Extraction automatique d'entités et de relations par ontologies et programmation logique inductive

1. Aix-Marseille Université, LSIS UMR CNRS 6168 Domaine Universitaire de St Jerôme, F-13997, Marseille cedex 20, France bernard.espinasse@lsis.org 2. Universidade Federal Rural de Pernambuco – UFRPE-DEINFO Rua Dom Manoel de Medeiros, s/n, Campus Dois Irmãos, Recife/PE, B rasil rinaldo.jose@ufrpe.br 3. Universidade Federal de Pernambuco, CIn UFPE Centro de Informática, Cx Postal 7851, 50372-970, Recife/PE, Bra sil fred@cin.ufpe.br

[1]  Richard Tobin,et al.  Datasets for generic relation extraction* , 2011, Natural Language Engineering.

[2]  Bernard Espinasse,et al.  Relation Extraction from Texts with Symbolic Rules Induced by Inductive Logic Programming , 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

[3]  Stefan Wrobel,et al.  A Logic-Based Approach to Relation Extraction from Texts , 2009, ILP.

[4]  Pushpak Bhattacharyya,et al.  Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages , 2009, ILP.

[5]  K. Bretonnel Cohen,et al.  BioCreAtIvE Task1A: entity identification with a stochastic tagger , 2005, BMC Bioinformatics.

[6]  Jie Tang,et al.  Information Extraction: Methodologies and Applications , 2008 .

[7]  Georgios Paliouras,et al.  Ontology Population and Enrichment: State of the Art , 2011, Knowledge-Driven Multimedia Information Extraction and Ontology Evolution.

[8]  Tom M. Mitchell,et al.  Generalization as Search , 2002 .

[9]  Ralph Grishman,et al.  Extracting Relations with Integrated Information Using Kernel Methods , 2005, ACL.

[10]  Stephen Muggleton,et al.  Efficient Induction of Logic Programs , 1990, ALT.

[11]  Stefanie Dipper,et al.  Representing and Querying Standoff XML , 2006 .

[12]  Onésimo Hernández-Lerma,et al.  The Linear Programming Formulation , 1996 .

[13]  PopovBorislav,et al.  KIM a semantic platform for information extraction and retrieval , 2004 .

[14]  Bernard Espinasse,et al.  Information Extraction from the Web: An Ontology-Based Method Using Inductive Logic Programming , 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.

[15]  Daniel S. Weld,et al.  Automatically refining the wikipedia infobox ontology , 2008, WWW.

[16]  Diana Maynard,et al.  NLP Techniques for Term Extraction and Ontology Population , 2008, Ontology Learning and Population.

[17]  Jian Su,et al.  Exploring Various Knowledge in Relation Extraction , 2005, ACL.

[18]  Nanda Kambhatla,et al.  Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy Models for Information Extraction , 2004, ACL.

[19]  Imed Zitouni,et al.  Relation Extraction , 2014, NLP of Semitic Languages.

[20]  Jun'ichi Tsujii,et al.  Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition , 2006, ACL.

[21]  Vítor Santos Costa,et al.  Inductive Logic Programming , 2013, Lecture Notes in Computer Science.

[22]  ChengXiang Zhai,et al.  A Systematic Exploration of the Feature Space for Relation Extraction , 2007, NAACL.

[23]  Adeline Nazarenko,et al.  Ontologies and Information Extraction , 2006, ArXiv.

[24]  Peter F. Patel-Schneider,et al.  OWL 2 Web Ontology Language Primer (Second Edition) , 2012 .

[25]  Maria T. Pazienza,et al.  Information Extraction , 2002, Lecture Notes in Computer Science.

[26]  Dejing Dou,et al.  Components for information extraction: ontology-based information extractors and generic platforms , 2010, CIKM.

[27]  Stephen Muggleton,et al.  Inverse entailment and progol , 1995, New Generation Computing.

[28]  Aron Culotta,et al.  Dependency Tree Kernels for Relation Extraction , 2004, ACL.

[29]  Jing Jiang,et al.  Information Extraction from Text , 2012, Mining Text Data.

[30]  Ashwin Srinivasan,et al.  Using ILP to Construct Features for Information Extraction from Semi-structured Text , 2007, ILP.

[31]  Sa-Kwang Song,et al.  An intensive case study on kernel-based relation extraction , 2013, Multimedia Tools and Applications.

[32]  Claire Nédellec,et al.  Declarative Bias in ILP , 1996 .

[33]  Katrin Erk,et al.  A Powerful and Versatile XML Format for Representing Role-semantic Annotation , 2004, LREC.

[34]  Bernard Espinasse,et al.  Ontology Population from the Web: An Inductive Logic Programming-Based Approach , 2014, 2014 11th International Conference on Information Technology: New Generations.

[35]  Jian Su,et al.  Effective Adaptation of Hidden Markov Model-based Named Entity Recognizer for Biomedical Domain , 2003, BioNLP@ACL.

[36]  Rinaldo Lima,et al.  Ontoilper: an ontology- and inductive logic programming-based method to extract instances of entities and relations from texts , 2014 .

[37]  Tomaz Podobnikar,et al.  Evaluation of inductive logic programming for information extraction from natural language texts to support spatial data recommendation services , 2011, Int. J. Geogr. Inf. Sci..

[38]  C. Nédellec,et al.  Semantic Annotation in the Alvis Project , 2006 .

[39]  Kalina Bontcheva,et al.  Ontology-Based Information Extraction for Business Intelligence , 2007, ISWC/ASWC.

[40]  Gordon Plotkin,et al.  A Note on Inductive Generalization , 2008 .

[41]  Jose Santos,et al.  Efficient learning and evaluation of complex concepts in inductive logic programming , 2010 .

[42]  Stephen Muggleton,et al.  ProGolem: A System Based on Relative Minimal Generalisation , 2009, ILP.

[43]  Saso Dzeroski,et al.  Inductive Logic Programming: Techniques and Applications , 1993 .

[44]  L. Getoor,et al.  1 Global Inference for Entity and Relation Identification via a Linear Programming Formulation , 2007 .

[45]  Dejing Dou,et al.  Ontology-based information extraction: An introduction and a survey of current approaches , 2010, J. Inf. Sci..

[46]  Dan Roth,et al.  A Linear Programming Formulation for Global Inference in Natural Language Tasks , 2004, CoNLL.

[47]  Li Li,et al.  A Survey on Relation Extraction , 2017, CCKS.

[48]  Guodong Zhou,et al.  Exploring syntactic structured features over parse trees for relation extraction using kernel methods , 2008, Inf. Process. Manag..

[49]  Vangelis Karkaletsis,et al.  Ontology Based Information Extraction from Text , 2011, Knowledge-Driven Multimedia Information Extraction and Ontology Evolution.

[50]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[51]  Sung-Hyon Myaeng,et al.  Relation Extraction based on Extended Composite Kernel using Flat Lexical Features , 2009 .

[52]  Céline Rouveirol,et al.  Lazy Propositionalisation for Relational Learning , 2000, ECAI.