Damir Cavar
Associate Professor (ORCID)
Indiana University (IU)
phone: +1 812 856-5094 (or via Skype, Google Hangouts, Zoom)
email: dcavar at the domain where we all are, here at IU (iu.edu)
I use Signal, Wickr Me, MeWe, Minds - not Facebook, Messenger, WhatsApp, Twitter...
departmental address: Indiana University, Department of Linguistics, Ballantine Hall, Room 873, 1020 E. Kirkwood Ave., Bloomington, IN 47405, USA.
office hours: Mondays and Wednesdays 2:30-3:30 PM or by appointment
Most recent:
- Python modules now available: Py-JSON-NLP
- NLP-lab "HooSIER Semantic Information ExtractoR" (HooSIER) System, Knowledge Graph generation using deep NLP and AI
- NLP-lab JSON-NLP Schema, specification and example code, building an NLP Middleware
Research Projects:
- NLP Lab meets during Spring 2020: Tuesdays & Thursdays 2:30-5, Fridays 3:00-5, Saturdays 11-1 (see website for more details, or on the NLP-Lab Slack channel)
- Computational Semantics and Pragmatics using NLP and Graph Models and Neural Graph Processing (Concept Mapping, Entity and Relation Extraction, Event Detection)
- Speech Processing of Prosody for Pragmatics and Dialogs, Chatbots, and AI (Intonation Countour Detection, Focus and Stress Patterns, Semantic and Pragmatic Analysis of Spoken Language)
- High Performance Natural Language Processing (HPNLP)
Adjunct/Member:
- Data Science Faculty in the School of Informatics and Computation
- Center for Applied Cybersecurity Research (CACR) Fellow at Indiana University
- Russian and East-European Institute (REEI), School of Global & International Studies, Indiana University
- Member of the Cognitive Science Program at Indiana University
- Adjunct in the Department of Slavic and East European Languages and Cultures
Code, Data, and Projects:
Course in Spring 2020
- LING-L 665 Applying Machine Learning Techniques in Computational Linguistics
CSCI-B 659 Topics in Artificial Intelligence: Deep Learning, Knowledge Graphs, Computational Semantics in AI/NLP
Course in Fall 2018
Course in Spring 2018
- LING-L 665 Applying Machine Learning Techniques in Computational Linguistics
CSCI-B 659 Topics in Artificial Intelligence: Neural Networks, Deep Learning in CL/NLP
Research Lab meetings during 2020: (contact me, if you would like to participate)
- Quantum Computing and Algorithms (Project Q), meets once weekly during the summer, see Slack group.
- Knowledge Graphs and AI, OpenIE, Information Retrieval, Reasoning, Entity Recognition, Entity Linking, meets multiple times weekly during the summer, see Slack group.
- Deep Linguistics and Deep Learning: Probabilistic Unification, Probabilistic LFG, Computational Pragmatics and Semantics
- Speech processing, prosody, and information theory; based on Deep Learning and NN, meets once weekly during the summer, see Slack group.
Courses in Fall 2017: