``Large Neural Models' Self-Learning Symbolic Knowledge", Keynote speech at Spotlights Symposium by Data Science Institute at Bar-Ilan University, 2023
``Large Neural Models' Self-Learning Symbolic Knowledge'' at Seventh International Workshop on Symbolic-Neural Learning (SNL2023), 2023
``Joint Text and Molecule Learning for Drug Discovery'' at NeurIPS2023 Workshop on Open-World Knowledge Discovery, 2023
``Large Neural Models' Self-Learning Symbolic Knowledge'' at ICML2023 Workshop on Knowledge Reasoning, 2023
``Joint Text and Molecule Learning for Drug Discovery'' at Korean NLP Symposium, 2023
``Knowledge-Driven Vision-Language Pretraining", Tutorial at Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI2023) Tutorial
``Knowledge-Driven Vision-Language Pretraining", Tutorial at The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2023)
``Large Neural Models' Self-Learning Symbolic Knowledge", Invited Talk at Distinguished Lecture Series at Columbia University, 2023.
``InfoSurgeon: Misinformation Detection, Response Prediction, Correction", Invited talk the Federal Information Integrity R\&D Interagency Working Group (IIRD IWG) briefing, 2023.
``Large Neural Models' Self-Learning Symbolic Knowledge", Invited Talk at University of California San Diego.
``Large Neural Models' Self-Learning Symbolic Knowledge", Invited Talk at University of Texas at Austin, 2023.
``Large Neural Models' Self-Learning Symbolic Knowledge", Distinguished Speech at Washington University in St. Louis, 2023.
``Large Neural Models' Self-Learning Symbolic Knowledge" at Tsinghua University, 2023.
``Large Neural Models' Self-Learning Symbolic Knowledge" at Peking University, 2023.
``Large Neural Models' Self-Learning Symbolic Knowledge" at Chinese Academy of Sciences, 2023.
``Joint Molecule and Language Learning for Drug Discovery" at Center for the Transformation of Chemistry, 2023.
``Joint Molecule and Language Learning for Drug Discovery" at NeurIPS 2023 Workshop on Graph Learning Frontiers, 2023.
``Joint Molecule and Language Learning for Drug Discovery" at Walgreens Boots Alliance, 2023.
``Two Problems that Cannot be done by Large Language Models Alone" at Amazon Alexa AI, 2023.
``What Can't Large Language Models Do?" at UIUC CS STAR Program, 2023.
``How to Seek and Secure Funding" at Grainger College of Engineering Panel, 2023.
``Cross-media Cross-lingual Information Surgery" at Text Analysis Conference (TAC), 2023.
``SmartBook: AI Assisted Situation Report Generation" at The Academic Fringe Festival, 2023.
2022
``Few-shot Event Argument Extraction via Natural Language or Programming Language Generation'' at AKBC2022 Workshop on Weakly Supervised Information Extraction.
``Joint Molecule and Language Learning for Scientific Discovery" at NIH, 2022.
``NLP for Smart Health'' at VinUni University, 2022
``Knowledge Extraction from Biomedical Literature'' at NIH, 2022
``Schema-guided Event Prediction'' at NAACL2022 Workshop on Structured and Unstructured Knowledge Integration, 2022
``Schema-guided Event Prediction'' at National University of Singapore, 2022
``Schema-guided Event Prediction'', Invited Talk at NAACL2022 Workshop on Structured and Unstructured Knowledge Integration.
``Building an Event Extractor for Any Language within Half an Hour'', EMNLP2022 Workshop on Massively Multilingual Natural Language Understanding.
``Falling in Love (again) with Structures'', Next Big Ideas Pleneary Session Invited Talk at the 60th Annual Meeting of the Association for Computational Linguistics (ACL2022).
``New Frontiers of Scientific Text Mining: Tasks, Data, and Tools", Tutorial at 2022 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2022)
``The Battlefront of Combating Misinformation and Coping with Media Bias", Tutorial at 2022 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2022)
``The Battlefront of Combating Misinformation and Coping with Media Bias", Tutorial at The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP2022)
``Translation between Molecules and Natural Language'', Invited Talk at Graph Machine Learning Summit.
``Multilingual Information Extraction'', Guest Lecture at Carnegie Mellon University.
