34,704 Hits in 6.9 sec

Extraction of Document Descriptive Terms with a Linguistic-Based Machine Learning Approach [chapter]

Javier Fernández, Elena Montañés, Irene Díaz, José Ranilla, Elías F. Combarro
2004 Lecture Notes in Computer Science  
Form a set of words manually labelled as relevant or not and with the aid of a Machine Learning algorithm, we build a classifier which is able to decide which words from a unseen document must be regarded  ...  In this paper we present a method for extracting relevant words from a document taking into account linguistic information.  ...  The System and the Experiments Our system builds a binary classifier to decide whether a word can be regarded as a descriptive term for a certain document or not.  ... 
doi:10.1007/978-3-540-24687-9_96 fatcat:tfqfviy2ing3dhduh2htmjovcm

Question Answering System, Approaches and Techniques: A Review

Ajitkumar M., Khillare S.A., C. Namrata
2016 International Journal of Computer Applications  
Question Answering system has many application based on source of answering like extracting information from document, language learning, online examination etc.  ...  Question answering is a specialized area in the field of information retrieval Text Processing.  ...  Like extracting information from document, language learning, online examination system, human and computer interaction, document management, classification of document and many more [1] .  ... 
doi:10.5120/ijca2016909587 fatcat:ru2papuclfcbdpyjzxnioptqu4

Semantic NLP Technologies in Information Retrieval Systems for Legal Research

2021 Advances in Machine Learning & Artificial Intelligence  
However, a potential concern with the use of this technology is that professionals will come to depend on systems, over which they have little control or understanding, as a source of knowledge.  ...  These NLP techniques, which perform analysis on natural language texts by taking advantage of methods developed in the fields of computational linguistics and artificial intelligence, have potential applications  ...  of a professional term directly from some legal factual description" [1, 5] .  ... 
doi:10.33140/amlai.02.01.05 fatcat:cgjljkla2javhk42i6fun7vqbe

Towards Semantic Annotation Supported by Dependency Linguistics and ILP [chapter]

Jan Dědek
2010 Lecture Notes in Computer Science  
Learned extraction rules can be easily visualized, understood and adapted by human. A description, implementation and initial evaluation of the method are the main contributions of the paper.  ...  In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP).  ...  The author would like to thank his supervisor Peter Vojtáš for the guidance of the PhD thesis.  ... 
doi:10.1007/978-3-642-17749-1_20 fatcat:go7kifhrtzcxbnbq57rv6kltpm

A Novel Approach to Arabic Keyphrase Extraction

Dhiaa Musleh, Rashad Ahmed, Atta-ur-Rahman, Fahd Alhaidari
2019 Innovative Computing Information and Control Express Letters, Part B: Applications  
These approaches use techniques borrowed from areas such as machine learning, computational linguistic and statistical analysis.  ...  A new boosting factor is proposed by which occurrence of compound terms is boosted based on occurrences of their words.  ...  In the literature, three types of keyphrase extraction approaches are distinguished, namely machine learning, statistical and linguistic approaches. 2.1. Machine learning approaches.  ... 
doi:10.24507/icicelb.10.10.875 fatcat:ngwx2efxqzb4bdurycg5yelxsa

Machine Learning Methods for Keyword Extraction and Indexing

Therefore the machine learning approaches for keyword extraction are proposed. In this paper various machine learning approaches have discussed along with its merits and de-merits.  ...  Keyword extraction is a process of identifying the document. Manual keyword extraction is cumbersome and it is in feasible to efficiently identify all the keywords in the document.  ...  This work presents a summary of the machine learning approaches for keyword extraction and the indexing structures in the graph-based representation.  ... 
doi:10.35940/ijitee.b1004.1292s19 fatcat:5bhgqydddnezpdqskk3u2t6oj4

Automatic Learning of Ontologies for the Semantic Web: experiment lexical learning

Eduard Puerto, Jose Aguilar, Tatiana Rodriguez
2012 Respuestas  
SALOX has a component to map the sources of learning with the learning methods, and another to update the linguistic ontology and the lexicon of the DSOFSW.  ...  SALOX integrates several methods, approaches and techniques for information extraction, discovery and actualization (pragmatic (user profile, context knowledge), lexical and semantic linguistic information  ...  Ontology provides a semantic base for the machine-understandable description of digital content [1] .  ... 
doi:10.22463/0122820x.418 fatcat:t4wub2zqtzg2xkoyky7fpz4tfe

A Neural Network Approach for Bridging the Semantic Gap in Texture Image Retrieval

Qingyong Li, Zhiping Shi, Siwei Luo
2007 Neural Networks (IJCNN), International Joint Conference on  
We put forward a neural network approach to extract the image fuzzy semantics ground on linguistic expression based image description framework (LEBID).  ...  One of the big challenges faced by content-based image retrieval (CBIR) is the 'semantic gap' between the visual features and the richness of human semantics for image content.  ...  In addition, in our previous work, we proposed a semantic description framework, which is named linguistic expression based image description (LEBID) [4] , and designed a semantic feature extraction method  ... 
doi:10.1109/ijcnn.2007.4371021 dblp:conf/ijcnn/LiSL07 fatcat:fstomomw7nhgrdlarlbqkrqnhq


