Ph.D. Candidate Computer Science Department Courant Institute of Mathematical Sciences New York University

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1 XIANG LI CONTACT INFORMATION Ph.D. Candidate Computer Science Department Courant Institute of Mathematical Sciences New York University 719 Broadway Room 706 New York, New York 10003, USA Phone: (212) Website: EDUCATION NEW YORK UNIVERSITY, New York, NY 2011 Present Ph.D. in Computer Science Advisor: Professor Raph Grishman GPA: 3.92 / 4.00 QUEENS COLLEGE, CITY UNIVERSITY OF NEW YORK, New York, NY B.S. in Computer Science Advisor: Professor Heng Ji Cumulative GPA: 3.97 / 4.00 Major GPA: 4.00 / 4.00 Honor Degree Undergraduate Student NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS, Nanjing, China 2007 B.S. in Flight Vehicle Design and Engineering RESEARCH INTERESTS Natural Language Processing (Information Extraction, Sentiment Analysis, Question Answering, etc.), Machine Learning, Information Retrieval and Spoken Language Understanding. Large-Scale Algorithms for Language Understanding and Text Mining. PROFESSIONAL EXPERIENCE New York University, New York, NY Research Assistant Advisor: Prof. Ralph Grishman 09/2011 Present Organization Resolution (work-in-progress): Study the impact of information extraction for resolving organization names to the corresponding entities, and automatically construct large-scale coreference resolution datasets. Event Extraction (ACL-IJCNLP 2015 workshop, RANLP 2015): Improve Event Extraction by exploiting the semantic knowledge encoded in Abstract Meaning Representation and applying novel techniques, including dependency regularization, pattern expansion, active learning, and etc. NYU TAC-KBP Slot Filling System (TAC 2012, RANLP 2013, TAC 2014): Participate in the Knowledge Base Population (KBP) evaluation of the annual Text Analysis Conference (TAC) organized by U.S. National Institute of Standards and Technology (NIST). Developed the query expansion component, the confidence estimation component, the weighted voting based combination component, etc. The NYU Slot Filling system is consistently ranked as a top-tier-performance system 4 years in a row: 1st place in 2011; 1st place in 2012 without consulting entity resources (2nd place overall); 4th place in Furthermore, the NYU Cold Start system ranked 2nd place in both 2013 and of 6

2 Scientific Literature Information Extraction (RANLP 2013): Research on Information Extraction in multidisciplinary scientific literature, including the introduction of a coarse-tofine grained citation function annotation scheme, sentiment analysis based citation function classification, and the identification of emerging scientific technologies and theories. Yahoo! Labs, New York, NY 06/ /2015 Intern Scientist Mentors: Dr. Sungjin Lee and Dr. Aasish Pappu Manager: Dr. Amanda Stent Improving Personalization for Large-scale Content Recommendation with Semantic Knowledge Graphs: Modeling user interests is an important challenge for personalized search and recommendation. Traditional systems usually infer users interests from surfacelevel features derived from online activity logs. We conduct a systematic study to show the effectiveness of deep semantic knowledge encoded in the queries and contents on modeling users interests. Besides, we also implement a MapReduce framework that enables scaling our solution to real-world recommendation problems. Microsoft Research, Mountain View, CA 06/ /2014 Research Intern Mentors: Dr. Gokhan Tur and Dr. Dilek Hakkani-Tür Personal Knowledge Graph Population in Spoken Language Understanding (SLT 2014): Propose a novel Spoken Language Understanding framework aiming to construct personal (user-centric) knowledge graphs from user spoken utterances. This approach contains three main language understanding components: Personal Assertion Classification, Relation Detection, and Slot Filling. This is a pioneering study for systematically building personal knowledge graphs in human/machine conversational systems. Distributed