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Lanman

      

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  • Office: (North Zhongshan Road Campus) Science Building #B911
  • Address: Room B911, Science Buidling, No 3663, North Zhongshan Road,Shanghai, P.R.China (200062)

Education

WorkExperience

Resume

Other Appointments

Research Fields

Data Mining, Machine learning, Natural Language Processing,Information Extraction,Information Retrieval

Enrollment and Training

Course

Scientific Research

Academic Achievements

部分会议论文

[1]Man Lan, Jianxiang Wang, Yuanbin Wu, Zheng-YuNiu, Haifeng Wang. Multi-task Attention-based Neural Networks for ImplicitDiscourse Relationship Representation and Identification. In the Proceeding of Conferenceon Empirical Methods in Natural Language Processing. Copenhagen, Denmark ,September7–11, 2017.

[2]Mengxiao Jiang, Jianxiang Wang, Man Lan andYuanbin Wu. An Effective Gated andAttention-based Neural Network Model for Fine-grained FinancialTarget-dependent Sentiment Analysis. In the Proceeding of the 10thInternational Conference on Knowledge Science, Engineering and Management. Melbourne,Australia. 19-20 August 2017.

[3]Yunxiao Zhou, Man Lan and Yuanbin Wu.Effective Semantic RelationshipClassification of Context-free Chinese Words with Simple Surface and EmbeddingFeatures. In the 6th Conference on Natural Language Processing and ChineseComputing, Dalian, China, 8-12 November 2017.

[4]Man Lan, Zhihua Zhang, Yue Lu, Ju Wu. Three Convolutional Neural Network-based Models for Learning Sentiment Word Vectors towards Sentiment Analysis. IJCNN 2016, July 24-29, 2016, Vancouver, Canada.

[5]Man Lan, Guoshun Wu, Chunyun Xiao, Yuanbin Wu, Ju Wu. Building Mutually Beneficial Relationships Between Question Retrieval and Answer Ranking to Improve Performance of Community Question Answering. IJCNN 2016, July 24-29, 2016, Vancouver, Canada.

[6]Jianxiang Wang, Man Lan. Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task. CoNLL 2016, August 7-12, 2016, Berlin, Germany.

[7]Jiang Zhao, Man Lan, Zheng-Yu Niu, Yue Lu. Integrating Word Embeddings and Traditional NLP Features to Measure Textual Entailment and Semantic Relatedness of Sentence Pairs. IJCNN 2015, July 12-17, 2015, Killarney, Ireland.

[8]Jianxiang Wang and Man Lan. Build a High Performance End-to-end Explicit Discourse Parser for Practical Application. KSEM 2015, October 28-30, 2015 Chongqing, China (Best Paper Award).

[9]Jianxiang Wang, Man Lan. A Refined End-to-End Discourse Parser. CoNLL 2015, July 28-30, 2015, Beijing, China.

[10]Zhihua Zhang, Man Lan. Learning Sentiment-inherent Word Embedding for Word-level and Sentence-Level Sentiment Analysis. IALP 2015, October24-25, 2015, Suzhou, China.

[11]Jiang Zhao, Man Lan*, Zheng-Yu Niu, Donghong Ji. Recognizing Cross-lingual Textual Entailment with Co-training using Similarity and Difference Views. IJCNN 2014, 6-11 July 2014, Beijing, China.

[12]Jiang Zhao, Tiantian Zhu, Man Lan*. ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic Relatedness and Textual Entailment. International Workshop on Semantic Evaluation in COLing 2014, 23-29 Aug 2014, Dublin, Ireland.

[13]Tiantian Zhu and Man Lan*. ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation. International Workshop on Semantic Evaluation in COLing 2014, 23-29 Aug 2014, Dublin, Ireland.

[14]Man Lan, Yu Xu and Zheng-Yu Niu. Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition. ACL 2013, 3-9 August 2013, Sofia, Bulgaria.

[15]Mohtarami Mitra, Man Lan, and Chew Lim Tan. Probabilistic Sense Sentiment Similarity through Hidden Emotions. The 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013, 3-9 August 2013, Sofia, Bulgaria

[16]Jiang Zhao, Man Lan and Zheng-Yu Niu. ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures. SemEval Workshop in NAACL 2013, 10-15 June 2013, Atlanta, USA.

[17]Yu Xu, Man Lan*, Zheng-Yu Niu, Chew Lim Tan and Yue Lu. Connective Prediction using Machine Learning for Implicit Discourse Relation Classification. IJCNN 2012, 10-15 June 2012, Brisbane, Australia.

[18]Zhi Min Zhou, Man Lan*, Zheng-Yu Niu and Yue Lu. Exploiting user profile information for answer ranking in cQA. CQA workshop in WWW 2012, 16-20 April 2012, Lyon, France.


期刊论文

[1]张志华,王建祥,田俊峰,吴国顺,兰曼. CCML 2015 基于多元特征的分块人物关系识别统. 计算机应用,2016年第36卷第03.

[2]Man LAN, Chew Lim TAN, Jian SU, Yue LU. Supervised and Traditional Term Weighting Methods for Automatic Text CategorizationIEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Vol 31, No. 4, pages 721-735, April, 2009.

[3]Man LAN, Chew Lim TAN, Jian SU Feature Generation and Representations for Protein-Protein Interaction ClassificationJournal of Biomedical Informatics. July, 2009, 42, pp866872.

[4]Man LAN and Jian SU. Empirical investigations into full-text protein interaction article categorization task (ACT) in the BioCreative II.5 Challenge. IEEE/ACM Transactions on Computational Biology and Bioinformatics (T-CBB). 2010.



Honor

10 Visits

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