计算机科学与技术学院

学术成果

DBLP - Lan Man

https://dblp.uni-trier.de/pid/01/800.html

Semantic Scholar - Lan Man

https://www.semanticscholar.org/author/Man-Lan/143745020

部分会议论文：

[1] Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang, Man Lan. Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title. ACL, July,2019.

[2] Tao Ji, Yuanbin Wu, and Man Lan. Graph-based Dependency Parsing with Graph Neural Networks. ACL, July,2019.

[3] Yunxiao Zhou, Man Lan, Wenting Wang. Hierarchical Intention Enhanced Network for Automatic Dialogue Coherence Assessment. IJCNN, July,2019.

[4] Yuhuan Xiu, Qingqing Wang, Hongjian Zhan, Man Lan, Yue Lu. A Handwritten Chinese Text Recognizer Applying Multi-level Multimodal Fusion Network.ICDAR, Aug, 2019.

[5] Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan.A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. AAAI 2018: 451-458.

[6] Chenrui Li, Yuanbin Wu, Man Lan. Inference on Syntactic and Semantic Structures for Machine Comprehension. AAAI 2018: 5844-5851.

[7] Tao Ji, Yufang Liu, Yijun Wang, Yuanbin Wu, Man Lan. AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing. CoNLL Shared Task (2) 2018: 248-255.

[8] Junfeng Tian, Man Lan, Yuanbin Wu, Jingang Wang, Long Qiu, Sheng Li, Jun Lang, Luo Si. An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity. ECIR 2018: 89-101.

[9] Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu. Extracting Entities and Relations with Joint Minimum Risk Training. EMNLP 2018: 2256-2265.

[10] Xingwu Lu, Man Lan, Yuanbin Wu. Memory-Based Model with Multiple Attentions for Multi-turn Response Selection. ICONIP (2) 2018: 296-307.

[11] Feixiang Wang, Man Lan, Wenting Wang.Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning. IJCNN 2018: 1-8.

[12] Zhiheng Zhou, Man Lan, Yuanbin Wu. A Neural Generation-based Conversation Model Using Fine-grained Emotion-guide Attention. IJCNN 2018: 1-8.

[13] Xingwu Lu, Man Lan, Yuanbin Wu. Memory-Based Matching Models for Multi-turn Response Selection in Retrieval-Based Chatbots. NLPCC (1) 2018: 269-278.

[14] Tao Ji, Yuanbin Wu, Man Lan. A Fast and Lightweight System for Multilingual Dependency Parsing. CoNLL Shared Task (2) 2017: 237-242.

[15] Qi Zhang, Man Lan, Yuanbin Wu, Changzhi Sun, Shiliang Sun. Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network. EACL 2017: 1033-1043.

[16] Man Lan, Jianxiang Wang, Yuanbin Wu, Zheng-Yu Niu, Haifeng Wang. Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification. In the Proceeding of Conference on Empirical Methods in Natural Language Processing. Copenhagen, Denmark ,September7–11, 2017.

[17] Zhiheng Zhou, Man Lan, Yuanbin Wu, Jun Lang. Single turn Chinese emotional conversation generation based on information retrieval and question answering. IALP 2017: 103-106.

[18] Yuhuan Xiu, Man Lan, Yuanbin Wu, Jun Lang. Exploring semantic content to user profiling for user cluster-based collaborative point-of-interest recommender system. IALP 2017: 268-271.

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

[20] Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang, Xuanjing Huang. A Learning Error Analysis for Structured Prediction with Approximate Inference. NIPS 2017: 6131-6141.

[21] Yunxiao Zhou, Man Lan and Yuanbin Wu. Effective Semantic Relationship Classification of Context-free Chinese Words with Simple Surface and Embedding Features. In the 6th Conference on Natural Language Processing and Chinese Computing, Dalian, China, 8-12 November 2017.

[22] 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.

[23] 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.

[24] Feixiang Wang, Yunxiao Zhou, Man Lan. Dimensional Sentiment Analysis of Traditional Chinese Words Using Pre-trained Not-quite-right Sentiment Word Vectors and Supervised Ensemble Models. IALP, 2016.

[25] 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.

[26] 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.

[27] 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).

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

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

[30] 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.

[31] 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.

[32] 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.

[33] 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.

[34] 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

[35] 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.

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系统. 计算机应用，2016年第36卷第3期.

[2] Man LAN, Chew Lim TAN, Jian SU, Yue LU. Supervised and Traditional Term Weighting Methods for Automatic Text Categorization. IEEE 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 Classification. Journal of Biomedical Informatics. July, 2009, 42, pp866–872.

[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.

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