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 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.

For the rest of the year 2023 we meet in person every week in Luddy Hall 0002, every Thursday 5:30-7 PM. (See Teams and email announcements for more details.)

Please contact Damir Cavar if you are interested in joining the NLP-Lab meetings. The meetings are in person, and only exceptionally Teams-based online participants can join.

Research Foci

During the 2023/2024 academic year the focus is on:

Quantum NLP
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.

Team

Dr. Damir Cavar	Andrew Davis
Aravind Dendukuri	Shreeja Deshpanbe
Billy Dickson	Vance Holthenrichs
Soyoung Kim	Gordon Elliot Lichtstein
Ludovic Mompelat	Harshwardhan Raghunath Patil
Shane Alan Sparks	Dr. Zoran Tiganj
Khai Anthony Willard	Calvin Josenhans
Yuchen Yang	John MacIntosh Phillips
Luis Abrego

Former Team Members

Aarnav	Dr. Ali Abdulaziz Aljubailan
Oren Baldinger	Abhishek Babuji
Rohit Bapat	Aarushi Bisht
Rushabh Dharia	Josephine Douglas
Boli Fang	Matthew Fort
Maanvitha Gongalla	Peace Han
Murali Kishore Varma Kammili	Anurag Kumar
Shujun Liu	Dr. Anthony Meyer
Umang Mehta	Shreejith Panicker
Chaitanya Patil	Dr. Falcon Dario Restrepo Ramos
Animesh Sagar	Gopal Seshadri
Jagpreet Singh Chawla	Surya Prateek Soni
Ashutosh Tiwari	Dr. Yuna Won
Kimball Wu	Yiwen Zhang

Here is our Event Calendar with all meeting times.