Genetic programming for natural language processing

被引:4
作者
Araujo, Lourdes [1 ,2 ]
机构
[1] Univ Nacl Educ Distancia UNED, Nat Language Proc & Informat Retrieval Grp, Madrid, Spain
[2] Escuela Nacl Sanidad, IMIENS Inst Mixto Invest, Monforte de Lemos 5, Madrid 28019, Spain
关键词
Genetic programming; Grammatical evolution; Natural language processing; Applications; Challenges; NAMED ENTITY RECOGNITION; EVOLUTIONARY COMPUTATION; GRAMMATICAL EVOLUTION; CONVERSATIONAL AGENT; REGULAR EXPRESSIONS; GENERATION; RULES; ONTOLOGY; CORPUS;
D O I
10.1007/s10710-019-09361-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work takes us through the literature on applications of genetic programming to problems of natural language processing. The purpose of natural language processing is to allow us to communicate with computers in natural language. Among the problems addressed in the area is, for example, the extraction of information, which draws relevant data from unstructured texts written in natural language. There are also domains of application of particular relevance because of the difficulty in dealing with the corresponding documents, such as opinion mining in social networks, or because of the need for high precision in the information extracted, such as the biomedical domain. There have been proposals to apply genetic programming techniques in several of these areas. This tour allows us to observe the potential-not yet fully exploited-of such applications. We also review some cases in which genetic programming can provide information that is absent from other approaches, revealing its ability to provide easy to interpret results, in form of programs or functions. Finally, we identify some important challenges in the area.
引用
收藏
页码:11 / 32
页数:22
相关论文
共 75 条
[1]  
[Anonymous], 2015, CEUR Workshop Proceedings
[2]  
[Anonymous], SURVEY OPINION MININ
[3]  
[Anonymous], P 11 ANN C GEN EV CO
[4]  
Araujo L, 2006, LECT NOTES COMPUT SC, V4193, P433
[5]  
Araujo L, 2004, LECT NOTES COMPUT SC, V3003, P230
[6]   Symbiosis of evolutionary techniques and statistical natural language processing [J].
Araujo, L .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2004, 8 (01) :14-27
[7]   Discovering taxonomies in Wikipedia by means of grammatical evolution [J].
Araujo, Lourdes ;
Martinez-Romo, Juan ;
Duque, Andres .
SOFT COMPUTING, 2018, 22 (09) :2907-2919
[8]   How evolutionary algorithms are applied to statistical natural language processing [J].
Araujo, Lourdes .
ARTIFICIAL INTELLIGENCE REVIEW, 2007, 28 (04) :275-303
[9]   Active Learning of Regular Expressions for Entity Extraction [J].
Bartoli, Alberto ;
De Lorenzo, Andrea ;
Medvet, Eric ;
Tarlao, Fabiano .
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (03) :1067-1080
[10]   Syntactical Similarity Learning by Means of Grammatical Evolution [J].
Bartoli, Alberto ;
De Lorenzo, Andrea ;
Medvet, Eric ;
Tarlao, Fabiano .
PARALLEL PROBLEM SOLVING FROM NATURE - PPSN XIV, 2016, 9921 :260-269