A5090292269- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Web Data Mining and Analysis
- Biomedical Text Mining and Ontologies
- Fuzzy Logic and Control Systems
- Handwritten Text Recognition Techniques
- E-Learning and Knowledge Management
- Software Engineering Research
- Image Retrieval and Classification Techniques
- Spanish Linguistics and Language Studies
- Data Quality and Management
- Computational Drug Discovery Methods
- Advanced Control Systems Optimization
- Neural Networks and Applications
- Mental Health via Writing
- Educational Outcomes and Influences
- Image Processing and 3D Reconstruction
- Advanced Malware Detection Techniques
- Spam and Phishing Detection
- Authorship Attribution and Profiling
- Engineering and Information Technology
- Optical and Acousto-Optic Technologies
- Photorefractive and Nonlinear Optics
- Semantic Web and Ontologies
Universidad Autónoma del Estado de México
2014-2025
Universidad Autónoma de Occidente
2020
Institute for Systems Analysis
2020
The Russian Presidential Academy of National Economy and Public Administration
2020
Instituto de Salud del Estado de México
2016
Instituto Tecnológico de Toluca
2014
Instituto Politécnico Nacional
2007-2008
National Institute of Astrophysics, Optics and Electronics
2006-2007
The automatic text summarization (ATS) task consists in automatically synthesizing a document to provide condensed version of it. Creating summary requires not only selecting the main topics sentences but also identifying key relationships between these topics. Related works rank units (mainly sentences) select those that could form summary. However, resulting summaries may include all covered source because important information have been discarded. In addition, semantic structure documents...
Preprocessing, term selection, weighting, sentence and selection are the main issues in generating extractive summaries of text sentences. Although many outstanding related works only focused last step, they show sophisticated features each one. In order to de termine relevance sentences (sentence step) have been proposed this task (in fact, these all steps). Recently, some good coincided same but present different ways for weighting features. paper, a method optimize combination previous...
The main problem for generating an extractive automatic text summary is to detect the most relevant information in source document. For such purpose, recently some approaches have successfully employed word sequence from self-text detecting candidate fragments composing summary. In this paper, we employ so-called n-grams and maximal frequent sequences as features a vector space model order determine advantages disadvantages summarization.
In the last 16 years with existence of Document Understanding Conference (DUC), several methods have been developed in Automatic Extractive Text Summarization (AETS) that allowed continuous improvement this task. However, no significant analysis has performed to determine s ignificance AETS methods. paper, we present a new method based on Genetic Algorithm best sentence combination DUC01 and DUC02 datasets rank newest AETS. Using three heuristics presented state-of-the-art, most recent...
Over the last years, several Multi-Document Summarization (MDS) methods have been presented in Document Understanding Conference (DUC) workshops. Since DUC01, approximately 268 publications of state-of-the-art, that allowed continuous improvement MDS, however most works upper bounds were unknowns. Recently, some focused to calculate best sentence combinations a set documents and previous we calculated significance for single-document summarization task DUC01 DUC02 datasets. However, MDS has...
A fitness function is a type of objective that quantifies the optimality solution; correct formulation this relevant, in evolutionary-based ATS systems, because it must indicate quality summaries. Several unsupervised evolutionary methods for automatic text summarization (ATS) task proposed current standards require authors to manually construct an guides algorithms create good-quality In sense, necessary test each created measure its performance; however, process time consuming and only few...
Nowadays, there are commercial tools that allow automatic generation of text summaries. However, it is not known the quality generated summaries and method used for using these tools. This paper provides a study about such as Copernic Summarizer, Microsoft Office Word Summarizer 2003 2007, with objective to detect which them gives more similar those made by human. Furthermore, comparison between state-of-the-art methods realized. The experiments were carried out DUC-2002 standard collection...
This paper describes the simulation of movement control a one-degree-of-freedom articulated robot arm SCARAactuated by pair McKibben pneumatic artificial muscles. The muscle is actuator andemulates behavior biological muscles; due to its nonlinear behavior, there also need develop controlsystems for arms using this type actuator. Research begins with transfer function that represents, inmathematical language, arm’s joints; allows PID controller on transferfunction and generating data train...
Natural Language Processing (NLP) methods allow us to understand and manipulate natural language text or speech do useful things. There are several specific techniques in this area, although new approaches solving the problems arise, its evaluation remains similar. NLP regularly evaluated by a gold standard, which contains correct results must be obtained method. In situation, it is desirable that can close as possible of standard being evaluated. One most outstanding task Automatic Text...