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• On exploiting transient social contact patterns for data forwarding in delay-tolerant networks

  Gao, W., Cao, G., La Porta, T. & Han, J., Jan 1 2013, In: IEEE Transactions on Mobile Computing. 12, 1, p. 151-165 15 p., 6086545.

  Research output: Contribution to journal › Article › peer-review

  • Delay tolerant networks
  • Electric power distribution
  • Costs

• On discovery of traveling companions from streaming trajectories

  Tang, L. A., Zheng, Y., Yuan, J., Han, J., Leung, A., Hung, C. C. & Peng, W. C., 2012, In: Proceedings - International Conference on Data Engineering. p. 186-197 12 p., 6228083.

  Research output: Contribution to journal › Conference article › peer-review

  • Trajectories
  • Data structures
  • Monitoring
  • Costs
  • Experiments

• On detecting Association-Based Clique Outliers in heterogeneous information networks

  Gupta, M., Gao, J., Yan, X., Cam, H. & Han, J., 2013, Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, p. 108-115 8 p. (Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous networks
  • Costs

• On building entity recommender systems using user click log and freebase knowledge

  Yu, X., Ma, H., Hsu, B. J. & Han, J., 2014, WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 263-272 10 p. (WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Recommender systems
  • Search engines
  • Industry

• Node, motif and subgraph: Leveraging network functional blocks through structural convolution

  Yang, C., Liu, M., Zheng, V. W. & Han, J., Oct 24 2018, Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. Tagarelli, A., Reddy, C. & Brandes, U. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 47-52 6 p. 8508729. (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolution
  • Node
  • Graph
  • Toxicity
  • Proteins

• NewsNetExplorer: Automatic construction and exploration of news information networks

  Tao, F., Brova, G., Han, J., Ji, H., Wang, C., Norick, B., El-Kishky, A., Liu, J., Ren, X. & Sun, Y., 2014, SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1091-1094 4 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Large dataset
  • Electric network analysis
  • Information retrieval
  • Information technology
  • Data mining

• Neural embedding propagation on heterogeneous networks

  Yang, C., Zhang, J. & Han, J., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 698-707 10 p. 8970814. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous networks
  • Supervised learning
  • Labels
  • Embeddings (Algorithms)
  • Learning algorithms

• Network A/B Testing: From sampling to estimation

  Gui, H., Xu, Y., Bhasin, A. & Han, J., May 18 2015, WWW 2015 - Proceedings of the 24th International Conference on World Wide Web. Association for Computing Machinery, Inc, p. 399-409 11 p. (WWW 2015 - Proceedings of the 24th International Conference on World Wide Web).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sampling
  • Testing
  • Experiments
  • Hazardous materials spills
  • Websites

• Multi-view clustering via joint nonnegative matrix factorization

  Liu, J., Wang, C., Gao, J. & Han, J., Jan 1 2013, Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013. Ghosh, J., Obradovic, Z., Dy, J., Zhou, Z-H., Kamath, C. & Parthasarathy, S. (eds.). Siam Society, p. 252-260 9 p. (Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Factorization
  • Clustering
  • Clustering algorithms
  • Clustering Algorithm
  • Matrix Factorization

• Multi-Domain Integration and Correlation Engine

  Dron, W., Hunter, A., Sydney, A., Pal, S., Hancock, J., Scott, L., Abdelzaher, T., Han, J., Adali, S. & Horne, B., Jan 2 2019, 2018 IEEE Military Communications Conference, MILCOM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1074-1079 6 p. 8599706. (Proceedings - IEEE Military Communications Conference MILCOM; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Engines
  • Sensor networks
  • Machine learning
  • Data reduction
  • Image sensors

• Multidimensional sensor data analysis in cyber-physical system: An atypical cube approach

  Tang, L. A., Yu, X., Kim, S., Han, J., Peng, W. C., Sun, Y., Leung, A. & La Porta, T., 2012, In: International Journal of Distributed Sensor Networks. 2012, 724846.

