Phone: (504) 247-1543
Fax: (504) 865-5786
Office: 305B Stanley Thomas Hall
Postal: 6823 St. Charles Avenue, Tulane University, New Orleans, LA 70118
Official Website, Google Scholar, LinkedIn, C.V.
Keynote talk at INTAP 2018 Conference on Intelligent Technologies and Applications, October 23–25, 2018, Bahawalpur, Pakistan.
Keynote talk at GIScience 2018 Workshop on "Corpus in GIScience: Going Beyond Butterfly Collecting", August 28th, 2018, Melbourne, Australia. Title: TBD.
Declarative Learning based Programming for Structured Machine Learning with Unstructured Data, March 28th, 2017. Weekly Seminars in Computing and Software, McMaster University, Canada.
Saul: Towards declarative learning based programming, 2015 (Nov 9th), Rising Stars: An Academic Career Workshop for Women, MIT Department of EECS.
Saul: Towards declarative learning based programming, AAAI-2015 fall symposium, The Westin Arlington Gateway, Arlington, Virginia.2015 (Nov 12th).
Declarative Learning Based Programming for Natural Language Processing, Workshop on Replicability and reproducibility in Natural Language Processing: adaptive methods, resources and software, at IJCAI-2015, Buenos Aires, 2015 (Jul 26th).
Structured Learning for Spatial Information Extraction from Biomedical Text. International Workshop on Knowledge Discovery from (Big) Text: Challenges and Opportunities when Mining Biomedical Text, KULeven, Belgium. See the recorded talk here, 2015 (May 18th).
Structured Learning for Spatial Information Extraction from Biomedical Text. University of Illinois at Urbana-Champaign, US, Database Information Systems, (DAIS) weekly seminar, 2015 (April 10th).
Structured Learning for Mapping Natural Language to Spatial Ontologies. University of Illinois at Urbana-Champaign, US, Artificial intelligence and information systems, (AIIS) weekly seminars, 2014 (Jan).
Structured Learning for Mapping Natural Language to Spatial Calculi Models. NIPS-2013 workshop on Knowledge Extraction from Text (KET). Talk as author: See the recorded video here, 2013 (Dec).
Machine Learning for Spatial Language Interpretation. The University of Bremen, Bremen, Germany. Workshop on Machine Learning for Spatial Language Interpretation, 2010.