Automatic transformation from TIDES to TimeML annotation

Until recently, most systems performing temporal extraction and reasoning from text have focused on recognizing and normalizing temporal expressions alone, for which the TIDES annotation scheme has been adopted. Temporal awareness of a text, however, involves not only identifying the temporal expressions, but the events which these expressions anchor, as well as other events which must be ordered relative to them. Because of these broader concerns, TimeML has been developed as an annotation specification that encompasses not only temporal expressions, but all temporally relevant aspects of a text. The annotation schemes, however, are not interchangeable, resulting in incompatible corpora and accompanying extraction algorithms for each standard. In this paper, we describe an automatic migration process from the TIMEX2 tags of TIDES to the TIMEX3 tags of TimeML. This transformation procedure has been implemented and evaluated with two different corpora, obtaining 93.3 and 89.2% overall F-Measure respectively.

[1]  David Ahn,et al.  The stages of event extraction , 2006 .

[2]  Rafael Muñoz,et al.  Event ordering using TERSEO system , 2004, Data Knowl. Eng..

[3]  James Pustejovsky,et al.  Temporal and Event Information in Natural Language Text , 2005, Lang. Resour. Evaluation.

[4]  James F. Allen Towards a General Theory of Action and Time , 1984, Artif. Intell..

[5]  M. de Rijke,et al.  Towards Task-Based Temporal Extraction and Recognition , 2005, Annotating, Extracting and Reasoning about Time and Events.

[6]  Inderjeet Mani,et al.  Annotating temporal information: from theory to practice , 2002 .

[7]  Sergi Cervell,et al.  Morphosyntactic analysis and parsing of unrestricted Spanish text , 1998 .

[8]  Rafael Muñoz,et al.  Combining automatic acquisition of knowledge with machine learning approaches for multilingual temporal recognition and normalization , 2008, Inf. Sci..

[9]  James Pustejovsky,et al.  Automating Temporal Annotation with TARSQI , 2005, ACL.

[10]  James Pustejovsky,et al.  TimeBank evolution as a community resource for TimeML parsing , 2007, Lang. Resour. Evaluation.

[11]  James Pustejovsky,et al.  TimeML: Robust Specification of Event and Temporal Expressions in Text , 2003, New Directions in Question Answering.

[12]  James H. Martin,et al.  CU-TMP: Temporal Relation Classification Using Syntactic and Semantic Features , 2007, Fourth International Workshop on Semantic Evaluations (SemEval-2007).

[13]  James F. Allen Maintaining knowledge about temporal intervals , 1983, CACM.

[14]  Inderjeet Mani,et al.  Guidelines for Annotating Temporal Information , 2001, HLT.

[15]  James Pustejovsky,et al.  Representing Temporal and Event Knowledge for QA Systems , 2004, New Directions in Question Answering.

[16]  Rafael Muñoz,et al.  Splitting Complex Temporal Questions for Question Answering Systems , 2004, ACL.

[17]  Robert Dale,et al.  The DANTE Temporal Expression Tagger , 2009, LTC.

[18]  James Pustejovsky,et al.  Annotating, Extracting and Reasoning About Time and Events , 2005, Annotating, Extracting and Reasoning about Time and Events.

[19]  Ying Chen,et al.  Automatic Time Expression Labeling for English and Chinese Text , 2005, CICLing.

[20]  Inderjeet Mani,et al.  SpatialML: Annotation Scheme, Corpora, and Tools , 2008, LREC.