NLP Lab
The Natural Language Processing Lab
Welcome to The NLP Lab Pages
The Natural Language Processing Lab (NLP-Lab) is focused on theoretical work and implementations of Natural Language Processing (NLP) and Artificial Intelligence (AI) solutions using hybrid approaches, empiricist, neural, probabilistic, and knowledge-driven, with a particular interest in neuro-symbolic modeling. We are also interested in Quantum NLP and AI and NLP combined with Machine Learning (ML) solutions for computer vision and multi-modal information processing. Ultimately, we believe we are getting closer to what Steve Jobs had as a vision in 1985.
The NLP-Lab is located at Indiana University at Bloomington. While it is mainly a local group of students and researchers with a strong interest in NLP and AI here in Indiana, it has ties to colleagues all across the country.
During the Fall of 2025, we meet in person every week in Luddy Hall (BLIF) 0002, every Wednesday from 5:30 to 7:00 PM. (See Teams and email announcements for more details.)
The Quantum AI and NLP Study Group meetings are in Luddy Hall (BLIF) 0002 every Thursday from 5:30 to 7:00 PM.
Please contact Damir Cavar if you are interested in joining the NLP-Lab meetings.
Schedule
The topics to discuss, papers to read, or presentations to listen to during the Fall of 2025 meetings:
| Date | Topic |
|---|---|
| 08/13/2025 | Regular meeting: Drugs and LLMs/KG |
| 08/20/2025 | Regular meeting: Drugs and LLMs/KG |
| 08/27/2025 | Regular meeting: Demo using LLMs, Agentive AI, for the Drugs project |
| … |
Previous Meeting Schedules
News
- Quantum Artificial Intelligence and Natural Language Processing Conference 2025 at Indiana University in August 2025.
- QED-C Discussion on the Future of Quantum and AI (March 12th, 2025) (LinkedIn post) with Cierra Choucair, Alain Chancé, Damir Cavar, Bob Coecke, Taha Selim
- Midwest Speech and Language Days 2025 announced.
- Cavar, D., Koushik Reddy Parukola, Shane Sparks (2025) Old Wine in New Bottles: Using Classical Word Embeddings in Quantum NLP Systems. Paper to be presented at the Midwest Speech and Language Days 2025, University of Notre Dame, April 2025.
- A. Karkala Pai, D. Cavar (2025) A Voice-based Detection of Parkinson’s Disease: Feature Selection and Classification Results. Paper to be presented at the Midwest Speech and Language Days 2025, University of Notre Dame, April 2025.
- Wang, R., R. Shrivastava, T. Sun, S. Lakshmi Anusha Chebolu, M. Kodandapani Naidu, T. Jayaprakash, J. Decatur, D. Cavar (2025) Improving LLM Reasoning Through Ontology-driven Knowledge Graphs: A Comparative Study of Generating Ontologies for Medical RAGs. Poster to be presented at the Midwest Speech and Language Days 2025, University of Notre Dame, April 2025.
- Davis, A.S., B. Dickson, D. Cavar, D. Valdez, F.M. Tyers (2025) Advancing Adverse Drug Event Detection in Social Media Through Knowledge Graph and GraphRAG LLM Architectures. 2025 AAHB Annual Scientific Meeting, San Diego, CA. (Poster)
- Damir Cavar, Koushik Reddy Parukola (2025) Word and Text Similarity Using Classical Word Embeddings in Quantum NLP Systems. Satellite Workshop: Quantum Machine Learning in Signal Processing and Artificial Intelligence at the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing. Hyderabad, India.
- Muhammad S. Abdo, Yash Hatekar and Damir Cavar (2025) AMWAL: Named Entity Recognition for Arabic Financial News. In proceedings of the FinNLP-FNP-LLMFinLegal 2025 workshop at COLING 2025.
Research Foci
During the 2025-2026 academic year, the focus is on:
- Quantum AI and NLP
- Substance Abuse Knowledge and AI Systems: NIDA Drug Ontology, and substance abuse and slang in social media project
- Ontology Learning: Learning higher level semantic properties from raw text and images
- Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Ontologies, and Knowledge Graphs for Agentive AI: extraction and visualization from relational databases, unstructured text, and images/videos
- Entailment and Reasoning over Knowledge Graphs (and Description Logic/Semantic Web): Using Temporal Graph Neural Networks, Large Language Models, and Knowledge Graphs.
Team
Former Team Members
Here is our Event Calendar with all meeting times.