Towards a general theory of action and time
Artificial Intelligence
Machine learning of temporal relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Learning sentence-internal temporal relations
Journal of Artificial Intelligence Research
TimeML-compliant text analysis for temporal reasoning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Temporal annotation of clinical text
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Experiments with reasoning for temporal relations between events
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Temporal processing with the TARSQI toolkit
COLING '08 22nd International Conference on on Computational Linguistics: Demonstration Papers
Jointly combining implicit constraints improves temporal ordering
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Error analysis of the TempEval temporal relation identification task
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Predicting unknown time arguments based on cross-event propagation
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Temporal relation identification with endpoints
HLT-SRWS '10 Proceedings of the NAACL HLT 2010 Student Research Workshop
Learning script knowledge with web experiments
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
JU_CSE_TEMP: A first step towards evaluating events, time expressions and temporal relations
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Temporal Relations Learning with a Bootstrapped Cross-document Classifier
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Comparison of different algebras for inducing the temporal structure of texts
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Event-time relation identification using machine learning and rules
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Modeling reciprocity in social interactions with probabilistic latent space models
Natural Language Engineering
Syntactic tree kernels for event-time temporal relation learning
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
Using syntactic-based kernels for classifying temporal relations
Journal of Computer Science and Technology - Special issue on natural language processing
Learning causality for news events prediction
Proceedings of the 21st international conference on World Wide Web
Automatic system for identifying and categorizing temporal relations in natural language
International Journal of Intelligent Systems
Combining flat and structured approaches for temporal slot filling or: how much to compress?
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Open domain event extraction from twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Temporally anchored relation extraction
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Learning to temporally order medical events in clinical text
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Towards unsupervised learning of temporal relations between events
Journal of Artificial Intelligence Research
Learning to predict from textual data
Journal of Artificial Intelligence Research
Temporal Relation Identification and Classification in Clinical Notes
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Classifying temporal relations in clinical data: A hybrid, knowledge-rich approach
Journal of Biomedical Informatics
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This paper describes a fully automatic two-stage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attributes of single event descriptions, such as tense, grammatical aspect, and aspectual class. These imperfect guesses, combined with other linguistic features, are then used in a second stage to classify the temporal relationship between two events. We present both an analysis of our new features and results on the TimeBank Corpus that is 3% higher than previous work that used perfect human tagged features.