A.V. Melnikov, D.S. Botov, J.D. Klenin
2017 Ontology of Designing  
There exists a variety of approaches from the most simplistic Bag-of-Words to sophisticated machine learning methods, such as word embedding.  ...  In this paper, we review most popular approaches to a variety of natural language processing (NLP) tasks, primarily those, which involve machine learning: from classics to state-of-the-art technologies  ...  Bag-of-Words represents a set of documents as a matrix with rows corresponding to documents and columnsto a specific term.  ... 
doi:10.18287/2223-9537-2017-7-1-34-47 fatcat:46a7pqjlbjbelklnnam424fp24

An Overview of Ontology Learning Process from Arabic Text

Mariam Muhammed, Nesrine Azim, Mervat Gheith
2020 The Egyptian Journal of Language Engineering  
Most of these works focused on three main issues: extracting the terms, extracting the semantic relations, and building the ontology from the Arabic text.  ...  Second, we make a research comparison based on the techniques used and their results. Third, we pointed out the limitations and comments of research works on Arabic Ontology Learning.  ...  "Extracting the terms" is through three approaches: rule-based approach, machine learning approach, and hybrid approach.  ... 
doi:10.21608/ejle.2020.19841.1000 fatcat:s3fe6obmnjdixlr4zqvhtcepsu

Concept Extraction and Clustering for Topic Digital Library Construction

Chengzhi Zhang, Dan Wu
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
Firstly, documents in a special domain are automatically produced by document classification approach. Then, the keywords of each document are extracted using the machine learning approach.  ...  This paper is to introduce a new approach to build topic digital library using concept extraction and document clustering.  ...  To resolve the problem of the weak readability of the traditional documents clustering results, we propose a method of automatic labeling documents clusters based on machine learning.  ... 
doi:10.1109/wiiat.2008.81 dblp:conf/iat/ZhangW08 fatcat:gmeidqchqrd6xdw6ais2ka2vny

Using Machine Learning Methods and Linguistic Features in Single-Document Extractive Summarization

Alexander Dlikman, Mark Last
2016 European Conference on Principles of Data Mining and Knowledge Discovery  
Extractive summarization of text documents usually consists of ranking the document sentences and extracting the top-ranked sentences subject to the summary length constraints.  ...  Additionally, the linear regression model, which included POS (Part-of-Speech)-based features, outperformed the one with statistical features only.  ...  Introduction In this study, we seek to improve the performance of extractive summarization algorithms by using multiple statistical and linguistic sentence features combined with advanced machine learning  ... 
dblp:conf/pkdd/DlikmanL16 fatcat:l2vdp6fd7nfd3hrsdlodcyh7he

Dimensions of Media Object Comprehensibility

Lawrie Hunter
2007 Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)  
The work towards a human-communication paradigm for the guidance of machines within the frame of the new multidisciplinary approach of machine-mediated communication (e.g.  ...  With the development of a pattern language in mind, this paper outlines the author's structural model of content information for second language learning materials and from that frame examines the question  ...  Introduction The creation of second language learning materials demands document transparency: document purpose, document content, target behavior and target lexical items must all be more immediately  ... 
doi:10.1109/icalt.2007.124 dblp:conf/icalt/Hunter07 fatcat:fa6szncshbawhi6sm2o4ggnwca

Integration of linguistic and web information to improve biomedical terminology extraction

Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
2014 Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14  
Methods featuring linguistic and statistical aspects as often proposed in the literature, solve some problems related to term extraction as low frequency, complexity of the multi-word term extraction,  ...  In addition we demonstrate how the use of the Web to evaluate the significance of a multi-word term candidate, helps us to outperform precision results obtain on the biomedical GENIA corpus with previous  ...  Machine Learning: Machine Learning systems are usually designed for a specific class of entities and integrate term recognition and term classification.  ... 
doi:10.1145/2628194.2628208 dblp:conf/ideas/VenturaJRT14 fatcat:swhzitwdzra6zcbbmjeitotm3m

Extractive Text Summarization Using Recent Approaches: A Survey

Avaneesh Kumar Yadav, Ashish Kumar Maurya, Ranvijay, Rama Shankar Yadav
2021 Ingénierie des Systèmes d'Information  
In extractive text summarization, a summary is created from the given document that contains crucial sentences of the document.  ...  Many authors proposed various techniques for both types of text summarization. This paper presents a survey of extractive text summarization on graphical-based techniques.  ...  This research was partially supported by Ministry of Human Resource Development (MHRD), Government of India (GoI).  ... 
doi:10.18280/isi.260112 fatcat:zwo7neckujanliou7arlaiccj4
« Previous Showing results 1 — 15 out of 34,704 results