Harsha Kokel

Harsha Kokel
University of Texas at Dallas | UTD · Department of Computer Science

About

7
Publications
166
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9
Citations

Publications

Publications (7)
Preprint
Full-text available
We consider the problem of human-machine collaborative problem solving as a planning task coupled with natural language communication. Our framework consists of three components -- a natural language engine that parses the language utterances to a formal representation and vice-versa, a concept learner that induces generalized concepts for plans ba...
Preprint
ion enables sample-efficient learning and better task transfer in complex reinforcement learning environments. Recently, we proposed RePReL (Kokel et al. 2021), a hierarchical framework that leverages a relational planner to provide useful state abstractions for learning. We present a brief overview of this framework and the use of a dynamic probab...
Chapter
Qualitative influence statements are often provided a priori to guide learning; we answer a challenging reverse task and automatically extract them from a learned probabilistic model. We apply our Qualitative Knowledge Extraction method toward early prediction of gestational diabetes on clinical study data. Our empirical results demonstrate that th...
Article
Full-text available
Incorporating richer human inputs including qualitative constraints such as monotonic and synergistic influences has long been adapted inside AI. Inspired by this, we consider the problem of using such influence statements in the successful gradient-boosting framework. We develop a unified framework for both classification and regression settings t...
Conference Paper
The Morpheme Extraction task (MET) was organized for the first time in FIRE 2012 and subsequently in FIRE 2013. Participating systems were required to provide morphemes of given term lists. The track was offered in five languages viz. Bengali, Gujarati, Hindi, Odia, Marathi in 2012 and a sixth language: Tamil was added in 2013. Evaluation was done...

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