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ORCID14th ICDM 2014: Shenzhen, China
- Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu:
2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-4302-9
Regular Papers
- Shin Ando
, Einoshin Suzuki:
Discriminative Learning on Exemplary Patterns of Sequential Numerical Data. 1-10 - Aleksandr Y. Aravkin, Aurélie C. Lozano, Ronny Luss, Prabhanjan Kambadur:
Orthogonal Matching Pursuit for Sparse Quantile Regression. 11-19 - Konstantin Avrachenkov, Nelly Litvak, Liudmila Ostroumova Prokhorenkova, Eugenia Suyargulova:
Quick Detection of High-Degree Entities in Large Directed Networks. 20-29 - Prithu Banerjee, Sayan Ranu, Sriram Raghavan:
Inferring Uncertain Trajectories from Partial Observations. 30-39 - Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin:
Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. 40-49 - Bokai Cao, Xiangnan Kong, Philip S. Yu:
Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks. 50-59 - Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Factorized Similarity Learning in Networks. 60-69 - Shiyu Chang, Charu C. Aggarwal, Thomas S. Huang:
Learning Local Semantic Distances with Limited Supervision. 70-79 - Po-Ta Chen, Feng Chen, Zhen Qian:
Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields. 80-89 - Yao Cheng, Li'ang Yin, Yong Yu:
LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations. 90-99 - Freddy Chong Tat Chua, Ee-Peng Lim, Bernardo A. Huberman:
Detecting Flow Anomalies in Distributed Systems. 100-109 - Zhengming Ding, Yun Fu:
Low-Rank Common Subspace for Multi-view Learning. 110-119 - Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan:
Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. 120-129 - Sebastian Goebl, Xiao He, Claudia Plant, Christian Böhm:
Finding the Optimal Subspace for Clustering. 130-139 - San Gultekin, John W. Paisley:
A Collaborative Kalman Filter for Time-Evolving Dyadic Processes. 140-149 - Ting Guo, Xingquan Zhu, Jian Pei, Chengqi Zhang:
SNOC: Streaming Network Node Classification. 150-159 - Hossein Hamooni, Abdullah Mueen:
Dual-Domain Hierarchical Classification of Phonetic Time Series. 160-169 - Pierre Holat, Marc Plantevit, Chedy Raïssi, Nadi Tomeh, Thierry Charnois, Bruno Crémilleux:
Sequence Classification Based on Delta-Free Sequential Patterns. 170-179 - Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu:
Social Spammer Detection with Sentiment Information. 180-189 - Yan Hua, Shuhui Wang, Siyuan Liu, Qingming Huang, Anni Cai:
TINA: Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation. 190-199 - Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin:
Diverse Power Iteration Embeddings and Its Applications. 200-209 - Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin:
Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations. 210-219 - Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang:
Technology Prospecting for High Tech Companies through Patent Mining. 220-229 - Zhiwei Jin, Juan Cao, Yu-Gang Jiang, Yongdong Zhang:
News Credibility Evaluation on Microblog with a Hierarchical Propagation Model. 230-239 - How Jing, Shou-De Lin:
Neural Conditional Energy Models for Multi-label Classification. 240-249 - How Jing, An-Chun Liang, Shou-De Lin, Yu Tsao:
A Transfer Probabilistic Collective Factorization Model to Handle Sparse Data in Collaborative Filtering. 250-259 - David C. Kale, Dian Gong, Zhengping Che, Yan Liu, Gérard G. Medioni, Randall C. Wetzel, Patrick Ross:
An Examination of Multivariate Time Series Hashing with Applications to Health Care. 260-269 - Tuan M. V. Le, Hady Wirawan Lauw:
Probabilistic Latent Document Network Embedding. 270-279 - Chao Li, Jia Chen, Jun Luo:
Locating POS Terminals from Credit Card Transactions. 280-289 - Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery:
Detecting Campaign Promoters on Twitter Using Markov Random Fields. 290-299 - Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang:
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data. 300-309 - Kang Li, Sheng Li, Yun Fu:
Early Classification of Ongoing Observation. 310-319 - Meng-Hui Lim, Jian-Guang Lou, Hongyu Zhang, Qiang Fu, Andrew Beng Jin Teoh, Qingwei Lin, Rui Ding, Dongmei Zhang:
Identifying Recurrent and Unknown Performance Issues. 320-329 - Shuyang Lin, Qingbo Hu, Fengjiao Wang, Philip S. Yu:
Steering Information Diffusion Dynamically against User Attention Limitation. 330-339 - Yu-Ru Lin, Nan Cao, David Gotz, Lu Lu:
