the Œdipe system by extracting and applying linguistic patterns
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
| Hi-index | 0.00 |
The sixth in a series of "Message Understanding Conferences", which are designed to promote and evaluate research in information extraction, was held last fall. MUC-6 introduced several innovations over prior MUCs, most notably in the range of different tasks for which evaluations were conducted. We describe the development of the "message understanding" task over the course of the prior MUCs, some of the motivations for the new format, and the steps which led up to the formal evaluation.