论文信息 - SUTime: Evaluation in TempEval-3

SUTime: Evaluation in TempEval-3

We analyze the performance of SUTIME, a temporal tagger for recognizing and normalizing temporal expressions, on TempEval-3 Task A for English. SUTIME is available as part of the Stanford CoreNLP pipeline and can be used to annotate documents with temporal information. Testing on the TempEval-3 evaluation corpus showed that this system is competitive with state-of-the-art techniques.

Angel X. Chang | Christopher D. Manning

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

[2] Douglas E. Appelt,et al. FASTUS: A Cascaded Finite-State Transducer for Extracting Information from Natural-Language Text , 1997, ArXiv.

[3] Estela Saquete Boró,et al. TIPSem (English and Spanish): Evaluating CRFs and Semantic Roles in TempEval-2 , 2010, *SEMEVAL.

[4] Michael Gertz,et al. HeidelTime: High Quality Rule-Based Extraction and Normalization of Temporal Expressions , 2010, *SEMEVAL.

[5] James F. Allen,et al. TRIPS and TRIOS System for TempEval-2: Extracting Temporal Information from Text , 2010, *SEMEVAL.

[6] Inderjeet Mani,et al. Recent developments in temporal information extraction , 2003, RANLP.

[7] Tommaso Caselli,et al. SemEval-2010 Task 13: TempEval-2 , 2010, *SEMEVAL.

[8] James Pustejovsky,et al. SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations , 2013, *SEMEVAL.

[9] Angel X. Chang,et al. SUTime: A library for recognizing and normalizing time expressions , 2012, LREC.