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 in particular interested in Quantum NLP and NLP combined with Machine Learning (ML) solutions for computer vision and multi-modal information processing.
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 2024 semester, we meet in person every week in Ballantine Hall BCBH 012, every Monday from 6:00 to 7:30 PM. (See Teams and email announcements for more details.)
The Quantum NLP Study Group meetings are in Luddy Hall BLIF 0002 every Friday from 4:00 to 5:30 PM.
Please contact Damir Cavar if you are interested in joining the NLP-Lab meetings.
- We launched the environment for Natural Language Qu Kit (NLQK), a Quantum NLP (QNLP) library - GitHub repo, PyPi project, website
- Damir Cavar and Billy Dickson teach a course on Large Language Models and Knowledge Graphs at ESSLLI 2024, see also the related research activity during Fall 2024 Knowledge Graph Extraction
- The NLP-Lab is happy to cosponsor the 2024 Datathon and Machine Learning Competition (pdf). Registration (https://go.iu.edu/8pGB) is open till June 20th, 2024.
- Our Center for Quantum Technologies (CQT) grant for Quantum NLP kick-off is officially this week, from 15th of May 2024 on! Join us to celebrate this at the NLP-Lab meeting on Wednesday 05/15/2024.
- NLP-Lab poster (2024) on Quantum Natural Language Processing and Machine Learning for VCs at the AI center, May 16th, 2024 at Indiana University Bloomington.
- NLP-Lab poster (2024) Quantum Natural Language Processing and Machine Learning. Luddy-Crane Summit on March 29, 2024 at Indiana University Bloomington.
- NLP-Lab poster (2024) Generative AI and Knowledge Representations. Luddy-Crane Summit on March 29, 2024 at Indiana University Bloomington.
- Damir Cavar, Billy Dickson (2024) Generative AI and Symbolic Knowledge Representations: Large Language Models, Knowledge, and Reasoning, (July/August 2024) course to be taught at the 35th European Summer School in Logic, Language and Information ESSLLI 2024 in Leuven, Belgium.
During the 2024 academic year, the focus is on:
- Quantum NLP
- Ontology Learning
- Ellipsis and Empty Element Parsing
- Discontinuity and Non-local Dependency Processing in Natural Language Discourse
- Time and Event Annotation and NLP Technologies (TIE-ML)
- Knowledge Graph 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.
In all these projects, we work on hands-on implementation of technologies, utilizing programming languages like Python and Rust, and graph or RDF libraries, as well as common graph-database systems like Apache Jena, Fluree, oxigraph, AllegroGraph, GraphDB, or Neo4j.
See for example:
If you are interested in joining our Rust tutorials with a focus on using Rust for NLP and AI or in Robotics environments (with the [Robot Operating System] (ROS)), please get in touch!
Previous projects foci:
- 2023 Datathon and Hackathon on Antisemitic and hate speech, using NLP and Machine Learning to process social media posts.
- Language Resources for Turkic Languages - Focusing on Azerbaijani
- Processing of the Mueller Report: corpus analysis, prediction models, Knowledge Graph and Event Graph extraction, time reference and sequencing along the time axis (GitHub repo). The cleaned-out text corpus with basic annotations is finally available. More data is coming soon.
- Antisemitism in Social Media
- I was organizing special meetings to refresh our knowledge of Lisp and Prolog for logic computation and reasoning, in particular, related to computational semantics and pragmatics, and probabilistic logic, integrating Semantic Web and Knowledge Graph technologies. See here... but the pandemic interfered with that. We should talk about a continuation. Please get in touch, if you are interested in Lisp / Scheme / Prolog.
| ------- | ------- | | Muhammad S. Abdo | Luis Abrego | | Nada Aggadi | Jose P. Benavides | | Dr. Damir Cavar | Andrew Davis | | Ian Devine | Billy Dickson | | Vance Holthenrichs | Calvin Josenhans | | Soyoung Kim | Akriti Kumari | | Khaled Mohammed | Koushik Reddy Parukola | | Emily Reed | Shane A. Sparks | | Dhananjay Srivastava | Dr. Zoran Tiganj | | Khai Anthony Willard | Chi Zhang | | Rong Zheng | |
| ------- | ------- | | Aarnav | Dr. Ali Abdulaziz Aljubailan | | Abhishek Babuji | Oren Baldinger | | Tanmayi Balla | Rohit Bapat | | Aarushi Bisht | Jagpreet Singh Chawla | | Aravind Dendukuri | Shreeja Deshpanbe | | Rushabh Dharia | Josephine Douglas | | Boli Fang | Matthew Fort | | Maanvitha Gongalla | Peace Han | | Murali Kishore Varma Kammili | Anurag Kumar | | Gordon Elliot Lichtstein | Shujun Liu | | MacIntosh Phillips, John | Anshul Kumar Mangalapalli | | Umang Mehta | Dr. Anthony Meyer | | Dr. Ludovic Mompelat | Shreejith Panicker | | Chaitanya Patil | Harshwardhan Raghunath Patil | | Restrepo Ramos, Dr. Falcon Dario | Animesh Sagar | | Gopal Seshadri | Surya Prateek Soni | | Ashutosh Tiwari | Dr. Yuna Won | | Kimball Wu | Yuchen Yang | | Yiwen Zhang | |
Here is our Event Calendar with all meeting times.