``Information Surgery: Faking Multimedia Fake News for Real Fake News Detection'', Invited Talk at University of Pennsylvania.
``What's in a chemical Entity?'', Invited Talk at IBM Research.
``Information Surgery: Faking Multimedia Fake News for Real Fake News Detection'', Invited Talk at 2022 Midwest Big Data Summer School at Iowa State University.
``Knowledge Graph Construction from Biomedical Literature'', Invited Talk at the 5th Illinois Health Data Analytics Summit.
``Information Surgery: Faking Multimedia Fake News for Real Fake News Detection'', Invited Talk at Amazon Alexa AI.
``Multilingual Event Extraction'', Guest Lecture at Carnegie Mellon University, 2022.
``What's a Chemical Entity: from a Computer Scientist's view'', MMLI annual symposium, 2022.
``New Frontiers of Information Extraction", Tutorial at The 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT2022).
``Modern Natural Language Processing Techniques for Scientific Web Mining: Tasks, Data, and Tools", Tutorial at The ACM Web Conference 2022 (WWW2022).
``Deep Learning on Graphs for Natural Language Processing", Tutorial at The ACM Web Conference 2022 (WWW2022).
``Deep Learning on Graphs for Natural Language Processing", Tutorial at The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022).
2021
``Schema Induction for Event Prediction'', Invited Talk at Columbia University.
``Deep Learning on Graphs for Natural Language Processing", Tutorial at the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2021).
``Deep Learning on Graphs for Natural Language Processing", Tutorial at The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021).
``Event-centric Natural Language Processing", Tutorial at The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP2021).
``The Art of Doing Good Research'', Guest Lecture at UIUC Research Methods course.
``Why did Rachel break up with Ross?: Deep Movie QA with Multimedia Knowledge Graph Construction'', Keynote speech at ACL2021 Workshop on E-commerce for NLP.
``Information Surgery'', Keynote speech at IJCAI2021 Workshop on Applied Semantics Extraction and Analytics workshop.
``Information Surgery'', Keynote speech at Data Intelligence Annual Conference.
``What's in a Chemical Entity?'', Keynote speech at KDD2021 Workshop on Document Intelligence.
``Hierarchical Structured Event Schema Induction'', Keynote speech at ACL2021 Workshop on Structured Prediction for NLP.
``Information Surgery'', Invited Talk at University of Chicago.
``Information Surgery'', Invited Talk at Qatar Computing Research Institute.
``Information Surgery'', Invited Talk at Toronto Machine Learning Summit on NLP.
``Cross-lingual Cross-media Knowledge Extraction for Misinformation Detection'', Invited Talk at Twitter.
``Combining Symbolic Semantics and Distributional Semantics for Knowledge Graph Construction'', Invited Talk at Amazon Search.
"Event-Centric Natural Language Understanding'', Invited Talk at Microsoft Azure Cognitive Services.
"Event-centric Natural Language Processing", Tutorial at The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP2021).
"Knowledge-Enriched Natural Language Generation", Tutorial at The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021).
"Deep Learning on Graphs for Natural Language Processing", Tutorial at The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT2021).
"Deep Learning on Graphs for Natural Language Processing", Tutorial at The 30th International Joint Conference on Artificial Intelligence (IJCAI2021).
"Self-supervised Multimedia Knowledge Graph Reasoning and Fake News Generation for Misinformation Detection", Invited talk at ICML2021 workshop on self-supervised learning for reasoning and perception.
"Lifelong Information Extraction", Keynote speech at ACL2021 Workshop on Meta Learning for NLP.
"How to Write a History Book?", Keynote speech at Mexico Summer School on NLP.
"Information Surgery", Keynote speech at IEEE World AI IoT Congress 2021.
"Lifelong Information Extraction", Keynote speech at ICLR2021 Workshop on Weakly Supervised Learning.
"How to Write a History Book?", Invited Talk at STR.
"Symbolic Knowledge Acquisition and Reasoning for Information Extraction", Keynote Speech at WSDM2021 workshop on Machine Reasoning.
"How to Write a History Book?", Invited Talk at IBM Research.
"Knowledge Extraction to Accelerate Scientific Discovery", Invited Talk at Michigan Institute for Data Science (MIDAS) at University of Michigan.
