TIPSem (English and Spanish): Evaluating CRFs and semantic roles in TempEval-2

Authors:
Hector Llorens;Estela Saquete;Borja Navarro
Affiliations:
University of Alicante, Alicante, Spain;University of Alicante, Alicante, Spain;University of Alicante, Alicante, Spain
Venue:
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Year:
2010

Citing 7
Cited 18

EuroWordNet: a multilingual database with lexical semantic networks

EuroWordNet: a multilingual database with lexical semantic networks
Automatic labeling of semantic roles

Computational Linguistics
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking

ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Corpus-based semantic role approach in information retrieval

Data & Knowledge Engineering
SemEval-2007 task 15: TempEval temporal relation identification

SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Annotating, extracting and reasoning about time and events

Proceedings of the 2005 international conference on Annotating, extracting and reasoning about time and events

From Italian text to TimeML document via dependency parsing

CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
Time-Surfer: time-based graphical access to document content

ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Model-portability experiments for textual temporal analysis

HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Identifying event: sentiment association using lexical equivalence and co-reference approaches

RELMS '11 Proceedings of the ACL 2011 Workshop on Relational Models of Semantics
Data-driven approach based on semantic roles for recognizing temporal expressions and events in Chinese

NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Syntax-motivated context windows of morpho-lexical features for recognizing time and event expressions in natural language

NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Identification of top relevant temporal expressions in documents

Proceedings of the 2nd Temporal Web Analytics Workshop
Automatic system for identifying and categorizing temporal relations in natural language

International Journal of Intelligent Systems
Extracting temporal information from portuguese texts

PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Extracting narrative timelines as temporal dependency structures

ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Applying semantic knowledge to the automatic processing of temporal expressions and events in natural language

Information Processing and Management: an International Journal
Towards unsupervised learning of temporal relations between events

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
Time for More Languages: Temporal Tagging of Arabic, Italian, Spanish, and Vietnamese

ACM Transactions on Asian Language Information Processing (TALIP)
Methodological Review: Annotating temporal information in clinical narratives

Journal of Biomedical Informatics
MedTime: A temporal information extraction system for clinical narratives

Journal of Biomedical Informatics
Classifying temporal relations in clinical data: A hybrid, knowledge-rich approach

Journal of Biomedical Informatics
Towards generating a patient's timeline: Extracting temporal relationships from clinical notes

Journal of Biomedical Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents TIPSem, a system to extract temporal information from natural language texts for English and Spanish. TIPSem, learns CRF models from training data. Although the used features include different language analysis levels, the approach is focused on semantic information. For Spanish, TIPSem achieved the best F1 score in all the tasks. For English, it obtained the best F1 in tasks B (events) and D (event-dct links); and was among the best systems in the rest.