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Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
This study focuses on hashtag-level sentiment classification, which aims to automatically generate the overall sentiment polarity for a given hashtag in a certain time period, and proposes a novel graph model and three approximate collective classification algorithms for inference.
Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences
- B. Liu, Fule Liu, Xiaolong Wang, Junjie Chen, Longyun Fang, K. Chou
- Computer Science, BiologyNucleic Acids Res.
- 9 May 2015
This article proposes a much more flexible web server called Pse-in-One, which can, through its 28 different modes, generate nearly all the possible feature vectors for DNA, RNA and protein sequences, and can also generate those feature vectors with the properties defined by users themselves.
Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation
A new neural network approach is presented that takes consideration of the semantic representations of mention, context and entity, encodes them in continuous vector space and effectively leverages them for entity disambiguation.
Kinship Measurement on Salient Facial Features
A recently developed descriptor, i.e., DAISY, is adapted to the problem to represent the salient features, and a dynamic scheme is developed to stochastically combine familial traits.
Deeply-Learned Feature for Age Estimation
- Xiaolong Wang, Rui Guo, C. Kambhamettu
- Computer ScienceIEEE Winter Conference on Applications of…
- 5 January 2015
A new framework for age feature extraction based on the deep learning model is built and experimental results show that the proposed approach is significantly better than the state-of-the-art.
Drug-Drug Interaction Extraction via Convolutional Neural Networks
- Shengyu Liu, Buzhou Tang, Qingcai Chen, Xiaolong Wang
- Computer ScienceComput. Math. Methods Medicine
- 31 January 2016
This work proposed a CNN-based method for DDI extraction that achieves an F-score of 69.75%, which outperforms the existing best performing method by 2.75% and demonstrates that CNN is a good choice for D DI extraction.
A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
- Buzhou Tang, Xiaolong Wang, Xuan Wang, B. Yuan, Shixi Fan
- Computer ScienceCoNLL Shared Task
- 15 July 2010
This paper presents a system based on a cascade method for the CoNLL-2010 shared task, which achieves the best result on biological corpus for hedge detection and the scope of hedges.
Fault reactivation and earthquakes with magnitudes of up to Mw4.7 induced by shale-gas hydraulic fracturing in Sichuan Basin, China
It would be beneficial for the geoscience, gas operator, regulator, and academic communities to work collectively to elucidate the local factors governing the high level of injection-induced seismicity, with the ultimate goal of ensuring that shale gas fracking can be carried out effectively and safely.
iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition
It is anticipated that the iDNA-Prot|dis predictor may become a useful high throughput tool for large-scale analysis of DNA-binding proteins, or at the very least, play a complementary role to the existing predictors in this regard.
Using Amino Acid Physicochemical Distance Transformation for Fast Protein Remote Homology Detection
The proposed method SVM-PDT achieves superior or comparable performance with current state-of-the-art methods and its computational cost is considerably superior to those of other methods.