"Event-Centric Natural Language Understanding", CS Colloquium at UMASS Lowell.
"Schema-Guided Event Extraction and Prediction", Keynote speech at AAAI2021 Workshop on Knowledge Discovery from Unstructured Data in Financial Services.
"Biomedical Information Extraction with More Structures and External Knowledge'', Keynote speech at AAAI2021 workshop on Trustworthy AI for Healthcare.
"Event-centric Natural Language Understanding", Tutorial at The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021).
2020
"Event-Centric Natural Language Understanding", Advanced Distinguished Lecture at CCF.
"Extracting, Assessing and Describing Scientific Knowledge", Invited Talk at Allen Institute for AI.
"Bring Structures and Symbols back to Knowledge Representation", Keynote speech at NeurIPS'20 workshop on Knowledge Representation and Reasoning Meets Machine Learning (KR2ML). (slides; talk video; panel video)
"Language Acquisition with Small Data", Keynote Speech at EMNLP2020 Workshop on Efficient and Simple NLP.
"Multimedia Multilingual Event Knowledge Base Construction", Distinguished Speech at University of Houston.
"Entity Discovery, Linking and Recommendation: Moving from Academia to Industry", Keynote speech at Amazon Workshop on Entity-Centric Language Understanding and Web Question Answering.
"My Journey to Natural Language Processing", Women in STEM club at the University Laboratory High School.
"The Art of Doing Good Research", Invited Guest Lecture at Research Skills for Graduate Students.
"Multimedia Knowledge Extraction", Invited Talk at Microsoft Dynamics 365 AI Research Summer High-Inspiring Research Talk Series.
"Information Surgeon", Invited Presentation to Army Science Board.
"Joint Entity Extraction, Linking and Recommendation", Keynote speech at ACL2020 Workshop on e-Commerce and NLP.
"COVID-19 Knowledge Graph Construction and Drug Repurposing Report Genertion from Scientific Literature", Invited talk at the Fourth ACSIC Symposium on Frontiers in Computing (SOFC).
"COVID-19 Knowledge Graph Construction and Drug Repurposing Report Genertion from Scientific Literature", Distinguished Speech at Computer Science Department, Ohio State University.
"Combining Symbolic Semantics and Distributional Semantics for Knowledge Representation", Keynote speech at NeurIPS'20 workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP).
"Event-centric Knowledge Base Construction", Keynote Speech at the 2nd annual conference on Automated Knowledge Base Construction.
"Call me a leader, not a woman leader", Keynote Speech at Next Decade of Artificial Intelligence Conference--Technology and Women Symposium.
"Information Surgeon", Keynote Speech at the 5th International Workshop on Social Sensing.
"How to write a History Book?", Invited talk at CUNY Graduate Center.
"Multimedia Curriculum Learning for Language Acquisition", Invite Talk at Mind and Machine Intelligence Summit.
"How to write a History Book?", Invited talk at Apple Research.
2019
"Universal Information Extraction", Invited talk at Sinica Taiwan.
"How to Extract Information without Violating Privacy", Keynote Speech at the Inevitable 2019 Conference.
"How to write a history book?", Keynote Speech at China National Conference on Computational Linguistics.
"Universal Information Extraction", Keynote Speech at World Artificial Intelligence Conference.
"Low-resource Information Extraction", Keynote Speech at EMNLP2019 Workshop on Deep Learning for Low-resource Natural Language Processing.
"Biomedical Knowledge Extraction and Description", Invited talk at National University of Singapore.
"Universal Information Extraction", Keynote Speech at Singapore Symposium on Natural Language Processing.
"Cross-lingual Cross-media Relation and Event Structure Transfer", Invited talk at Facebook.
"Let Language Invade Vision back: Incorporating Deep Language Analysis into Multimedia Knowledge Extraction", Panelist at ACM Multimedia 2019.
"Knowledge Extraction in Multimedia Journalism Era", Invited talk at Thomson Reuters.
"Universal Information Extraction", Invited talk at West Coast NLP summit.
"Universal Information Extraction", Invited talk at Renmin University.
"PaperRobot: Automated Scientific Knowledge Graph Construction and Paper Writing", Keynote Speech at China Conference on Knowledge Graph and Semantic Computing.
