Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/springer-journals/time-expression-and-named-entity-recognition-literature-review-21aAHhynBd
References (26)
-
Jannik Strotgen, Ayser Armiti, T. Canh, Julian Zell, Michael Gertz (2014)
Time for More LanguagesACM Transactions on Asian Language Information Processing (TALIP), 13
-
Prateek Jindal, D. Roth (2013)
Extraction of events and temporal expressions from clinical narrativesJournal of biomedical informatics, 46 Suppl
-
David Nadeau, S. Sekine (2007)
A survey of named entity recognition and classificationLingvisticae Investigationes, 30
-
Weiyi Sun, Anna Rumshisky, Özlem Uzuner (2013)
Annotating temporal information in clinical narrativesJournal of biomedical informatics, 46 Suppl
-
Haihong Guo, Xu Na, Jiao Li (2018)
Qcorp: an annotated classification corpus of Chinese health questionsBMC Medical Informatics and Decision Making, 18
-
Weiyi Sun, Anna Rumshisky, Özlem Uzuner (2013)
Evaluating temporal relations in clinical text: 2012 i2b2 ChallengeJournal of the American Medical Informatics Association : JAMIA, 20 5
-
Jason Chiu, Eric Nichols (2015)
Named Entity Recognition with Bidirectional LSTM-CNNsTransactions of the Association for Computational Linguistics, 4
-
IV WilliamF.Styler, Steven Bethard, S. Finan, Martha Palmer, Sameer Pradhan, P. Groen, B. Erickson, Timothy Miller, Chen Lin, G. Savova, J. Pustejovsky (2014)
Temporal Annotation in the Clinical DomainTransactions of the Association for Computational Linguistics, 2
-
S. Sohn, K. Wagholikar, Dingcheng Li, Siddhartha Jonnalagadda, C. Tao, K. Ravikumar, Hongfang Liu (2013)
Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identificationJournal of the American Medical Informatics Association : JAMIA, 20 5
-
Buzhou Tang, Yonghui Wu, Min Jiang, Yukun Chen, J. Denny, Hua Xu (2013)
A hybrid system for temporal information extraction from clinical textJournal of the American Medical Informatics Association : JAMIA, 20 5
-
S. Jang, Jennifer Baldwin, I. Mani (2004)
Automatic TIMEX2 tagging of Korean newsACM Trans. Asian Lang. Inf. Process., 3
-
James Henderson, Paola Merlo, Ivan Titov, G. Musillo (2013)
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable ModelComputational Linguistics, 39
-
Jannik Strotgen, Michael Gertz (2013)
Multilingual and cross-domain temporal taggingLanguage Resources and Evaluation, 47
-
Weiyi Sun, Anna Rumshisky, Özlem Uzuner (2015)
Normalization of Relative and Incomplete Temporal Expressions in Clinical NarrativesJournal of the American Medical Informatics Association : JAMIA, 22 5
-
J. Katz, J. Fodor (1963)
The structure of a semantic theoryLanguage, 39
-
Xiaoshi Zhong, E. Cambria, A. Hussain (2020)
Extracting Time Expressions and Named Entities with Constituent-Based Tagging SchemesCognitive Computation
-
Egoitz Laparra, Dongfang Xu, Steven Bethard (2018)
From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time NormalizationsTransactions of the Association for Computational Linguistics, 6
-
Michele Filannino, G. Nenadic (2015)
Temporal expression extraction with extensive feature type selection and a posteriori label adjustmentData Knowl. Eng., 100
-
Kam-Fai Wong, Yunqing Xia, Wenjie Li, C. Yuan (2005)
An Overview of Temporal Information ExtractionInt. J. Comput. Process. Orient. Lang., 18
-
Kirk Roberts, Bryan Rink, S. Harabagiu (2013)
A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical textJournal of the American Medical Informatics Association : JAMIA, 20 5
-
Cyril Grouin, N. Grabar, Thierry Hamon, S. Rosset, Xavier Tannier, Pierre Zweigenbaum (2013)
Eventual situations for timeline extraction from clinical reportsJournal of the American Medical Informatics Association : JAMIA, 20 5
-
Xavier Lluís, X. Carreras, Lluís Villodre (2013)
Joint Arc-factored Parsing of Syntactic and Semantic DependenciesTransactions of the Association for Computational Linguistics, 1
-
Yan Xu, Yining Wang, Tianren Liu, Junichi Tsujii, E. Chang (2013)
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challengeJournal of the American Medical Informatics Association : JAMIA, 20 5
-
Yu-Kai Lin, Hsinchun Chen, Randall Brown (2013)
MedTime: A temporal information extraction system for clinical narrativesJournal of biomedical informatics, 46 Suppl
-
B. Boguraev, J. Pustejovsky, R. Ando, M. Verhagen (2007)
TimeBank evolution as a community resource for TimeML parsingLanguage Resources and Evaluation, 41
-
Jennifer D'Souza, Vincent Ng (2013)
Classifying temporal relations in clinical data: A hybrid, knowledge-rich approachJournal of biomedical informatics, 46 Suppl
- Publisher
- Springer International Publishing
- Copyright
- © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
- ISBN
- 978-3-030-78960-2
- Pages
- 15 –34
- DOI
- 10.1007/978-3-030-78961-9_2
- Publisher site
- See Chapter on Publisher Site
Abstract
[Time expressions and named entities play important roles in data mining, natural language processing, and cognitive computation. Researchers from these areas have devoted considerable effort in the last two decades to define the problem of time expression analysis, design the standards for time expression annotation, build annotated corpora for time expressions, and develop methods to identify time expressions from free text. In this literature review, we go through the previous works, aiming to draw an overview of the development of time expression and named entity analysis in different aspects, such as language factor, domain and textual type, types of time expressions, and the evaluation and resources for the time expression analysis as well as methods that researchers develop for time expression recognition and normalization, named entity recognition and classification. In addition, we also review the development of jointly modeling multiple syntactic and semantic tasks.]
Published: Jun 7, 2021
Keywords: Time expressions; Named entities; Rule-based methods; Learning-based methods; Syntactic tasks; Semantic tasks