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Tuning HeidelTime for identifying time expressions in clinical texts in English and French

Thierry Hamon, Natalia Grabar
2014 Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi)  
We achieve a 0.8500 F-measure on the recognition and normalization of temporal expressions in English, and up to 0.9431 in French. Future work will allow to improve and consolidate the results.  ...  We present work on tuning the Heideltime system for identifying time expressions in clinical texts in English and French languages.  ...  The authors are thankful to the CHU de Bordeaux for making available the clinical documents.  ... 
doi:10.3115/v1/w14-1116 dblp:conf/acl-louhi/HamonG14 fatcat:v5bhp7nrvffplpzzmynotvt3fa

A Baseline Temporal Tagger for all Languages

Jannik Strötgen, Michael Gertz
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
Temporal taggers are usually developed for a certain language. Besides English, only few languages have been addressed, and only the temporal tagger HeidelTime covers several languages.  ...  In this paper, we present an approach to extend HeidelTime to all languages in the world.  ...  Acknowledgments We thank the anonymous reviewers for their valuable comments and helpful suggestions to improve the paper and to exploit the additional page.  ... 
doi:10.18653/v1/d15-1063 dblp:conf/emnlp/StrotgenG15 fatcat:45ncsdgjxzf6phg23uigfzmupu

Chinese Temporal Tagging with HeidelTime

Hui Li, Jannik Strötgen, Julian Zell, Michael Gertz
2014 Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers  
96% 121 Related Approach Angeli and Uszkoreit [3] • discriminative parsing approach • language-independent • normalization of temporal expressions • no extraction of temporal expressions Summary  ...  (4) Iterative Rule Development • starting with (simple) English rules • checking training corpus for errors • adapting patterns, normalizations, and rules to improve results on training data // example  ... 
doi:10.3115/v1/e14-4026 dblp:conf/eacl/LiSZG14 fatcat:qd44xuze4fhxri7yasxtgjxyk4

Multilingual and cross-domain temporal tagging

Jannik Strötgen, Michael Gertz
2012 Language Resources and Evaluation  
Extraction and normalization of temporal expressions from documents are important steps towards deep text understanding and a prerequisite for many NLP tasks such as information extraction, question answering  ...  Finally, we present our publicly available temporal tagger HeidelTime, which is easily extensible to further languages due to its strict separation of source code and language resources like patterns and  ...  and domains with high accuracy in both the extraction and the normalization of temporal expressions.  ... 
doi:10.1007/s10579-012-9179-y fatcat:nti3o5mtw5av7b5hheyx3qnlxu

Automatic Detection of Temporal Information in Ukrainian General-language Texts

Natalia Grabar, Thierry Hamon
2018 International Conference on Computational Linguistics and Intelligent Systems  
It permits to detects temporal expressions, be they absolute or relative, and to normalize them. We test the adapted tool on two corpora from different genres and evaluate the results.  ...  We propose to adapt an existing tool for the automatic detection and annotation of temporal information in Ukrainian. The tool is rule-based.  ...  Adaptation of HeidelTime HeidelTime is a cross-domain temporal tagger that extracts temporal expressions from documents and normalizes them according to the TIMEX3 annotation standard, which is part of  ... 
dblp:conf/colins/GrabarH18 fatcat:lhwmqbrckvbtfnejvtvnekawja

Multilingual Recognition of Temporal Expressions

Michal Starý, Zuzana Neverilová, Jakub Valcík
2020 Recent Advances in Slavonic Natural Languages Processing  
With combination of the two approaches, we achieved F1 of 0.73 and 0.9 for strict and relaxed evaluations respectively on one English dataset.  ...  The paper presents a multilingual approach to temporal expression recognition (TER) using existing tools and their combination.  ...  This work has been partly supported by the Ministry of Education of CR within the LINDAT-CLARIAH-CZ project LM2018101.  ... 
dblp:conf/raslan/StaryNV20 fatcat:ctgt25yfwnhyzh6phkzubd6d4i

On TimeML-Compliant Temporal Expression Extraction in Turkish [article]

Dilek Küçük, Doğan Küçük
2015 arXiv   pre-print
Extraction and normalization of temporal expressions in Turkish has not been given attention so far except the extraction of some date and time expressions within the course of named entity recognition  ...  We believe that the proposed patterns, together with convenient normalization rules, can be readily used by prospective temporal expression extraction tools for Turkish.  ...  expression extraction from Turkish texts include the following: • The development of temporal expression extraction and normalization systems is an important open issue for Turkish.  ... 
arXiv:1509.00963v1 fatcat:mc4iicaf2jfg7dpw26dqxh5rwe

Time for some German? Pre-Training a Transformer-based Temporal Tagger for German

Satya Almasian, Dennis Aumiller, Michael Gertz
2022 European Conference on Information Retrieval  
Non-English languages are notorious for their lack of available resources, and temporal tagging is no exception.  ...  With this, we provide preliminary empirical evidence that indicates the suitability of transfer approaches to other low-resourced languages: A small number of gold data coupled with an existing data set  ...  A Transfer Pipeline for Temporal Tagging Temporal tagging is the task of identication of temporal expression, classication of the type and sometimes normalization of temporal values.  ... 
dblp:conf/ecir/AlmasianA022 fatcat:kzflmwtafnelrdimizvguxjbpq

