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Character-level Convolutional Networks for Text Classification
TLDR
This article constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of-the-art or competitive results in text classification. Expand
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
TLDR
This integrated framework for using Convolutional Networks for classification, localization and detection is the winner of the localization task of the ImageNet Large Scale Visual Recognition Challenge 2013 and obtained very competitive results for the detection and classifications tasks. Expand
Text Understanding from Scratch
TLDR
It is shown that temporal ConvNets can achieve astonishing performance without the knowledge of words, phrases, sentences and any other syntactic or semantic structures with regards to a human language. Expand
Learning to Predict Charges for Criminal Cases with Legal Basis
TLDR
It is argued that relevant law articles play an important role in this task, and therefore an attention-based neural network method is proposed to jointly model the charge prediction task and the relevant article extraction task in a unified framework. Expand
Drug repositioning by integrating target information through a heterogeneous network model
TLDR
This paper proposes a computational framework based on a heterogeneous network model and applied the approach on drug repositioning by using existing omics data about diseases, drugs and drug targets and shows that the proposed approach significantly outperforms several recent approaches. Expand
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
TLDR
This work proposes a suite of new tasks that test the ability of models to answer factual questions, provide personalization, carry short conversations about the two, and finally to perform on natural dialogs from Reddit. Expand
Ontology summarization based on rdf sentence graph
TLDR
This paper proposes a notion of RDF sentence as the basic unit of summarization of ontology, and an RDF Sentence Graph is proposed to characterize the links between RDF sentences derived from a given ontology. Expand
A Survey on Platoon-Based Vehicular Cyber-Physical Systems
TLDR
The fundamental issues in a platoon-based VCPS are discussed, including vehicle platooning/clustering, cooperative adaptive cruise control, platoon- based vehicular communications, etc., all of which are characterized by the tightly coupled relationship between traffic dynamics and VANET behaviors. Expand
Automatically Labeled Data Generation for Large Scale Event Extraction
TLDR
This work proposes to automatically label training data for event extraction via world knowledge and linguistic knowledge, which can detect key arguments and trigger words for each event type and employ them to label events in texts automatically. Expand
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
TLDR
Both cascade and parallel convolutional recurrent neural network models for precisely identifying human intended movements and instructions by effectively learning the compositional spatio-temporal representations of raw EEG streams are introduced. Expand
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