Filters








135,969 Hits in 5.1 sec

Extracting Events and Temporal Expressions from Text

Naushad UzZaman, James F. Allen
2010 2010 IEEE Fourth International Conference on Semantic Computing  
In this paper, we present a first step, a system for extracting event, event features, temporal expression and its normalized values from raw text.  ...  Extracting temporal information from raw text is fundamental for deep language understanding, and key to many applications like question answering, information extraction, and document summarization.  ...  We presented our work on extracting temporal information from raw text.  ... 
doi:10.1109/icsc.2010.45 dblp:conf/semco/UzZamanA10 fatcat:dkqlvm2w5jdmvlvskwn2o5xlla

EVENT AND TEMPORAL EXPRESSION EXTRACTION FROM RAW TEXT: FIRST STEP TOWARDS A TEMPORALLY AWARE SYSTEM

NAUSHAD UZZAMAN, JAMES F. ALLEN
2010 International Journal of Semantic Computing (IJSC)  
In this paper, we present a first step, a system for extracting events, event features, main events, temporal expressions and their normalized values from raw text.  ...  Extracting temporal information from raw text is fundamental for deep language understanding, and key to many applications like question answering, information extraction, and document summarization.  ...  Lexical and Penn tag features Run the classifier with lexical features and penn tag, previous pos and next Extracting Events and Temporal Expressions from Text classifier with features from 4-LPV + verb  ... 
doi:10.1142/s1793351x10001097 fatcat:xqiwkbs635chxgsxrtikctpnoi

Reasoning in Legal Text Documents with Extracted Event Information

Venkateswrlu Naik. M, Vanitha Guda, Inturi Srujana
2011 International Journal of Computer Applications  
Extracting Events, Time Expressions and Named Entities from Legal text is fundamental aspect for deep language understanding and key to various applications such as Temporal Reasoning in Criminal Documents  ...  In this paper, we are focusing about automatic extraction of Quantitative, Qualitative time's information and from Legal Text Documents, along with this Legal text expressed in natural language can be  ...  Legal Document Text along with ubiquitous events and all bold blue color words are extracts as events from the document.  ... 
doi:10.5120/3402-4742 fatcat:2fs573tbu5hirnniyjkwv4ia3a

Temporal reasoning over clinical text: the state of the art

Weiyi Sun, Anna Rumshisky, Ozlem Uzuner
2013 JAMIA Journal of the American Medical Informatics Association  
Scope We review the major applications of text-based temporal reasoning, describe the challenges for software systems handling temporal information in clinical text, and give an overview of the state of  ...  Target audience This overview targets medical informatics researchers who are unfamiliar with the problems and applications of temporal reasoning over clinical text.  ...  The system then extracts events, temporal expressions, and temporal relations from the parsed sentences.  ... 
doi:10.1136/amiajnl-2013-001760 pmid:23676245 pmcid:PMC3756277 fatcat:e4ehiljfcfekhlklclj2lbiebe

TRIPS and TRIOS System for TempEval-2: Extracting Temporal Information from Text

Naushad UzZaman, James F. Allen
2010 International Workshop on Semantic Evaluation  
Our system is notable in that for tasks C -F, they operated on raw text while all other systems used tagged events and temporal expressions in the corpus as input.  ...  Extracting temporal information from raw text is fundamental for deep language understanding, and key to many applications like question answering, information extraction, and document summarization.  ...  We are also very thankful to Marc Verhagen and other organizers and annotators of TempEval-2 challenge for organizing a very successful event and also for being very cooperative.  ... 
dblp:conf/semeval/UzZamanA10 fatcat:htvthgwxd5bzfprxaevkk7fisu

Extraction of Temporal Structures for Clinical Events in Unlabeled Free-Text Electronic Health Records in Russian [chapter]

Anastasia A. Funkner, Dmitrii A. Zhurman, Sergey V. Kovalchuk
2021 Studies in Health Technology and Informatics  
On this dataset, the accuracy of extracting temporal expressions is 95,5%, and the accuracy of normalization is 94%. The event extraction accuracy is 74.80%.  ...  In this work, we propose and evaluate a hybrid approach based on rules and syntactical analysis to normalise temporal expressions and assess uncertainty depending on the remoteness of the event.  ...  Extraction of temporal expressions from electronic health records (EHR) helps restore the chronology of the patient's diseases and order all his/her events on a timeline.  ... 
doi:10.3233/shti210811 pmid:34795079 fatcat:aqvwgatjone5hjcdor5s2jpwya

A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts

Tianyong Hao, Xiaoyi Pan, Zhiying Gu, Yingying Qu, Heng Weng
2018 BMC Medical Informatics and Decision Making  
Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing.  ...  Methods: A novel method called TEER is proposed for both multi-lingual temporal expression extraction and normalization from various types of narrative clinical texts including clinical data requests,  ...  There are a number of research and systems for English temporal expression extraction from clinical texts.  ... 
doi:10.1186/s12911-018-0595-9 pmid:29589563 pmcid:PMC5872502 fatcat:jjux5wwb4jfcxlz32jo6ndfpku

TNorm: A Pattern Learning Approach for Temporal Expression Classification and Normalization from Chinese Narrative Clinical Texts (Preprint)

