Research Interests

Natural Language Processing (Text Generation, Representation Learning), Machine Learning, Deep Learning

Publications

• Nabiha Asghar, Ivan Kobyzev, Jesse Hoey, Pascal Poupart, Muhammad Bilal Sheikh. Generating Emotionally Aligned Responses in Neural Dialogue Systems using Affect Control Theory. arXiv preprint arXiv:2003.03645, March 2020. Also presented at ICLR Workshop on Neural Conversational AI Research (NeuCAIR), May 2021. [Poster]
• Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang. Progressive Memory Banks for Incremental Domain Adaptation. Proceedings of the International Conference on Learning Representations (ICLR), April 2020. Also presented at the ICML Workshop on Adaptive and Multitask Learning, June 2019. [Slides]
• Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou. Affective Neural Response Generation. Proceedings of the 40th European Conference on Information Retrieval (ECIR), Grenoble, France, March 2018. [ArXiv][Slides]
• Nabiha Asghar, Pascal Poupart, Xin Jiang, Hang Li. Deep Active Learning for Dialogue Generation. Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM), Vancouver, August 2017. [Poster][ArXiv][Slides]

• Nabiha Asghar. Automatic Extraction of Causal Relations from Natural Language Texts: A Comprehensive Survey. arXiv preprint arXiv:1605.07895, May 2016.

• Nabiha Asghar. Yelp Dataset Challenge: Review Rating Prediction. arXiv preprint arXiv:1605.05362, May 2016.
• Nabiha Asghar, Jesse Hoey. Intelligent Affect: Rational Decision Making for Socially Aligned Agents. Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI), Amsterdam, July 2015. [Poster]

Technical Reports

• Nabiha Asghar, Jesse Hoey. Monte-Carlo Planning for Socially Aligned Agents using Bayesian Affect Control Theory. University of Waterloo School of Computer Science, Technical Report # CS-2014-21, December 2014.

Thesis

• Nabiha Asghar. Emotion-Aware and Human-Like Autonomous Agents. Ph.D. Thesis, University of Waterloo, Department of Computer Science, December 2019.
• Nabiha Asghar. Grotzsch's Theorem. Masters Essay, University of Waterloo, Department of Combinatorics & Optimization, December 2012.

Other Manuscripts

• Nabiha Asghar, Amira Ghenai. Automatic Discovery of Functional Dependencies and Conditional Functional Dependencies: A Comparative Study. University of Waterloo, April 2015.

• Nabiha Asghar. Quantum Algorithms for Matchings and Vertex-Colorings in Graphs. University of Waterloo, December 2012.

• Nabiha Asghar, Yin Zhang. Analysis of Authenticated Key Exchange under Bad Randomness. University of Waterloo, August 2012.

• Nabiha Asghar. Analysis of an O(n^0.5)- Approximation Algorithm for the Maximum Edge-Disjoint Paths Problem with Congestion Two. University of Waterloo, April 2012.

• Nabiha Asghar. Edge-Coloring Cliques with Three Colors on All 4-Cliques. University of Waterloo, December 2011.

• Nabiha Asghar. A Survey on Blind Digital Signatures. University of Waterloo, November 2011.

• Nabiha Asghar, Rija Sana. Sentiment Analysis of Customer Reviews based on Integration of Structured and Unstructured Texts. Lahore University of Management Sciences, April 2011.