Open-Domain Conversational Understanding Framework with Domain Independent Extractors (SLT 2014): Propose a distributed dialog infrastructure where each domain or provider is agnostic of others, and processes the user utterances independently using their own knowledge or models, so that a new domain and new provider can be easily incorporated in. In addition, to facilitate each service provider building their own SLU models or algorithms, we introduce a new component, extractors, to provide intermediate semantic annotations such as entity mention tags. Inome, Inc., Bellevue, WA 05/ /2013 Research Intern Mentor: Dr. Ang Sun Research, design, and implement scalable approaches in following projects to support people search and record linkage: (1) Address Parsing (ACM SIGSPATIAL GIS 2014, CIKM 2014 workshop): build address parsing systems for efficiently parsing large-scale (billions) addresses with MapReduce. (2) Person Name Parsing (SIGMOD/PODS 2015 workshop): develop person-name parser for linking user web profiles. (3) Web Reference Purge: implement a web reference purge system to verify the linkage between the people profiles and the associated web references. (4) Information Extraction for Personal Professional History: extract information from personal professional history. (5) Entity Linking of Social Networks: link user profiles of social networks (i.e., Twitter, Facebook, etc.) to the person/organization profiles in databases through entity linking. 2 of 6

3 Queens College, City University of New York, New York, NY 02/ /2011 Research Assistant Advisor: Prof. Heng Ji Rich Annotation Guided Learning (IMMM 2011, IJAIS): Propose better utilization of the valuable knowledge possessed by human annotators in the system development. This can be achieved by asking annotators to provide rich annotations for feature encoding. The rich annotations can come at multiple levels such as highlighting and generalizing contexts, and providing high-level comments. We propose a general framework to exploit such rich annotations from human annotators. SRL-driven New Event Type Discovery (PACLIC 2010): Since it is a costly task to discover and annotate novel events, event arguments, and event types, we exploit both monolingual texts and bilingual sentence-aligned parallel texts to cluster event triggers and discover novel event types. We then generate event argument annotations semi-automatically, framed as a sentence ranking and semantic role labeling task. Experiments on three different corpora have demonstrated that our domain-independent methods can significantly speed up the entire event discovery and annotation process while maintaining high quality. Carbon Sequestration (LREC 2010): Given a collection of scientific literature in the carbon sequestration domain (which domain aims to reduce carbon emissions), we identify a set of centroid experiments, and link and order the observations and events centered around these experiments on temporal or causal chains. We describe the fundamental challenges on annotations and propose our general solutions to address them. BLENDER TAC-KBP Slot Filling System (TAC 2010): We propose two bottom-up Information Extraction style pipelines and a top-down Question Answering style pipeline to address this task, and also several novel approaches to enhance these pipelines, including statistical answer re-ranking and Markov Logic Networks based cross-slot reasoning. Cross-lingual Information Extraction (ACL 2011 workshop): We introduce a new task of crosslingual slot filling which aims to discover attributes for entity queries from crosslingual comparable corpora and then present answers in a desired language. We propose a novel supervised rescoring based validation approach to incorporate global evidence from very large bilingual comparable corpora. Joint Inference for Cross-document Information Extraction (CIKM 2011): We propose a joint inference approach based on information network structure to conduct cross-fact reasoning with an integer