Xiaoyi Pan, Boyu Chen, Heng Weng, Yongyi Gong, Yingying Qu
2019 JMIR Medical Informatics  
The goal of the study was to propose a novel approach for extracting and normalizing temporal expressions from Chinese narrative clinical text.  ...  This study illustrates an automatic approach, TNorm, that extracts and normalizes temporal expression from Chinese narrative clinical texts.  ...  The TEs extracted and normalized by TNorm could be used to generate a corresponding medical events timeline from Chinese narrative clinical texts.  ... 
doi:10.2196/17652 pmid:32716307 fatcat:3dvqvqev2rf2jopuvyf27yjlj4

Extending an Information Retrieval System through Time Event Extraction

Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro, Lucia Siciliani
2014 International Conference of the Italian Association for Artificial Intelligence  
Information about temporal events is automatically extracted from text at indexing time and stored in an ad-hoc data structure exploited by the retrieval module for searching relevant documents.  ...  In this paper we propose an innovative Information Retrieval system able to manage temporal information. The system allows temporal constraints in a classical keyword-based search.  ...  Acknowledgements This work fulfils the research objectives of the projects PON 01 00850 ASK-Health (Advanced System for the interpretation and sharing of knowledge in health care) and PON 02 00563 3470993  ... 
dblp:conf/aiia/BasileCSS14a fatcat:fofp5mrsybbqfgria42dlfxsui

Temporal Information Processing: A Survey

Ines Berrazega
2012 International Journal on Natural Language Computing  
This later trend consists on the automatic extraction of events and temporal expressions.  ...  In this paper, we give a survey of Temporal Information Extraction from Natural Language texts.  ...  In fact, extracting temporal information from texts is valuable in many NLP tasks like Question Answering, Summarization, and Information Extraction.  ... 
doi:10.5121/ijnlc.2012.1201 fatcat:qbztap6kyvbkvhgwa2jwtrmkeq

Building Graph for Events and Time in Natural Language Text

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In this paper, we present events-time graph as a new way of construction for event-time based information from text.  ...  In this event-time graph nodes are events, whereas edges represent the temporal and co-reference relations between events.  ...  can recognize and extract events from the given text.  ... 
doi:10.35940/ijitee.c8419.019320 fatcat:56pw2dptwjfandagdfepydbxhe

A Novel Model for Timed Event Extraction and Temporal Reasoning In Legal Text Documents

Kolikipogu Ramakrishna, Vanitha Guda, B Padmaja Rani, Vinaya Ch
2011 International Journal of Computer Science & Engineering Survey  
In this paper we build a novel model for timed event extraction and temporal reasoning in legal text documents.  ...  The resultant information resolves temporal expressions and deals with issues such as granularity, vagueness, and a reasoning mechanism which models the temporal constraint satisfaction network.  ...  Modelling Temporal Constraint Network After extracting, representation of the temporal information and events from the actual legal text documents is an appropriate computational mechanism needed for automatic  ... 
doi:10.5121/ijcses.2011.2103 fatcat:pud7n5nca5clrn7oqm4vtvkady

A hybrid system for temporal information extraction from clinical text

Buzhou Tang, Yonghui Wu, Min Jiang, Yukun Chen, Joshua C Denny, Hua Xu
2013 JAMIA Journal of the American Medical Informatics Association  
Objective To develop a comprehensive temporal information extraction system that can identify events, temporal expressions, and their temporal relations in clinical text.  ...  Our system consists of three modules: event extraction, temporal expression extraction, and temporal relation (also called Temporal Link, or 'TLink') extraction.  ...  Institute (NHLBI), and by award number 1R13LM01141101 from the NLM.  ... 
doi:10.1136/amiajnl-2013-001635 pmid:23571849 pmcid:PMC3756274 fatcat:c2punx4abngdlp2mjveldyuriu

Task-Oriented Extraction of Temporal Information: The Case of Clinical Narratives

R. Gaizauskas, H. Harkema, M. Hepple, A. Setzer
2006 Thirteenth International Symposium on Temporal Representation and Reasoning (TIME'06)  
Most recent work on temporal relation extraction from text has addressed text drawn from the newswire domain and has attempted to extract all temporal relational information, as specified by proposed temporal  ...  We describe the task, the corpus and evaluation data we have assembled, a baseline algorithm for extracting temporal relations between temporal expressions and clinical investigation events, and present  ...  College London, the Open University, the University of Cambridge, the Royal Marsden Hospital and the London Institute of Genetic Medicine.  ... 
doi:10.1109/time.2006.27 dblp:conf/time/GaizauskasHHS06 fatcat:x7fjlgh7aze4phvw25wpcyjal4

Extraction of temporal facts and events from Wikipedia

Erdal Kuzey, Gerhard Weikum
2012 Proceedings of the 2nd Temporal Web Analytics Workshop on - TempWeb '12  
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  ...  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  ...  TEMPORAL FACT AND EVENT EXTRAC-TION FROM SEMI-STRUCTURED DATA The temporal fact extraction from Wikipedia consists of two main phases, extraction from semi-structured data and extraction from text.  ... 
doi:10.1145/2169095.2169101 dblp:conf/www/KuzeyW12 fatcat:e2ueqp64orfx3mbqdg4feod3mq
« Previous Showing results 1 — 15 out of 135,969 results