UnTangle: Visual Mining for Data with Uncertain Multi-labels via Triangle Map. 340-349 - Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong:
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. 350-359 - Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu:
Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. 360-369 - Stijn Luca, Peter Karsmakers, Bart Vanrumste:
Anomaly Detection Using the Poisson Process Limit for Extremes. 370-379 - Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi:
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. 380-389 - Yasuko Matsubara, Yasushi Sakurai, Naonori Ueda, Masatoshi Yoshikawa:
Fast and Exact Monitoring of Co-Evolving Data Streams. 390-399 - Samuel Maurus, Claudia Plant:
Ternary Matrix Factorization. 400-409 - Ryan McBride, Ke Wang, Wenyuan Li:
Classification by CUT: Clearance under Threshold. 410-419 - Yasir Mehmood, Nicola Barbieri, Francesco Bonchi:
Modeling Adoptions and the Stages of the Diffusion of Innovations. 420-429 - Felix Ming Fai Wong, Zhenming Liu, Mung Chiang:
Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization. 430-439 - Sebastián Moreno, Joseph J. Pfeiffer III, Jennifer Neville, Sergey Kirshner:
A Scalable Method for Exact Sampling from Kronecker Family Models. 440-449 - Abdullah Mueen, Hossein Hamooni, Trilce Estrada:
Time Series Join on Subsequence Correlation. 450-459 - Michael P. O'Brien, Blair D. Sullivan:
Locally Estimating Core Numbers. 460-469 - François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh:
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification. 470-479 - François Petitjean, Lloyd Allison, Geoffrey I. Webb:
A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data. 480-489 - Joseph J. Pfeiffer III, Jennifer Neville, Paul N. Bennett:
Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning. 490-499 - Te Pi, Xi Li, Zhongfei Zhang:
Structural Bregman Distance Functions Learning to Rank with Self-Reinforcement. 500-509 - Claudia Plant:
Metric Factorization for Exploratory Analysis of Complex Data. 510-519 - Zhi Qiao, Peng Zhang, Wenjia Niu, Chuan Zhou, Peng Wang, Li Guo:
Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction. 520-529 - Emre Sefer, Carl Kingsford:
Diffusion Archaeology for Diffusion Progression History Reconstruction. 530-539 - Yilin Shen, Hongxia Jin:
Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy. 540-549 - Amine Trabelsi, Osmar R. Zaïane:
Mining Contentious Documents Using an Unsupervised Topic Model Based Approach. 550-559 - Jaideep Vaidya, Ibrahim Yakut, Anirban Basu:
Efficient Integrity Verification for Outsourced Collaborative Filtering. 560-569 - Hongjian Wang, Zhenhui Li, Wang-Chien Lee:
PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors. 570-579 - Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry L. Taylor:
MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs. 580-589 - Jia Wu, Zhibin Hong, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang:
Multi-graph-view Learning for Graph Classification. 590-599 - Ke Wu, Kun Zhang, Wei Fan, Andrea Edwards, Philip S. Yu:
RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection. 600-609 - Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong:
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. 610-619 - Zhiqiang Xu, Yiping Ke, Yi Wang:
A Fast Inference Algorithm for Stochastic Blockmodel. 620-629 - Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia:
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. 630-639 - Chong Yang, Xiaohui Yu, Yang Liu:
Continuous KNN Join Processing for Real-Time Recommendation. 640-649 - Yibo Yao, Lawrence B. Holder:
Scalable SVM-Based Classification in Dynamic Graphs. 650-659 - Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Towards Scalable and Accurate Online Feature Selection for Big Data. 660-669 - Yisong Yue, Patrick Lucey, Peter Carr, Alina Bialkowski, Iain A. Matthews:
Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction. 670-679 - Changqing Zhang, Yahong Han, Xiaojie Guo, Xiaochun Cao:
Output Feature Augmented Lasso. 680-686 - Ya Zhang, Yi Wei, Jianbiao Ren:
Multi-touch Attribution in Online Advertising with Survival Theory. 687-696 - Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu:
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. 697-706
Short Papers
- Sunil Aryal, Kai Ming Ting, Gholamreza Haffari, Takashi Washio:
