Towards a general theory of action and time
Artificial Intelligence
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Time, tense and aspect in natural language database interfaces
Natural Language Engineering
A semantics and pragmatics for the pluperfect
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
An empirical approach to temporal reference resolution
Journal of Artificial Intelligence Research
A Grammar-Based System to Solve Temporal Expressions in Spanish Texts
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Introduction to the special issue on temporal information processing
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on Temporal Information Processing
Event ordering using TERSEO system
Data & Knowledge Engineering - Special issue: Application of natural language to information systems (NLDB04)
Automating temporal annotation with TARSQI
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
Evaluation of an Automatic Extension of Temporal Expression Treatment to Catalan
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Multilingual extension of a temporal expression normalizer using annotated corpora
CrossLangInduction '06 Proceedings of the International Workshop on Cross-Language Knowledge Induction
Learning sentence-internal temporal relations
Journal of Artificial Intelligence Research
LAC '06 Proceedings of the Workshop on Frontiers in Linguistically Annotated Corpora 2006
Why don't Romanians have a five o'clock tea, Nor Halloween, but have a kind of Valentines day?
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop
Rule-based creation of timeML documents from dependency trees
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
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The aim of this paper is to present a language-neutral, theory-neutral method for annotating sentence-internal temporal relations. The annotation method is simple and can be applied without special training. The annotations are provided with a well-defined model-theoretic interpretation for use in the content-based comparison of annotations. Temporally annotated corpora have a number of applications, in lexicon/induction, translation and linguistic investigation. A searchable multi-language database has already been created.