  Research output: Contribution to journal › Article › peer-review

  • Cyber Physical System
  • Sensor networks
  • Sensors
  • Clustering algorithms
  • Monitoring

• Multidimensional analysis of atypical events in cyber-physical data

  Tang, L. A., Yu, X., Kim, S., Han, J., Peng, W. C., Sun, Y., Gonzalez, H. & Seith, S., 2012, In: Proceedings - International Conference on Data Engineering. p. 1025-1036 12 p., 6228153.

  Research output: Contribution to journal › Conference article › peer-review

  • Cyber Physical System
  • Clustering algorithms
  • Macros
  • Sensor networks
  • Cameras

• MoveMine 2.0: Mining object relationships from movement data

  Wu, F., Lei, T. K. H., Li, Z. & Han, J., 2014, In: Proceedings of the VLDB Endowment. 7, 13, p. 1613-1616 4 p.

  Research output: Contribution to journal › Article › peer-review

  • Animals
  • User interfaces
  • Tuning

• Modeling truth existence in truth discovery

  Zhi, S., Zhao, B., Tong, W., Gao, J., Yu, D., Ji, H. & Han, J., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1543-1552 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tuning
  • Experiments

• Modeling check-in preferences with multidimensional knowledge: A minimax entropy approach

  Wang, J., Li, M., Han, J. & Wang, X., Feb 8 2016, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 297-306 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Entropy

• Modeling and exploiting heterogeneous bibliographic networks for expertise ranking

  Deng, H., Han, J., Lyu, M. R. & King, I., Jul 11 2012, JCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries. p. 71-80 10 p. (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous networks
  • Bibliographies
  • Industry

• MiTexCube: MicroTextCluster Cube for online analysis of text cells and its applications

  Zhang, D., Zhai, C. & Han, J., Jun 1 2013, In: Statistical Analysis and Data Mining. 6, 3, p. 243-259 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Regular hexahedron
  • Text
  • Cell
  • Text processing
  • Text Analysis

• Mining trajectory data and geotagged data in social media for road map inference

  Li, J., Qin, Q., Han, J., Tang, L. A. & Lei, K. H., Feb 1 2015, In: Transactions in GIS. 19, 1, p. 1-18 18 p.

  Research output: Contribution to journal › Article › peer-review

  • social media
  • trajectory
  • labor
  • commercial vehicle
  • road

• Mining Structures from Massive Text Data: A Data-Driven Approach

  Han, J., Jan 1 2017, In: CEUR Workshop Proceedings. 2029, p. 16-19 4 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Big data

• Mining strong relevance between heterogeneous entities from unstructured biomedical data

  Ji, M., He, Q., Han, J. & Spangler, S., Jul 8 2015, In: Data Mining and Knowledge Discovery. 29, 4, p. 976-998 23 p.

  Research output: Contribution to journal › Article › peer-review

  • Semantics
  • Search engines

• Mining sensor data in cyber-physical systems

  Tang, L. A., Han, J. & Jiang, G., Jun 2014, In: Tsinghua Science and Technology. 19, 3, p. 225-234 10 p., 6838193.

  Research output: Contribution to journal › Article › peer-review

  • Cyber Physical System
  • Sensors
  • Data mining
  • Traffic control
  • Information management

• Mining reliable information from passively and actively crowdsourced data

  Gao, J., Li, Q., Zhao, B., Fan, W. & Han, J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2121-2122 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Crowdsourcing
  • Agglomeration

• Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks

  Zhuang, H., Zhang, J., Brova, G., Tang, J., Cam, H., Yan, X. & Han, J., Jan 1 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. Institute of Electrical and Electronics Engineers Inc., p. 1127-1132 6 p. 7023458. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2015-January, no. January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heterogeneous networks
  • Anomaly detection
  • Tuning
  • Semantics
  • Experiments

• Mining quality phrases from massive text corpora

  Liu, J., Shang, J., Wang, C., Ren, X. & Han, J., May 27 2015, SIGMOD 2015 - Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1729-1744 16 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data; vol. 2015-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Big data
  • Semantics
  • Experiments

• Mining periodic behaviors of object movements for animal and biological sustainability studies

  Li, Z., Han, J., Ding, B. & Kays, R., Mar 1 2012, In: Data Mining and Knowledge Discovery. 24, 2, p. 355-386 32 p.