linear programming framework. Other projects: (1) Learning hierarchical relationships among partially ordered objects with heterogeneous attributes and links (collaborated with UIUC, SDM 2012); (2) Temporal information extraction to automatically determine temporal boundaries for entity attributes. SELECTED PUBLICATIONS [1] Xiang Li, Thien Huu Nguyen, Kai Cao, and Ralph Grishman. Improving Event Detection with Abstract Meaning Representation. Proceedings of ACL-IJCNLP Workshop on Computing News Storylines (CNewS 2015), [2] Kai Cao, Xiang Li, Miao Fan, and Ralph Grishman. Improving Event Detection with Active Learning. Proceedings of Recent Advances in Natural Language Processing (RANLP), of 6

4 [3] Kai Cao, Xiang Li, and Ralph Grishman. Improving Event Detection with Dependency Regularization. Proceedings of Recent Advances in Natural Language Processing (RANLP), [4] Sujatha Das Gollapalli, Xiang Li, Ang Sun, Hakan Kardes, and Xin Wang. Person-Name Parsing for Linking User Web Profiles. Proceedings of the 2015 ACM SIGMOD/PODS Workshop on Web and Databases (WebDB 2015), [5] Thien Huu Nguyen, Yifan He, Maria Pershina, Xiang Li, and Ralph Grishman. New York University 2014 Knowledge Base Population Systems. Proceedings of Text Analysis Conference (TAC), [6] Xiang Li, Gokhan Tur, Dilek Hakkani-Tür, and Qi Li. Personal Knowledge Graph Population from User Utterances in Conversational Understanding. Proceedings of 2014 IEEE Spoken Language Technology Workshop (SLT), [7] Qi Li, Gokhan Tur, Dilek Hakkani-Tür, Xiang Li, Tim Paek, Asela Gunawardana, and Chris Quirk. Distributed Open-Domain Conversational Understanding Framework with Domain Independent Extractors. Proceedings of 2014 IEEE Spoken Language Technology Workshop (SLT), [8] Xiang Li, Hakan Kardes, Xin Wang, and Ang Sun. HMM-based Address Parsing: Efficiently Parsing Billions of Addresses on MapReduce. Proceedings of 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), [9] Xiang Li, Hakan Kardes, Xin Wang, and Ang Sun. HMM-based Address Parsing with Massive Synthetic Training Data Generation. Proceedings of 4th International Workshop on Location and the Web (LocWeb) in conjunction with 23rd International Conference on Information and Knowledge Management (CIKM), [10] Xiang Li and Ralph Grishman. Confidence Estimation for Knowledge Base Population. Proceedings of Recent Advances in Natural Language Processing (RANLP), [11] Xiang Li, Yifan He, Adam Meyers, and Ralph Grishman. Towards Fine-grained Citation Function Classification. Proceedings of Recent Advances in Natural Language Processing (RANLP), [12] Bonan Min, Xiang Li, Ralph Grishman, and Ang Sun. New York University 2012 System for KBP Slot Filling. Proceedings of Text Analytics Conference (TAC), [13] Xiang Li, Heng Ji, Hao Li, Wen-Pin Lin, Faisal Farooq, and Shipeng Yu. Rich Annotation Guided Learning: Bridging the Knowledge Gap between Human Annotator and Feature Engineer. Invited Paper for International Journal on Advances in Intelligent Systems (IJAIS), v 5 n 3&4, [14] Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin, and Heng Ji. Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links. Proceedings of 2012 SIAM International Conference on Data Mining (SDM), [15] Xiang Li, Wen-Pin Lin, and Heng Ji. Comment-guided Learning: Bridging the Knowledge Gap between Expert Assessor and Feature Engineer. Proceedings of International Conference on Advances in Information Mining and Management (IMMM), [16] Qi Li, Sam Anzaroot, Wen-Pin Lin, Xiang Li, and Heng Ji. Joint Inference for Crossdocument Information Extraction. Proceedings of 20th ACM Conference on Information and Knowledge Management (CIKM), of 6