"Cross-lingual Cross-media Relation and Event Structure Transfer", Invited talk at Harbin Institute of Technology.
"Cross-lingual Cross-media Relation and Event Structure Transfer", Invited talk at Chinese Academy of Sciences.
"End-to-End Information Extraction", Keynote Speech at KDD2019 Workshop on Deep Learning on Graphs: Methods and Applications.
"Cross-lingual Structure Transfer", Invited talk at Alibaba.
"Enhancing Quality and Robustness of Biomedical Information Extraction", Keynote Speech at NAACL2019 Workshop on Clinical Natural Language Processing.
"PaperRobot: Speeding up Scientific Discovery", Featured Speech at the 3rd International Conference on AI+Adapative Education.
"Knowledge Base Population", Plenary Talk at Dagstuhl Workshop on Multi-Document Information Consolidation.
"Universal Information Extraction", Invited talk at Siemens Research, Montclair University, SRI International, City University of New York, Carnegie Mellon University, Johns Hopkins University, Columbia University.
2018
"Universal Information Extraction for Data Science", Distinguished Invited Speech at 2018 International Conference on Data Science.
"Universal Information Extraction for Information Retrieval", Keynote Speech at the Asia Information Retrieval Societies Conference (AIRS2018).
"Event Extraction and Tracking: Techniques and Challenges", Keynote Speech at COLING2018 Workshop on Events and Stories in the News.
"Universal Information Extraction for Data Science", Distinguished Invited Speech at 2018 International Conference on Data Science.
"Scientific Knowledge Extraction, Prediction and Paper Generation", Invited talks at Peking University and University of California Los Angeles.
"Cross-lingual Entity Discovery and Linking", Invited talk at Tsinghua University.
"Event Extraction and Tracking: Techniques and Challenges", Invited talks at Chinese Academy of Sciences and Shannon AI.
"Multi-lingual Entity Discovery and Linking", Tutorial at ACL2018 and CCL2018.
"Universal Information Extraction", Invited talk at IBM Research, Yale University, University of Massachusetts Amherst, Microsoft Research, University of North Carolina at Chapel Hill, University of Washington, Microsoft Research Asia.
"Knowledge Extraction from Scientific Literature", Invited talk at University of Massachusetts Amherst.
2017
"Universal Information Extraction", Invited talks at University of Waterloo, University of Illinois at Urbana-Champaign and Morgan Stanley.
"Overview of KBP2017 Multi-lingual Entity Discovery and Linking", Overview talk at NIST TAC-KBP Meeting.
"Cross-lingual Entity Disovery and Linking for 282 Languages", DARPA Demo Day.
"Multi-media Event Extraction and Recommendation", DARPA Demo Day.
"Joint Information Extraction for Intelligence Analysis", ARL Transition Day.
"Future of EDL", Overview talk at DEFT PI Meeting.
“Multimedia Information Extraction: Where is Our Gap and How to Fill it”, Invited talk at NSF Workshop on Future of Multimedia/Multimodal Research.
"Liberal Information Extraction", Distinguished CTO Data Science Lecture at Bloomberg.
"Entity Discovery and Linking for 282 Languages", Invited talk at Facebook.
2016
"Looking Forward to New KBP in Next Decade", Panel at NIST TAC-KBP Meeting.
"Entity Discovery and Linking in 2017 and Beyond", Overview talk at NIST TAC-KBP Meeting.
"Overview of KBP2016 Tri-lingual Entity Discovery and Linking and Its Impact on End-to-End KBP", Overview talk at NIST TAC-KBP Meeting.
"Liberal Information Extraction", Invited Talk at University College London.
"Biomedical Knowledge Discovery", Panel at SciDataCon2016 and invited talk at DARPA Smile Workshop.
"Information Extraction and Knowledge Base Population", Invited course for the 10th Russian Summer School in Information Retrieval. 200 slides or 300 slides.
"Scientific Knowledge Discovery", Round Table at World Economic Forum 2016.
"It's Coach, Not Chanel - Deep Learning for IE", Panelist at NAACL2016 Panel on Deep Learning and Its Implications for NLP.
