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)

departmental address: Department of Linguistics, Indiana University, Ballantine Hall, Room 814, 1020 E. Kirkwood Ave., Bloomington, IN 47405, USA.

Research Projects:

• 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)
• NLP Lab at IU
• 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:

GitHub, Bitbucket, Kaggle, and GORILLA

Course in Fall 2018

• LING-L 645 Advanced Natural Language Processing
  CSCI-B 659 Topics in Artificial Intelligence

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

Colloquium meetings in 2018: (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:

• LING-L 645 Advanced Natural Language Processing
  CSCI-B 659 Topics in Artificial Intelligence
• LING-L 715 Seminar in Computational Linguistics
  CSCI-B 659 Topics: Adv Natural Language Processing: "Semantic Natural Language Processing, NoAI, and Big Knowledge (including dialog and AI)"