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Tuning HeidelTime for identifying time expressions in clinical texts in English and French
2014
Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi)
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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
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
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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
2014
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers
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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
2012
Language Resources and Evaluation
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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
2018
International Conference on Computational Linguistics and Intelligent Systems
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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
2020
Recent Advances in Slavonic Natural Languages Processing
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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]
2015
arXiv
pre-print
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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
2022
European Conference on Information Retrieval
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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
2022
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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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
2017
International Conference on Legal Knowledge and Information Systems
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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
2013
JAMIA Journal of the American Medical Informatics Association
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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]
2018
Clinical Text Mining
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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]
2013
Lecture Notes in Computer Science
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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
2015
Cognitive Studies | Études cognitives
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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
2012
Proceedings of the 2nd Temporal Web Analytics Workshop on - TempWeb '12
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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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