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Gated Self-Matching Networks for Reading Comprehension and Question Answering
In this paper, we present the gated selfmatching networks for reading comprehension style question answering, which aims to answer questions from a given passage. We first match the question andExpand
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Drug repositioning by integrating target information through a heterogeneous network model
MOTIVATION The emergence of network medicine not only offers more opportunities for better and more complete understanding of the molecular complexities of diseases, but also serves as a promisingExpand
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Drug Target Predictions Based on Heterogeneous Graph Inference
A key issue in drug development is to understand the hidden relationships among drugs and targets. Computational methods for novel drug target predictions can greatly reduce time and costs comparedExpand
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A Fully Automated Robotic System for Microinjection of Zebrafish Embryos
As an important embodiment of biomanipulation, injection of foreign materials (e.g., DNA, RNAi, sperm, protein, and drug compounds) into individual cells has significant implications in genetics,Expand
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In Silico Gene Prioritization by Integrating Multiple Data Sources
Identifying disease genes is crucial to the understanding of disease pathogenesis, and to the improvement of disease diagnosis and treatment. In recent years, many researchers have proposedExpand
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Graph-based Dependency Parsing with Bidirectional LSTM
In this paper, we propose a neural network model for graph-based dependency parsing which utilizes Bidirectional LSTM (BLSTM) to capture richer contextual information instead of using high-orderExpand
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Multiway Attention Networks for Modeling Sentence Pairs
Modeling sentence pairs plays the vital role for judging the relationship between two sentences, such as paraphrase identification, natural language inference, and answer sentence selection. PreviousExpand
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Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
Pre-trained word embeddings and language model have been shown useful in a lot of tasks. However, both of them cannot directly capture word connections in a sentence, which is important forExpand
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Hand gesture recognition and virtual game control based on 3D accelerometer and EMG sensors
This paper describes a novel hand gesture recognition system that utilizes both multi-channel surface electromyogram (EMG) sensors and 3D accelerometer (ACC) to realize user-friendly interactionExpand
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Tapered Optical Fiber Sensor for Label-Free Detection of Biomolecules
This paper presents a fast, highly sensitive and low-cost tapered optical fiber biosensor that enables the label-free detection of biomolecules. The sensor takes advantage of the interference effectExpand
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