Mo Yu  Mo Yu photo       

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA

links



2017

A Structured Self-attentive Sentence Embedding
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio
ICLR, 2017

Comparative Study of CNN and RNN for Natural Language Processing
Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Sch\"utze
arXiv preprint arXiv:1702.01923, 2017

Improved Neural Relation Detection for Knowledge Base Question Answering
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cicero dos Santos, Bing Xiang, Bowen Zhou
ACL, 2017


2016

End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
Wei Zhang*, Yang Yu*, Kazi Hasan, Mo Yu, Bing Xiang, Bowen Zhou
arXiv preprint arXiv:1610.09996, 2016

Simple Question Answering by Attentive Convolutional Neural Network
Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Sch\
Coling, 2016

Embedding Lexical Features via Low-Rank Tensors
Mo Yu, Mark Dredze, Raman Arora, Matthew Gormley
NAACL, 2016

Leveraging Sentence-level Information with Encoder LSTM for Natural Language Understanding
Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu
EMNLP, 2016


2015

An Empirical Study of Chinese Name Matching and Applications.
Nanyun Peng, Mo Yu, Mark Dredze
ACL (2), pp. 377--383, 2015

A Concrete Chinese NLP Pipeline.
Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, others
HLT-NAACL, pp. 86--90, 2015

Improved relation extraction with feature-rich compositional embedding models
Matthew R Gormley, Mo Yu, Mark Dredze
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 1774--1784

Learning composition models for phrase embeddings
Mo Yu, Mark Dredze
Transactions of the Association for Computational Linguistics3, 227--242, 2015

Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
Mo Yu, Matthew Gormley, Mark Dredze
North American Chapter of the Association for Computational Linguistics (NAACL), 2015


2014

Factor-based compositional embedding models
Mo Yu, Matthew Gormley, Mark Dredze
NIPS Workshop on Learning Semantics, pp. 95--101, 2014

Improving Lexical Embeddings with Semantic Knowledge.
Mo Yu, Mark Dredze
ACL (2), pp. 545--550, 2014

Accelerated mini-batch randomized block coordinate descent method
Tuo Zhao, Mo Yu, Yiming Wang, Raman Arora, Han Liu
Advances in neural information processing systems, pp. 3329--3337, 2014


2013

Large Scale Semi-supervised Linear SVM with Stochastic Gradient Descent⋆
Xin ZHOU, Conghui ZHU, Sheng LI, Mo YU
Journal of Computational Information Systems 9(15), 6251--6258, 2013

结构化学习的噪声可学习性分析及其应用
于墨, 赵铁军, 胡鹏龙, 郑德权
软件学报 24(10), 002340--2353, 2013

Learning Domain Differences Automatically for Dependency Parsing Adaptation.
Mo Yu, Tiejun Zhao, Yalong Bai
IJCAI, 2013

Compound Embedding Features for Semi-supervised Learning.
Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu
HLT-NAACL, pp. 563--568, 2013

Cross-lingual Projections between Languages from Different Families
Mo Yu, Tiejun Zhao, Yalong Bai, Hao Tian, Dianhai Yu
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 312--317, 2013


2012

Locally training the log-linear model for SMT
Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 402--411


2011

Semi-supervised learning for word sense disambiguation using parallel corpora
Mo Yu, Shu Wang, Conghui Zhu, Tiejun Zhao
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on, pp. 1490--1494

Semi-supervised learning framework for cross-lingual projection
PengLong Hu, Mo Yu, Jing Li, CongHui Zhu, TieJun Zhao
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on, pp. 213--216

Target-dependent twitter sentiment classification
Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, Tiejun Zhao
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pp. 151--160, 2011


2010

Possible from Images
Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma
Online Multimedia Advertising: Techniques and Technologies: Techniques and Technologies, 67, IGI Global, 2010

Diversifying landmark image search results by learning interested views from community photos
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Ying Ma
Proceedings of the 19th international conference on World wide web, pp. 1289--1292, 2010

Event Entailment Extraction Based on EM Iteration
Zhen Li, Hanjing Li, Mo Yu, Tiejun Zhao, Sheng Li
Asian Language Processing (IALP), 2010 International Conference on, pp. 101--104

A Sequence Kernel Method for Chinese Subcategorization Analysis
Xiwu HAN, Mo YU, Conghui ZHU, Tiejun ZHAO
Chinese Journal of Electronics 19(3), 2010


2009

Argo: intelligent advertising made possible from users' photos
Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma
Proceedings of the 17th ACM international conference on Multimedia, pp. 957--958, 2009

Advertising based on users' photos
Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on, pp. 1640--1643

Argo: intelligent advertising by mining a user's interest from his photo collections
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying Ma
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising, pp. 18--26, 2009

Chinese Word Segmenter Based on Discriminative Classifiers Integration [J]
Conghui ZHU, Tiejun ZHAO, Mo YU
Journal of Information and Computational Science 6(3), 1155--1162, 2009

Argo: intelligent advertising made possible from users' photos
Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma
Proceedings of the 17th ACM international conference on Multimedia, pp. 957--958, 2009

Advertising based on users' photos
Xin-Jing Wang, Mo Yu, Lei Zhang, Wei-Ying Ma
2009 IEEE International Conference on Multimedia and Expo, pp. 1640--1643

Argo: intelligent advertising by mining a user's interest from his photo collections
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying Ma
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising, pp. 18--26, 2009




Technical Areas