27 Result(s)
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Chapter and Conference Paper
Nonlinear Hydrological Time Series Forecasting Based on the Relevance Vector Regression
As long leading-time hydrological forecast is a complex non-linear procedure, traditional methods are easy to get slow convergence and low efficiency. The basic relevance vector machine (BRVM) and the develope...
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Chapter and Conference Paper
Biased Wavelet Neural Network and Its Application to Streamflow Forecast
Long leading-time streamflow forecast is a complex non-linear procedure. Traditional methods are easy to get slow convergence and low efficiency. The biased wavelet neural network (BWNN) based on BP learning a...
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Chapter and Conference Paper
Mining Uncertain Sentences with Multiple Instance Learning
Distinguishing uncertain information from factual ones in online texts is of essential importance in information extraction, because uncertain information would mislead systems to find useless even fault infor...
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Chapter and Conference Paper
Labelwise Margin Maximization for Sequence Labeling
In sequence labeling problems, the objective functions of most learning algorithms are usually inconsistent with evaluation measures, such as Hamming loss. In this paper, we propose an online learning algorith...
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Chapter and Conference Paper
An Effective Feature Selection Method for Text Categorization
Feature selection is an efficient strategy to reduce the dimensionality of data and removing the noise in text categorization. However, most feature selection methods aim to remove non-informative features bas...
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Chapter and Conference Paper
Chinese Word Segmentation with Character Abstraction
Chinese word segmentation is an important and necessary problem to analyze Chinese texts. In this paper, we focus on the primary challenges in Chinese word segmentation: low accuracy of out-of-vocabulary word....
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Chapter and Conference Paper
Online Distributed Passive-Aggressive Algorithm for Structured Learning
The training phase is time-consuming for structured learning, especially for supper-tagging tasks. In this paper, we propose an online distributed Passive-Aggression (PA) by averaging parameters for parallel t...
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Chapter and Conference Paper
Improving Multi-pass Transition-Based Dependency Parsing Using Enhanced Shift Actions
In multi-pass transition-based dependency parsing algorithm, the shift actions are usually inconsistent for the same node pair in different passes. Some node pairs have a indeed dependency relation, but the modif...
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Chapter and Conference Paper
Text Classification with Document Embeddings
Distributed representations have gained a lot of interests in natural language processing community. In this paper, we propose a method to learn document embedding with neural network architecture for text cla...
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Chapter and Conference Paper
Application of Big Data Processing Technology in the Intelligent Network Management System
In this paper, according to the requirements of China Telecom’s Network Planning and intelligent platform construction technology, we describe how to use big data technology to improve the processing efficienc...
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Chapter and Conference Paper
Convolutional Deep Neural Networks for Document-Based Question Answering
Document-based Question Answering aims to compute the similarity or relevance between two texts: question and answer. It is a typical and core task and considered as a touchstone of natural language understand...
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Chapter and Conference Paper
Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Segmentation for Micro-Blog Texts
In this paper, we give an overview for the shared task at the 5th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC 2016): Chinese word segmentation for micro-blog texts. Different with ...
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Chapter and Conference Paper
End-to-End Neural Text Classification for Tibetan
As a minority language, Tibetan has received relatively little attention in the field of natural language processing (NLP), especially in current various neural network models. In this paper, we investigate th...
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Chapter and Conference Paper
Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization
In this paper, we give an overview for the shared task at the CCF Conference on Natural Language Processing & Chinese Computing (NLPCC 2017): Chinese News Headline Categorization. The dataset of this shared ta...
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Chapter and Conference Paper
Hyper-Gated Recurrent Neural Networks for Chinese Word Segmentation
Recently, recurrent neural networks (RNNs) have been increasingly used for Chinese word segmentation to model the contextual information without the limit of context window. In practice, two kinds of gated RNN...
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Article
Multi-objective service composition model based on cost-effective optimization
The widespread application of cloud computing results in the exuberant growth of services with the same functionality. Quality of service (QoS) is mostly applied to represent nonfunctional properties of servic...
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Article
Dynamic hypersphere SVDD without describing boundary for one-class classification
Support vector data description (SVDD), an efficient one-class classification method, captures the spherically shaped boundary around the same class data and achieves classification for setting the boundary re...
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Chapter and Conference Paper
An Electric Power Emergency Repair System: Structure, Navigation, and Software Design
The development of power grids gradually raises the demand for their emergency repair capabilities and efficiency. This paper focuses on the enhancement of the power emergency repair system from three aspects...
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Article
Chinese Word Segmentation via BiLSTM+Semi-CRF with Relay Node
Semi-Markov conditional random fields (Semi-CRFs) have been successfully utilized in many segmentation problems, including Chinese word segmentation (CWS). The advantage of Semi-CRF lies in its inherent abilit...
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Chapter and Conference Paper
Application Analysis of Data Technology in Computer Information Security Education
With the development of information technology, big data technology is widely used to improve people’s work efficiency. At present, computers are widely used in various industries, and information security is ...
