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Date of birth extraction using precise shallow parsing

Ray Pereda, Kazem Taghva, Laurence Likforman-Sulem, Gady Agam
2010 Document Recognition and Retrieval XVII  
This paper presents the implementation and evaluation of a pattern-based program to extract date of birth information from OCR text.  ...  Although the program finds data of birth information with high precision and recall, this type of information extraction task seems to be negatively impacted by OCR errors.  ...  Our method of evaluation for finding date of birth will mirror the standard method in most information extraction experiments. The abbreviation DOB stands for "date of birth".  ... 
doi:10.1117/12.839546 dblp:conf/drr/PeredaT10 fatcat:cqpru7xmffheliotzcx6ffg5wu

WRPA: A System for Relational Paraphrase Acquisition from Wikipedia

Marta Vila, Horacio Rodríguez, Maria Antònia Martí
2010 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
This resulted in 161,398 candidate patterns for date of birth, 36,895 for date of death and 93,021 for place of birth.  ...  In this paper we also deal with date of birth, date of death and place of birth relations, the source being a person and the target being the birth or death information.  ... 
dblp:journals/pdln/VilaRM10 fatcat:hqwkec4zlvesjmebhi55puyvby

University of Hagen at QA@CLEF 2007: Coreference Resolution for Questions and Answer Merging

Sven Hartrumpf, Ingo Glöckner, Johannes Leveling
2007 Conference and Labs of the Evaluation Forum  
Results showed a performance drop compared to last year mainly due to unstable and incomplete handling of the newly added Wikipedia corpus.  ...  InSicht realizes a deep QA approach: it builds on full sentence parses, rulebased inferences on semantic representations, and matching semantic representations derived from questions and document sentences  ...  An entry in the PND data contains information about a famous person such as his/her place of birth (relation born in), date of birth (born on), place of death (died in), date of death (died on), aliases  ... 
dblp:conf/clef/HartrumpfGL07a fatcat:zffyck4ouvcppllf2v7f6nwf34

Semantic analysis in the automation of ER modelling through natural language processing

N. Omar, P. Hanna, P. Mc Kevitt
2006 2006 International Conference on Computing & Informatics  
This paper deals with the problem of extracting semantic knowledge in the production of ER models from natural language specifications.  ...  Earlier research has shown that syntactic heuristics produced good results in identifying the relevant and correct results of the ER elements in terms of recall and precision.  ...  The parser used here is Memory-Based Shallow Parser (MBSP) [4, 17] . The results produced is then parsed through a semantic analyser for the semantic analysis.  ... 
doi:10.1109/icoci.2006.5276559 fatcat:llagg4aelfhvjg6vuhsz5tmwim

Automatic Top-Down Role Engineering Framework Using Natural Language Processing Techniques [chapter]

Masoud Narouei, Hassan Takabi
2015 Lecture Notes in Computer Science  
policies with a precision of 79%, recall of 88%, and 1 score of 82%.  ...  By successfully applying semantic role labeling to identify predicate-argument structure, and using a set of predefined rules on the extracted arguments, we were able correctly identify access control  ...  Consider the following sentence for example: Customer Service Reps, Pharmacists, and Billing Reps can collect and use customer name and date of birth to help confirm identity.  ... 
doi:10.1007/978-3-319-24018-3_9 fatcat:pahymsjdyrbl5b7qhgpeqslqca

The Triplex Approach for Recognizing Semantic Relations from Noun Phrases, Appositions, and Adjectives [chapter]

Seyed Iman Mirrezaei, Bruno Martins, Isabel F. Cruz
2015 Lecture Notes in Computer Science  
Our experimental study indicates that TRIPLEX is a promising approach for extracting noun-mediated triples.  ...  We report on an automatic evaluation method to examine the output of information extractors both with and without the TRIPLEX approach.  ...  Acknowledgments We would like to thank Matteo Palmonari for useful discussions. Cruz and Mirrezaei were partially supported by NSF Awards CCF-1331800, IIS-1213013, and IIS-1143926.  ... 
doi:10.1007/978-3-319-25639-9_39 fatcat:m5s7in56ajddhelktcvgfj7fni

Clinical information extraction for preterm birth risk prediction

Lucas Sterckx, Gilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke Debackere, Filip De Turck, Kristien Roelens, Johan Decruyenaere, Sofie Van Hoecke, Thomas Demeester
2020 Journal of Biomedical Informatics  
In particular, we present a pipeline for clinical information extraction from medical notes related to preterm birth, and discuss the main challenges as well as its potential for clinical practice.  ...  Based on an annotated collection of notes, we trained and evaluated information extraction components to discover clinical entities such as symptoms, events, anatomical sites and procedures, as well as  ...  This study has been performed in the context of the 'Predictive health care using text analysis on unstructured data project', funded by imec, and the PRETURN (PREdiction Tool for prematUre laboR and Neonatal  ... 
doi:10.1016/j.jbi.2020.103544 pmid:32858168 fatcat:cvdq6eu47zc45k7eez6ygyczc4

Combining linguistic and statistical analysis to extract relations from web documents