"Information Exploration and Intelligence Analysis Room", Invited talk at IBM-RPI CISL Center Opening Ceremony.
"Information Extraction: the Gap between Academic Requirement and User Requirement", Panelist at DHS Retreat.
"Automatic Entity Recognition and Typing in Massive Text Data", Tutorial at SIGMOD2016.
"Liberal Information Extraction on the Fly", Invited talk at Chinese Academy of Sciences.
"Cross-lingual Cross-media Knowledge Extraction, Linking, Inference and Transfer", Invited talks at eBay Machine Learning and Data Science Conference and IBM Research.
2015
"Automatic Cross-media Event Schema Construction and Knowledge Population", Keynote speech at NIPS2015 Multimodal Machine Learning Workshop, and
Beijing University of Posts and Telecommunications.
"Cross-lingual Cross-media Knowledge Extraction, Linking, Inference and Transfer", Invited talks at Tsinghua University and SRI International.
"Knowledge Base Population: From Conservative to Liberal", Invited talks at University of Notre Dame, and Beijing University of Posts and Telecommunications.
"Overview of KBP2015 Tri-lingual Entity Discovery and Linking", Overview talk at NIST TAC-KBP Meeting.
“Creating Appropriate and Fun Language in Social Media", Invited talk at Tencent.
"Morph Encoding and Decoding", Invited talk at Columbia University.
"Successful Data Mining Methods for NLP", Tutorial at ACL2015.
"From Mono-lingual to Cross-lingual Slot Filling", Overview talk at DARPA DEFT PI Meeting.
"Tri-lingual Entity Discovery and Linking", Overview talk at DARPA DEFT PI Meeting.
"From Mono-lingual to Cross-lingual: State-of-the-art Entity Discovery and Linking", Invited talk at JHU HLT-COE.
2014
"Knowledge Base Population: Looking Back and Looking Ahead", Invited talk at Alibaba and Zhejiang University.
"Information Extraction: Where have we been and where are we going", Overview talk at DARPA DEFT PI Meeting.
"Slot Filling Validation by Truth Finding", Invited talk at Peking University.
"Information Extraction", Invited lecture at Tsinghua University.
"Wikification and Beyond: The Challenges of Entity and Concept Grounding", Tutorial at ACL2014 and Advanced Disciplines Lecture at NLPCC2014.
2013
"Decoding and Encoding Morphs", Invited talk at UTDallas and Tsinghua University.
"Information Extraction: Techniques, Advances and Challenges", Invited talk at Union College CS Seminar Series.
"From Big Data to Information, From Information to Knowledge", Invited talk at RPI Dean’s Seminar Series, Chinese Academy of Social Science, and Keynote speech at the 12th China National Conference on Computational Linguistics.
"Resolving Information Morphs in Censored Data", Invited talks at Educational Testing Service (ETS), Peking University.
"Morphed Information Extraction, Resolution and Translation", Invited talks at Tsinghua University and Chinese academy of Sciences.
"Information Extraction: From Single-source to Cross-Source", Invited talk at Beijing University of Posts and Telecommunications, Beijing Information Science and Technology University.
“Joint Event Extraction via Structured Prediction with Global Features”, Invited talk at Suzhou University.
“Capturing Global Coherence for Cross-source Information Extraction”, Invited talks at Emory University, Florida International University, Florida State University, Georgia State University, George Washington University, Indiana University, Ohio State University, South Florida University, Information Science Institute/USC, UNC Charlotte, Rensselaer Polytechnic Institute, and Baidu Inc..
2012
"Temporal Information Extraction and Shallow Temporal Reasoning", Tutorial at COLING2012, December 2012.
"Temporal Knowledge Base Population", Invited talk at Intelligent Automation, Inc., November 2012.
"What's New with BLENDER Knowledge Base Population", Invited talk at Army Research Lab, November 2012.
"Temporal Knowledge Base Population", Invited talk at Rakuten NY, October 2012.
"Cross-source Information Extraction", CUNY Junior Faculty Award Reception, October 2012.
"Temporal Knowledge Base Population", Invited talk at Columbia University, October 2012.
"Information Extraction: Techniques, Advances and Challenges ". Invited Lecture at NAACL Summer School, June 2012.