5 [17] Matthew Snover, Xiang Li, Wen-Pin Lin, Zheng Chen, Suzanne Tamang, Mingmin Ge, Adam Lee, Qi Li, Hao Li, Sam Anzaroot, and Heng Ji. Cross-lingual Slot Filling from Comparable Corpora. Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL) Workshop on Building and Using Comparable Corpora, [18] Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Wen-Pin Lin, Javier Artiles, Matthew Snover, Marissa Passantino, and Heng Ji. CUNY-BLENDER TAC-KBP2010 Entity Linking and Slot Filling System Description. Proceedings of Text Analytics Conference (TAC), [19] Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Marissa Passantino, and Heng Ji. Top-down and Bottom-up: A Combined Approach to Slot Filling. Lecture Notes in Computer Science, Volume 6458, pp , [20] Hao Li, Xiang Li, Heng Ji, and Yuval Marton. Domain-Independent Novel Event Discovery and Semi-Automatic Event Annotation. Proceedings of Pacific Asia Conference on Language, Information and Computing (PACLIC), [21] Heng Ji, Xiang Li, Angelo Lucia, and Jianting Zhang. Annotating Event Chains for Carbon Sequestration Literature. Proceedings of the Language Resources and Evaluation Conference (LREC), PRESENTATIONS [1] Building User Profiles for Content Recommendation with Deep Semantic Knowledge". Yahoo! Labs, New York, NY, August, [2] Improving Event Detection with Abstract Meaning Representation". Proceedings of ACL-IJCNLP Workshop on Computing News Storylines, Beijing, China, July, [3] Personal Knowledge Graph Population from User Utterances in Conversational Understanding". Microsoft Research, Mountain View, CA, August, [4] Confidence Estimation for Knowledge Base Population". Microsoft Research, Mountain View, CA, June, [5] Towards Fine-grained Citation Function Classification". Proceedings of Recent Advances in Natural Language Processing (RANLP), Hissar, Bulgaria, September, [6] Confidence Estimation for Knowledge Base Population". Proceedings of Recent Advances in Natural Language Processing (RANLP), Hissar, Bulgaria, September, [7] The NYU 2012 KBP Slot Filling System: Confidence Estimation for Slot Filling". Text Analysis Conference (TAC), U.S. National Institute of Standards and Technology (NIST), November, PATENTS [1] Personal Knowledge Graph Population from User Utterances in Conversational Understanding" - U.S. Patent pending, [2] Efficient and Scalable HMM-based Address Parsing" - U.S. Patent pending, HONORS AND AWARDS IEEE Spoken Language Technology Workshop (SLT 2014), South Lake Tahoe Best Rated Poster Presentation Award 12/2014 Text Analysis Conference (TAC), NIST KBP Slot Filling 3rd in TAC2010; 1st in TAC2011; 2nd in TAC2012; 4th in TAC2014. KBP Cold Start 2nd in TAC2013 and TAC of 6

6 New York University, New York McCracken Scholarship 2011 Present Queens College, City University of New York, New York Dean s List The Abe Rothenberg Memorial Award 2011 Honors in Computer Science 2011 Honor Degree Undergraduate Student 2011 Nanjing University of Aeronautics and Astronautics, Nanjing, China Honors Scholarship Student Leadership Scholarship Freshmen Scholarship 2005 PROFESSIONAL SERVICE Reviewer EMNLP 2013, RANLP 2013, IJCNLP 2013 Program Committee Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL) 2012 TEACHING EXPERIENCE New York University, New York Teaching Assistant for CSCI-UA.0101: Introduction to Computer Science Fall 2014 Undergraduate level course in Computer Science Spring 2015 Professor: Dr. Tim Mitchell Teaching Assistant for CSCI-GA.2590: Natural Language Processing Spring 2013 Graduate level course in Natural Language Processing Spring 2015 Professor: Prof. Ralph Grishman MC Academy, New York Tutor for high school students 02/ /2010 High school level courses in Math, Physics, Chemistry, etc. STUDENT ACTIVITIES Nanjing University of Aeronautics and Astronautics, Nanjing, China Vice President for Student Association 09/ /2007 Lead the social actives, alumni events, annual banquet, and sports activities Organized community services, festal celebrations, and new students orientation Assisted in designing and managing the association s website Heads of social and service committee COMPUTER AND LANGUAGE SKILLS Computer Skills Java, Python, Perl, C, C++, Lisp, UNIX shell scripting, Pig, and R Hadoop, Lucene, SQL, MySQL, Git, SVN, and TEX (L A TEX, BIBTEX) Languages Mandarin Chinese (native) and English (fluent) REFERENCES Available upon request. 6 of 6