Mp-Dissimilarity: A Data Dependent Dissimilarity Measure. 707-712 - Roland Assam, Thomas Seidl:
Check-in Location Prediction Using Wavelets and Conditional Random Fields. 713-718 - Manasi Belhe, Kriti Shrivastava, Maitreya Natu, Vaishali P. Sadaphal:
Janus - Analytics-Driven Transition Planner. 719-724 - Alina Bialkowski, Patrick Lucey, Peter Carr, Yisong Yue, Sridha Sridharan, Iain A. Matthews:
Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data. 725-730 - Christian Brinker, Eneldo Loza Mencía, Johannes Fürnkranz:
Graded Multilabel Classification by Pairwise Comparisons. 731-736 - Jeffrey Chan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. 737-742 - Swarup Chandra, Justin Sahs, Latifur Khan, Bhavani Thuraisingham, Charu C. Aggarwal:
Stream Mining Using Statistical Relational Learning. 743-748 - Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu:
Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery. 749-754 - Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan, B. Aditya Prakash:
Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models. 755-760 - Ling Chen, Xue Li, Sen Wang, Hsiao-Yun Hu, Nicole Huang, Quan Z. Sheng, Mohamed A. Sharaf:
Mining Personal Health Index from Annual Geriatric Medical Examinations. 761-766 - Yu Cheng, Ankit Agrawal, Alok N. Choudhary, Huan Liu, Tao Zhang:
Social Role Identification via Dual Uncertainty Minimization Regularization. 767-772 - Mohamed Dermouche, Julien Velcin, Leila Khouas, Sabine Loudcher:
A Joint Model for Topic-Sentiment Evolution over Time. 773-778 - Nemanja Djuric, Vladan Radosavljevic, Mihajlo Grbovic, Narayan Bhamidipati:
Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting. 779-784 - Anna Drummond, Yanxin Lu, Swarat Chaudhuri, Christopher M. Jermaine, Joe Warren, Scott Rixner:
Learning to Grade Student Programs in a Massive Open Online Course. 785-790 - Anna Drummond, Christopher M. Jermaine:
Senders, Receivers and Authors in Document Classification. 791-796 - Jianguang Du, Jing Jiang, Liu Yang, Dandan Song, Lejian Liao:
Shell Miner: Mining Organizational Phrases in Argumentative Texts in Social Media. 797-802 - Lan Du, John K. Pate, Mark Johnson:
Topic Models with Topic Ordering Regularities for Topic Segmentation. 803-808 - Wouter Duivesteijn, Julia Thaele:
Understanding Where Your Classifier Does (Not) Work - The SCaPE Model Class for EMM. 809-814 - Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah:
Ring-Shaped Hotspot Detection: A Summary of Results. 815-820 - Yifan Fu, Junbin Gao, Xia Hong, David Tien:
Tensor Regression Based on Linked Multiway Parameter Analysis. 821-826 - Carolina Simoes Gomes, José Nelson Amaral, Jörg Sander, Joran Siu, Li Ding:
Heavyweight Pattern Mining in Attributed Flow Graphs. 827-832 - Quanquan Gu, Jiawei Han:
Online Spectral Learning on a Graph with Bandit Feedback. 833-838 - Lifang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu:
Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems. 839-844 - Bo Hu, Martin Ester:
Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks. 845-850 - Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu:
Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. 851-856 - Aiqing Huang, Linli Xu, Yitan Li, Enhong Chen:
Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework. 857-862 - David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Russel Pears:
Detecting Volatility Shift in Data Streams. 863-868 - Younghoon Kim, Wooyeol Kim, Kyuseok Shim:
Latent Ranking Analysis Using Pairwise Comparisons. 869-874 - Matthias Kormaksson, Luciano Barbosa, Marcos R. Vieira, Bianca Zadrozny:
Bus Travel Time Predictions Using Additive Models. 875-880 - Nils M. Kriege, Marion Neumann, Kristian Kersting, Petra Mutzel:
Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels. 881-886 - Chia-Tung Kuo, Peter B. Walker, Owen T. Carmichael, Ian Davidson:
Spectral Clustering for Medical Imaging. 887-892 - Carson Kai-Sang Leung, Richard Kyle MacKinnon:
Fast Algorithms for Frequent Itemset Mining from Uncertain Data. 893-898 - Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao:
Spotting Fake Reviews via Collective Positive-Unlabeled Learning. 899-904 - Guannan Liu, Yanjie Fu, Tong Xu, Hui Xiong, Guoqing Chen:
Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns. 905-910 - Rui Liu, Kiyana Zolfaghar, Si-Chi Chin, Senjuti Basu Roy, Ankur Teredesai:
A Framework to Recommend Interventions for 30-Day Heart Failure Readmission Risk. 911-916 - Chen Luo, Wei Pang, Zhe Wang, Chenghua Lin:
Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations. 917-922 - Andrii Maksai, Jasmina Bogojeska, Dorothea Wiesmann:
Hierarchical Incident Ticket Classification with Minimal Supervision. 923-928 - Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito:
A Gaussian Process Model for Knowledge Propagation in Web Ontologies. 929-934 - Shishir Pandey, Rahul Vaze:
Mutual Information Based Output Dimensionality Reduction. 935-940 - Jesse Read, Antti Puurula, Albert Bifet:
Multi-label Classification with Meta-Labels. 941-946 - Matteo Riondato, David García-Soriano, Francesco Bonchi:
Graph Summarization with Quality Guarantees. 947-952 - Yoshiki Sakai, Kenji Yamanishi:
Data Fusion Using Restricted Boltzmann Machines. 953-958 - Neil Shah, Alex Beutel, Brian Gallagher, Christos Faloutsos:
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. 959-964 - Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng:
Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization. 965-970 - Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. 971-976 - Lei Shi, Liang Du, Yi-Dong Shen:
Robust Spectral Learning for Unsupervised Feature Selection. 977-982 - Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin:
Flow-Based Influence Graph Visual Summarization. 983-988 - Kijung Shin, U Kang:
Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization. 989-994 - Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul:
Parallel Corpus Approach for Name Matching in Record Linkage. 995-1000 - Changxia Tao, Yong Ge, Qinbao Song, Yuan Ge, Olufemi A. Omitaomu:
Metric Ranking of Invariant Networks with Belief Propagation. 1001-1006 - Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi:
High-Dimensional Data Stream Classification via Sparse Online Learning. 1007-1012 - Fei Wang, Wei Liu, Sanjay Chawla:
On Sparse Feature Attacks in Adversarial Learning. 1013-1018 - Wenquan Wang, Wenbin Cai, Ya Zhang:
Stability-Based Stopping Criterion for Active Learning. 1019-1024 - Yuan Wang, Jie Liu, Jishi Qu, Yalou Huang, Jimeng Chen, Xia Feng:
Hashtag Graph Based Topic Model for Tweet Mining. 1025-1030 - Geoffrey I. Webb:
Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data. 1031-1036 - Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou:
Scalable Multi-instance Learning. 1037-1042 - Yu Ting Wen, Po-Ruey Lei, Wen-Chih Peng, Xiaofang Zhou:
Exploring Social Influence on Location-Based Social Networks. 1043-1048 - Leting Wu, Xintao Wu, Aidong Lu, Yuemeng Li:
On Spectral Analysis of Signed and Dispute Graphs. 1049-1054 - Fei Xie, Xindong Wu, Xingquan Zhu:
Document-Specific Keyphrase Extraction Using Sequential Patterns with Wildcards. 1055-1060 - Jianpeng Xu, Pang-Ning Tan, Lifeng Luo:
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting. 1061-1066 - Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen:
Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels. 1067-1072 - Jie Yang, Henry C. M. Leung, Siu-Ming Yiu, Yunpeng Cai, Francis Y. L. Chin:
Learning Sparse Gaussian Bayesian Network Structure by Variable Grouping. 1073-1078 - Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu:
Learning from Label and Feature Heterogeneity. 1079-1084 - Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan:
Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. 1085-1090 - Yangtao Wang, Lihui Chen:
K-MEAP: Generating Specified K Clusters with Multiple Exemplars by Efficient Affinity Propagation. 1091-1096 - Nayyar Abbas Zaidi, Mark James Carman, Jesús Cerquides, Geoffrey I. Webb:
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression. 1097-1102 - Xianchao Zhang, Long Zhao, Linlin Zong, Xinyue Liu, Hong Yu:
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization. 1103-1108 - Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen:
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. 1109-1114 - Fang Zhou, Claire Q, Ross D. King:
Predicting the Geographical Origin of Music. 1115-1120 - Yada Zhu, Jingrui He:
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing. 1121-1126 - Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Çam, Xifeng Yan, Jiawei Han:
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. 1127-1132 - Kaja Zupanc, Zoran Bosnic:
Automated Essay Evaluation Augmented with Semantic Coherence Measures. 1133-1138
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