“From News to Tweets: Adapting Information Processing Techniques”. Invited talk at IBM T. J. Watson Research Center, June 2012.
“Research Career in Natural Language Processing: Excitement, Challenges and Beyond”. Invited talk at CUNY Summer Undergraduate Research Program, June 2012.
2011
Leveraging Redundancy for Cross-Source Information Extraction, Fusion and Inference. Yahoo Data Sciences Seminar Series, Rutgers University. October 2011.
Constructing Information Networks from Texts. University of Illinois at Urbana-Champaign. September 2011.
What's New with Knowledge Base Population. University of Illinois at Urbana-Champaign. September 2011.
Leveraging Redundancy for Cross-Source Information Extraction, Fusion and Inference. University of Illinois at Urbana-Champaign, Artificial Intelligence and Intelligent Systems Seminar. September 2011.
Leveraging Redundancy for Cross-Source Information Extraction. CUNY-NLP Seminar. September 2011.
Web-Scale Knowledge Discovery and Information Extraction from Unstructured Data. Invited Talk at Web Seminar, Army Research Lab Information Network Academic Research Center. June 2011.
Knowledge Base Extraction and Population from Natural Languages. Invited Talk at Baruch College, CUNY. May 2011.
Cross-lingual Knowledge Base Population. Invited Talk at Army Research Lab. May 2011.
Natural Language Processing: An Interdisciplinary Major in Computer Science. Invited Talk at Woman in Math Conference. March 2011.
2010
Web-Scale Knowledge Discovery and Population from Unstructured Data, Keynote Speech ACLCLP 2010 IR workshop, December 2010.
Overview of the TAC2010 Knowledge Base Population Track, Keynote Speech at Web People Search (WePS-3) Conference, September 2010.
Knowledge and Resources for Multi-lingual Temporal Event Tracking”. Invited talk at NAACL 2010 Chinese temporal/discourse annotation workshop.
"Cross-Media Cross-document Cross-domain Cross-lingual Information Extraction and Fusion". Invited talk at Army Research Lab.
Information Extraction and Knowledge Discovery from Scientific Literatures. Invited talk at University of Rhode Island.
Cross-document Coreference Resolution. Invited talk at the Graduate Center of the City University of New York.
2009
Natural Language Processing to Extract Domain-Specific Ontology. Invited talk at University of Rhode Island.
Cross-document Cross-lingual Information Extraction and Fusion. Invited talk at CUNY Graduate Center computer science colloquium.
State-of-the-art Information Extraction. Invited talk at the Graduate Center of the City University of New York.
Cross-document Cross-lingual Information Extraction, Ranking and Tracking. Invited talk at IBM T.J. Watson Research Center.
2008
Joint Inference and Its Application in NLP. Invited talk at Yahoo! NLP Research Group. San Jose, CA.
Cross-document Information Aggregation and Correction. Invited talk at IBM Almaden Research Center. San Jose, CA.
Joint Inference for Information Extraction and Retrieval. Invited talk at City University of New York. New York, NY.
NYU Multi-lingual Information Extraction System. Invited talk at Janya Corp. Buffalo, NY.
Adapting Information Extraction for Biomedical Domain. Invited talk at University of Pittsburgh. Pittsburgh, PA.
Cross-lingual Information Processing: Challenges and Techniques. Invited talk at Kent State University. Kent, OH.
2007
Adapting Information Extraction Techniques for Biomedical Solutions. Invited talk at Siemens Medical Solutions. Philidelphia, PA.
Re-Ranking Technique and Its Impact on IE. Yahoo! Applied Research. San Jose, CA.
Information Extraction and Translation for Noisy Data. Invited talk at SRI International. Menlo Park, CA.
Using Joint Inference to Improve Cross-Lingual Information Extraction. Invited talk at ICSI, University of California at Berkeley. Berkeley, CA.
2006
Re-Ranking Algorithms for Name Tagging. Invited talk at New York City NLP Forum. New York, NY.
Tutorial on Machine Learning Methods for Information Extraction. Invited talk at New York City NLP Forum and NYU Computer Science Colloquium. New York, NY.
2005
Machine Learning Methods for Entity and Relation Extractions. Invited talk at FactSet Research Systems, Inc. New York, NY. November 2005.
