488 Result(s)
within
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
**u Tao
Chapter
Conference Paper
Computer Science
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Chapter and Conference Paper
Correction to: Filtering Techniques for Regular Expression Matching in Strings
The original version of the chapter starting on p. 118 was revised.
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Chapter and Conference Paper
Filtering Techniques for Regular Expression Matching in Strings
Matching a regular expression (regex) on a text is widely used in many applications, such as text editing, information extraction and instruction detection (IDS). Traditional algorithms generally compile an eq...
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Chapter and Conference Paper
Emotion Classification with Data Augmentation Using Generative Adversarial Networks
It is a difficult task to classify images with multiple class labels using only a small number of labeled examples, especially when the label (class) distribution is imbalanced. Emotion classification is such ...
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Chapter and Conference Paper
Text Generation Based on Generative Adversarial Nets with Latent Variables
In this paper, we propose a model using generative adversarial net (GAN) to generate realistic text. Instead of using standard GAN, we combine variational autoencoder (VAE) with generative adversarial net. The...
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Chapter and Conference Paper
Convolutional Neural Networks for Text Classification with Multi-size Convolution and Multi-type Pooling
Text classification is a very important problem in Nature Language Processing (NLP). The text classification based on shallow machine-learning models takes too much time and energy to extract features of data,...
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Chapter and Conference Paper
Enhanced Embedding Based Attentive Pooling Network for Answer Selection
Document-based Question Answering tries to rank the candidate answers for given questions, which needs to evaluate matching score between the question sentence and answer sentence. Existing works usually utili...
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Chapter and Conference Paper
Model and Practice of Crowd-Based Education
Based on connectivism pedagogy crowd-based education provides a practical method to extensively exploit wisdoms of core learners in education organization and external crowds on Internet. However, when applyin...
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Chapter and Conference Paper
SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia
Mining sub-event relations of major events is an important research problem, which is useful for building event taxonomy, event knowledge base construction, and natural language understanding. To advance the s...
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Chapter and Conference Paper
Text Matching with Monte Carlo Tree Search
In this paper we address a novel reinforcement learning based model for text matching, referred to as MM-Match. Inspired by the success and methodology of the AlphaGo Zero, MM-Match formalizes the problem of t...
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Chapter and Conference Paper
A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis
Online consumer reviews have become an essential source of information for understanding markets and customer preferences. This research introduces a novel topic model to identify product attributes and sentim...
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Chapter and Conference Paper
Neural Sentiment Classification with Social Feedback Signals
Neural network methods have achieved promising results for document-level sentiment classification. Since the popularity of Web 2.0, a growing number of websites provide users with voting and feedback systems ...
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Chapter and Conference Paper
Event Detection via Recurrent Neural Network and Argument Prediction
This paper tackles the task of event detection, which involves identifying and categorizing the events. Currently event detection remains a challenging task due to the difficulty at encoding the event semanti...
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Chapter and Conference Paper
A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Telehealth Environment
Intelligent technologies are enjoying growing popularity in a telehealth environment for hel** improve the quality of chronic patients’ lives and provide better clinical decision-making to reduce the costs a...
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Chapter and Conference Paper
On Link Stability Detection for Online Social Networks
Link stability detection has been an important and long-standing problem within the link prediction domain. However, it has often been overlooked as being trivial and has not been adequately dealt with in link...
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Chapter and Conference Paper
Boost Clickbait Detection Based on User Behavior Analysis
Article in the web is usually titled with a misleading title to attract the users click for gaining click-through rate (CTR). A clickbait title may increase click-through rate, but decrease user experience. Th...
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Chapter and Conference Paper
Laser: Load-Adaptive Group Commit in Lock-Free Transaction Logging
Log manager is a key component of DBMS and is considered as the most prominent bottleneck in the modern in-memory OLTP system. In this paper, by addressing two existing performance hurdles in the current proce...
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Chapter and Conference Paper
Efficient Supervised Hashing via Exploring Local and Inner Data Structure
Recent years have witnessed the promising capacity of hashing techniques in tackling nearest neighbor search because of the high efficiency in storage and retrieval. Data-independent approaches (e.g., Locality...
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Chapter and Conference Paper
Speeding Up Dilated Convolution Based Pedestrian Detection with Tensor Decomposition
Researches show in the test phase of Convolutional Neural Network (CNN), the most time cost occurred in convolutional layers, while the most memory cost occurred in the fully connected layers. With the rapid d...
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Chapter and Conference Paper
Image Firewall for Filtering Privacy or Sensitive Image Content Based on Joint Sparse Representation
As the commonest part of social networks, sharing an image in social networks transmits not only can provide more information, but also more intuitive than any text. However, images also can leak out informati...
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Chapter and Conference Paper
Quantitative Analysis of Learning Data in a Programming Course
Online learning platform, which has taken higher education by storm, provides an opportunity to track students’ learning behaviors. The vast majority of educational data mining research has been carried out ba...