  Research output: Contribution to journal › Article › peer-review

  • Animals
  • Sustainable development
  • Climate change
  • Ecosystems
  • Autocorrelation

• Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach

  Kim, H., El-Kishky, A., Ren, X. & Han, J., Dec 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 105-114 10 p. 9006049. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Proximity
  • Modeling
  • News
  • Tsunamis
  • Data structures

• Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation

  Wang, J., Tong, W., Yu, H., Li, M., Ma, X., Cai, H., Hanratty, T. & Han, J., Jan 5 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 429-438 10 p. 7373347. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Mining lines in the sand: On trajectory discovery from untrustworthy data in cyber-physical system

  Tang, L. A., Yu, X., Gu, Q., Han, J., Leung, A. & La Porta, T., Aug 11 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery, p. 410-418 9 p. 2487585. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Cyber Physical System
  • Sand
  • Trajectories
  • Sensors
  • Miners

• Mining latent entity structures from massive unstructured and interconnected data

  Han, J. & Wang, C., 2014, SIGMOD 2014 - Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, p. 1409-1410 2 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Information retrieval
  • Explosions
  • Big data
  • Information management
  • Websites

• Mining knowledge from interconnected data: A heterogeneous information network analysis approach

  Sun, Y., Han, J., Yan, X. & Yu, P. S., Aug 2012, In: Proceedings of the VLDB Endowment. 5, 12, p. 2022-2023 2 p.

  Research output: Contribution to journal › Article › peer-review

  • Electric network analysis
  • Semantics
  • Data storage equipment

• Mining knowledge from data: An information network analysis approach

  Han, J., Sun, Y., Yan, X. & Yu, P. S., Jul 30 2012, In: Proceedings - International Conference on Data Engineering. p. 1214-1217 4 p., 6228171.

  Research output: Contribution to journal › Conference article › peer-review

  • Electric network analysis
  • Data mining
  • Students

• Mining heterogeneous information networks: The next frontier

  Han, J., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 2-3 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining
  • Medical information systems
  • Heterogeneous networks
  • Health care
  • Big data

• Mining graph patterns

  Cheng, H., Yan, X. & Han, J., Jul 1 2014, Frequent Pattern Mining. Springer International Publishing, Vol. 9783319078212. p. 307-338 32 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Bioinformatics
  • Electric network analysis
  • Computer vision

• Mining evidences for named entity disambiguation

  Li, Y., Wang, C., Han, F., Han, J., Roth, D. & Yan, X., Aug 11 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery, p. 1070-1078 9 p. 2487681. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics

• Mining event periodicity from incomplete observations

  Li, Z., Wang, J. & Han, J., Sep 14 2012, KDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 444-452 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Global positioning system
  • Data mining
  • Uncertainty
  • Sensors
  • Experiments

• Mining entity synonyms with efficient neural set generation

  Shen, J., Lyu, R., Ren, X., Vanni, M., Sadler, B. & Han, J., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, p. 249-256 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classifiers
  • Set theory
  • Semantics
  • Experiments

• Mining diversity on social media networks

  Liu, L., Zhu, F., Jiang, M., Han, J., Sun, L. & Yang, S., Jan 2012, In: Multimedia Tools and Applications. 56, 1, p. 179-205 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Electric network analysis
  • Websites
  • Availability
  • Semantics
  • Bandwidth

• Mining discriminative patterns to predict health status for cardiopulmonary patients

  Cheng, Q., Shang, J., Juen, J., Han, J. & Schatz, B., Oct 2 2016, ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Association for Computing Machinery, Inc, p. 41-49 9 p. (ACM-BCB 2016 - 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Smartphone
  • Health Status
  • Data Anonymization
  • Health
  • Walking

• Mining collective intelligence in diverse groups

  Qi, G. J., Aggarwal, C. C., Han, J. & Huang, T., 2013, WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web. Association for Computing Machinery, p. 1041-1051 11 p. (WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • World Wide Web
  • Statistical Models

• Meta-path-based search and mining in heterogeneous information networks

  Sun, Y. & Han, J., Aug 2013, In: Tsinghua Science and Technology. 18, 4, p. 329-338 10 p., 06574671.