Fabian M. Suchanek, Georgiana Ifrim, Gerhard Weikum
2006 Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06  
We show the practical relevance of our approach by extensive experiments with our prototype system Leila. might be interested in extracting all pairs of a person and her birth date (the birthdate-relation  ...  In this paper, we show that this approach profits significantly when deep linguistic structures are used instead of surface text patterns.  ...  For instance, for the birthdate-relation, the examples can be given by a list of persons with their birth dates. • A counterexample.  ... 
doi:10.1145/1150402.1150492 dblp:conf/kdd/SuchanekIW06 fatcat:n34emqgpjraspefbbv3un4fiiu

University of Lethbridge's Participation in TREC 2007 QA Track

Yllias Chali, Shafiq R. Joty
2007 Text Retrieval Conference  
The following patterns are used to rank the answers. Date of Birth and Date of Death The date of birth and date of death of a person are sometimes put in brackets, after a person's name, e.g.  ...  To extract the entity, first we extract How many from the start of each question, then tag the question with a shallow parse.  ... 
dblp:conf/trec/ChaliJ07 fatcat:jhmdavnc45bhbjbjqpyplu362q

Learning a Theory of Marriage (and Other Relations) from a Web Corpus [chapter]

Sandro Bauer, Stephen Clark, Laura Rimell, Thore Graepel
2014 Lecture Notes in Computer Science  
Relations of interest are identified by parsing the sentences and extracting dependency graph fragments, which are then ranked to determine which of them are most closely associated with the seed relation  ...  We call the sets of associated relations relation theories. The quality of the induced theories is evaluated using human judgements.  ...  Finally, a large background corpus of parsed sentences from Wikipedia was used to rank candidate relations. We will use the marriage relation as a running example.  ... 
doi:10.1007/978-3-319-06028-6_62 fatcat:3tbuebbwjfgdnlmee7fbrciei4

Research and Reviews in Question Answering System

Sanjay K. Dwivedi, Vaishali Singh
2013 Procedia Technology - Elsevier  
In this paper, we propose taxonomy for characterizing Question Answer (QA) systems, briefly survey major QA systems described in literature and provide a qualitative analysis of them.  ...  Finally, a comparison between these approaches based on certain features of QA system found critical in our study has been done, in order to bring an insight to research scope in this direction.  ...  [24] used pattern matching as an alternative approach for difficult questions like acronym expansion questions, date of birth questions and location questions.  ... 
doi:10.1016/j.protcy.2013.12.378 fatcat:6px3nuaha5h4zh53ae6oyt4yei

Automated Narrative Extraction from Administrative Records

Karine Megerdoomian, Karl Branting, Charles Horowitz, Amy Marsh, Stacy Petersen, Eric Scott
2019 International Conference on Artificial Intelligence and Law  
As a result, these records remain mostly out of reach without the use of painstaking manual review.  ...  While it is critical for probation officers and district chiefs to have up-to-date knowledge on their clients to better assist and reduce risk of recidivism, the data are often stored in narrative texts  ...  ACKNOWLEDGMENTS We would like to acknowledge the guidance and support of the U.S. Probation and Pretrial Services Office throughout this project.  ... 
dblp:conf/icail/MegerdoomianBHM19 fatcat:ku5ztu2rkzftdonwug3mhxm5ei

Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features [chapter]

Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
2010 Lecture Notes in Computer Science  
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications.  ...  On the one hand, from the linguistic view, linguistic features are generated from linguistic parsing on Wikipedia texts by abstracting away from different surface realizations of semantic relations.  ...  Many efforts have been focused on extracting semantic relations between entities, such as birth date relation, CEO relation, and other relations.  ... 
doi:10.1007/978-3-642-12116-6_45 fatcat:iwbj6aors5he5fimbljr7wihr4

YAGO: A Large Ontology from Wikipedia Andwordnet

Fabian Suchanek, Gjergji Kasneci, Gerhard Weikum
2008 Social Science Research Network  
The facts for YAGO have been extracted from the category system and the infoboxes of Wikipedia and have been combined with taxonomic relations from WordNet.  ...  Type checking techniques help us keep YAGO's precision at 95% -as proven by an extensive evaluation study. YAGO is based on a clean logical model with a decidable consistency.  ...  For example, the attribute Birth date has the target relation birth-Date. Its range is timeInterval.  ... 
doi:10.2139/ssrn.3199399 fatcat:yseaf3mimbfezkzeh57535esky

YAGO: A Large Ontology from Wikipedia and WordNet

Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum
2008 Journal of Web Semantics  
The facts for YAGO have been extracted from the category system and the infoboxes of Wikipedia and have been combined with taxonomic relations from WordNet.  ...  Type checking techniques help us keep YAGO's precision at 95% -as proven by an extensive evaluation study. YAGO is based on a clean logical model with a decidable consistency.  ...  For example, the attribute Birth date has the target relation birth-Date. Its range is timeInterval.  ... 
doi:10.1016/j.websem.2008.06.001 fatcat:e62ktcy63nbbfminoahodnpzfu
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