Online DATEing

Dennis Aumiller, Satya Almasian, David Pohl, Michael Gertz
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
Despite more than two decades of research on temporal tagging and temporal relation extraction, usable tools for annotating text remain very basic and hard to set up from an average end-user perspective  ...  It further enables users to interactively investigate and visualize tagged texts, and is designed with an extensible API for the inclusion of new models or data formats.  ...  HeidelTime. A rule-based temporal tagger that uses temporal expression patterns, knowledge resources, and linguistic clues.  ... 
doi:10.1145/3477495.3531670 fatcat:cijcmpvw6vbp3kuqpclocu2xra

LawORDate: a Service for Distinguishing Legal References from Temporal Expressions

María Navas-Loro
2017 International Conference on Legal Knowledge and Information Systems  
The first domain is that of news, where the temporal information plays a crucial role for their understanding and automatically building timelines can be hampered by the errors induced from these legal  ...  The service identifies these references, avoiding their annotation by temporal taggers and enabling a further step of linking the references to the original sources and building co-reference graphs.  ...  Acknowledgments This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 780602.  ... 
dblp:conf/jurix/Navas-Loro17 fatcat:55uvjpugnja2jom6yyylyh4qra

Eventual situations for timeline extraction from clinical reports

Cyril Grouin, Natalia Grabar, Thierry Hamon, Sophie Rosset, Xavier Tannier, Pierre Zweigenbaum
2013 JAMIA Journal of the American Medical Informatics Association  
To identify temporal expressions we built on the HeidelTime system.  ...  Results We achieved F-measures of 0.8307 for event identification, based on rules, and 0.8385 for temporal expression identification.  ...  Funding This work was supported by ANR grant number ANR-12-CORD-0007-03 (Accordys project) and has been partly done within the framework of the Quaero project funded by Oseo, French State Agency for Research  ... 
doi:10.1136/amiajnl-2013-001627 pmid:23571851 pmcid:PMC3756272 fatcat:irq6nq6t45gf3busbgvuuerpzi

Basic Building Blocks for Clinical Text Processing [chapter]

Hercules Dalianis
2018 Clinical Text Mining  
Sentence based methods such as part-of-speech tagging, syntactical analysis or parsing, semantic analysis such as named entity recognition, negation detection, relation extraction, temporal processing  ...  This chapter will describe the basics for text processing and give an overview of standard methods or techniques: Preprocessing of texts such as tokenisation and text segmentation.  ...  HeidelTime Strötgen and Gertz (2010) developed the rule-based system temporal tagger Hei-delTime (from Heidelberg University, Germany) that extracts temporal expressions from text into the TIMEX3 format  ... 
doi:10.1007/978-3-319-78503-5_7 fatcat:pqwyc2vm2zh2vlky7bzo5da3pa

The EVALITA Dependency Parsing Task: From 2007 to 2011 [chapter]

Cristina Bosco, Alessandro Mazzei
2013 Lecture Notes in Computer Science  
EVALITA's shared tasks are aimed at contributing to the development and dissemination of natural language resources and technologies by proposing a shared context for training and evaluation.  ...  Following the success of previous editions, we organized EVALITA 2014, the fourth evaluation campaign with the aim of continuing to provide a forum for the comparison and evaluation of research outcomes  ...  This research is part of the HDOMO 2.0 project founded by the National Research Centre on Aging (INRCA) in partnership with the Government of the Marche region under the action "Smart Home for Active and  ... 
doi:10.1007/978-3-642-35828-9_1 fatcat:p6dyjaxm4zbitfajtciwclwipu

Temporal Expressions in Polish Corpus KPWr

Jan Kocoń, Michał Marcińczuk, Marcin Oleksy, Tomasz Bernaś, Michał Wolski
2015 Cognitive Studies | Études cognitives  
We prepared PLIMEX — a broad description of Polish temporal expressions with annotation guidelines, based on the state-of-the-art solutions for English, mainly TimeML specification.  ...  Temporal information, which can be extracted from text automatically, plays significant role in many information extraction systems, such as question answering, discourse analysis, event recognition and  ...  Acknowledgment Work financed by the Polish Ministry of Science and Higher Education, a program in support of scientific units involved in the development of a European research infrastructure for the humanities  ... 
doi:10.11649/cs.2015.020 fatcat:qvyolbfxanbsrfnjjjgrbhcq4q

Extraction of temporal facts and events from Wikipedia

Erdal Kuzey, Gerhard Weikum
2012 Proceedings of the 2nd Temporal Web Analytics Workshop on - TempWeb '12  
We extracted more than one million temporal facts with precision over 90% for extraction from semi-structured data and almost 70% for extraction from text. General Terms Algorithms  ...  In this paper, we introduce a complete information extraction framework that harvests temporal facts and events from semi-structured data and free text of Wikipedia articles to create a temporal ontology  ...  HeidelTime [11] is a rule-based system that uses regular expressions and knowledge resources for the extraction and normalization of temporal expressions.  ... 
doi:10.1145/2169095.2169101 dblp:conf/www/KuzeyW12 fatcat:e2ueqp64orfx3mbqdg4feod3mq
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