Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Topic Modeling, Natural Language Processing Techniques, Advanced Text Analysis Techniques, and Semantic Web and Ontologies.
You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Collaborative Research: EAGER: Computational Thinking Olympiad
Collaborative: SGER: New Problem Genres for the North American Computational Linguistics Olympiad
Collaborative Research: BlogoCenter - Infrastructure for Collecting, Mining and Accessing Blogs
Probabilistic and link-based Methods for Exploiting Very Large Textual Repositories
Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics; Philadelphia, PA
ITR: Information Fusion Across Multiple Text Sources: A Common Theory