  Research output: Contribution to journal › Article › peer-review

  • Semantics
  • Feedback

• MetaPAD: Meta pattern discovery from massive text corpora

  Jiang, M., Shang, J., Cassidy, T., Ren, X., Kaplan, L. M., Hanratty, T. P. & Han, J., Aug 13 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 877-886 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiments

• Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights

  Yang, C., Feng, Y., Li, P., Shi, Y. & Han, J., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 657-666 10 p. 8594890. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics
  • Embeddings (Algorithms)
  • Graph theory
  • Supervised learning
  • Set theory

• MedRank: Discovering influential medical treatments from literature by information network analysis

  Chen, L., Li, X. & Han, J., Jan 1 2013, Proceedings of the 24th Australasian Database Conference, ADC 2013. Wang, H. & Zhang, R. (eds.). Australian Computer Society, p. 3-12 10 p. (Conferences in Research and Practice in Information Technology Series; vol. 137).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electric network analysis

• MACFP: Maximal approximate consecutive frequent pattern mining under edit distance

  Shang, J., Peng, J. & Han, J., 2016, 16th SIAM International Conference on Data Mining 2016, SDM 2016. Venkatasubramanian, S. C. & Meira, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 558-566 9 p. (16th SIAM International Conference on Data Mining 2016, SDM 2016).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Computational complexity
  • Genomics
  • Hamming distance
  • Time series analysis
  • DNA sequences

• Locally discriminative coclustering

  Zhang, L., Chen, C., Bu, J., Chen, Z., Cai, D. & Han, J., May 7 2012, In: IEEE Transactions on Knowledge and Data Engineering. 24, 6, p. 1025-1035 11 p., 5740883.

  Research output: Contribution to journal › Article › peer-review

  • Linear regression
  • Clustering algorithms
  • Labels

• Local learning for mining outlier subgraphs from network datasets

  Gupta, M., Mallya, A., Roy, S., Cho, J. H. D. & Han, J., Jan 1 2014, SIAM International Conference on Data Mining 2014, SDM 2014. Zaki, M. J., Banerjee, A., Parthasarathy, S., Ning-Tan, P., Obradovic, Z. & Kamath, C. (eds.). Society for Industrial and Applied Mathematics Publications, p. 73-81 9 p. (SIAM International Conference on Data Mining 2014, SDM 2014; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining

• Locality preserving feature learning

  Gu, Q., Danilevsky, M., Li, Z. & Han, J., Jan 1 2012, In: Journal of Machine Learning Research. 22, p. 477-485 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Linear transformations
  • Locality
  • Learning
  • Indexing
  • Integer programming

• Link prediction across aligned networks with sparse & low rank matrix estimation

  Zhang, J., Chen, J., Zhi, S., Chang, Y., Yu, P. S. & Han, J., May 16 2017, Proceedings - 2017 IEEE 33rd International Conference on Data Engineering, ICDE 2017. IEEE Computer Society, p. 971-982 12 p. 7930040. (Proceedings - International Conference on Data Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiments

• Life-iNet: A structured network-based knowledge exploration and analytics system for life sciences

  Ren, X., Shen, J., Qu, M., Wang, X., Wu, Z., Zhu, Q., Jiang, M., Tao, F., Sinha, S., Liem, D., Ping, P., Weinshilboum, R. & Han, J., 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations. Association for Computational Linguistics (ACL), p. 55-60 6 p. (ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Life Sciences
  • life sciences
  • Search engines
  • search engine
  • Tar

• Liberal event extraction and event schema induction

  Huang, L., Cassidy, T., Feng, X., Ji, H., Voss, C. R., Han, J. & Sil, A., 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 258-268 11 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • induction
  • Induction
  • event
  • Meaning Representation
  • Event Structures