Dr Parma Nand

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Senior Lecturer & Head of Teaching and Learning

Phone: +64 921 9999 extn 5679

Email: parma.nand@aut.ac.nz

Physical Address:

AUT Tower, Level 1,
2 – 14 Wakefield St,
Auckland 1010

Web: http://staff.elena.aut.ac.nz/Parma-Nand/

Google Scholar: https://scholar.google.com/citations?user=e4a55MEAAAAJ 



Postal Address:
SCMS (D-75)
Auckland University of Technology
Private Bag 92006,
Auckland 1142 NZ

Qualifications:

PhD (Artificial Intelligence-NLP) - Auckland University of Technology (New Zealand)

Memberships and Affiliations:

  • Member - Australian Computer Society
  • Member - South Pacific Computer Society
  • Member - IEEE

Biography:

My main research area is Artificial Intelligence, particularly in the Natural Language Engineering. My current interest and research projects are based around computational manipulation of texts for Artificial Intelligence based systems. These include automated extraction of information from free texts as well as generation of natural texts. Within this domain I have worked with ontologies, question answering systems, Linked data, relation/event/entity extraction, chatbots inter alia. I also have interests in using the knowledge embedded in texts to build prediction systems using machine learning.

Other areas of interest in terms of teaching and research are concurrent programming, multi-processor/multi-core programming and computational optimisation.

Prior to my academic career I have worked as a software engineer for various companies in New Zealand. My main areas of expertise lie in designing software in the retail oil and electronic funds transfer industry. I have extensive experience in writing optimised applications using assembly and C languages for limited-memory embedded operating systems. I have also worked on client-server architecture systems in the electronic funds transfer industry.

Teaching Areas:

  • Natural Language Processing
  • Natural Language Engineering
  • Machine Learning
  • Text Mining
  • Data Mining

Research Areas:

  • Natural Language Processing
  • Computational Linguistics
  • Machine Learning
  • Data Mining

Current Research Projects:

  • Information Extraction from Social Media Texts
  • Opinion mining from Social Media Texts
  • Natural Language Generation
  • Development of NLP based Tutor and Assessment Systems
  • Text Mining for Various purposes such as Harassment Detection

Publications:

Books

  • Nand, P. (2012). Resolving Co-reference Anaphora Using Semantic Constraints. Lambert Academic Publishing. Retrieved from https://www.lap-publishing.com

Journal Papers

Zheng, K., Yan, W. -Q., & Nand, P. (2017). Video dynamics detection using deep neural network. IEEE Transactions on Emerging Topics in Computational Intelligence, PP(99), 1-11. doi:10.1109/TETCI.2017.2778716

Perera, R., & Nand, P. (2017). Recent advances in natural language generation: A survey and classification of the empirical literature. Computing and Informatics, 36(1), 1-32. Retrieved from http://www.cai.sk/ojs/index.php/cai/article/viewArticle/2017_1_1

Perera, R., Nand, P., & Klette, G. (2016). RealText-lex: A lexicalization framework for RDF triples. The Prague Bulletin of Mathematical Linguistics, 106(1), 46-68. doi:10.1515/pralin-2016-0011

Perera, R., & Nand, P. (2014). Interaction History Based Answer Formulation for Question Answering. Communications in Computer and Information Science, 468, 128-139. doi:10.1007/978-3-319-11716-4_11

Nand, P., & Yeap, W. (2012). A framework for interpreting bridging anaphora. Communications in Computer and Information Science, 358, 131-144. doi:10.1007/978-3-642-36907-0

Perera, R., Nand, P., Bacic, B., Yang, W. -H., Seki, K., & Burget, R. (n.d.). Semantic Web Today: From Oil Rigs to Panama Papers. Retrieved from http://arxiv.org/abs/1711.01518v1

Recent Refereed Conference Publications

Perera, R., Nand, P., Yang, W. H., & Toshioka, K. (2017). Lexicalizing linked data for a human friendly web. In Proceedings of the 7th International Conference Confluence 2017 on Cloud Computing, Data Science and Engineering (pp. 30-35). doi:10.1109/CONFLUENCE.2017.7943119

Nand, P., & Perera, R. (2016). MineYourText: Bridging the Gap between Natural Language and Linked Data. In Linked Startup Workshop collocated with 15th International Semantic Web Conference (ISWC). Kobe, Japan.

Perera, R., & Nand, P. (2016). Lexicalizing linked data towards a human friendly web of data. In Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016 (pp. 873-878). Institute of Electrical and Electronics Engineers Inc.. doi:10.1109/ICTAI.2016.0135

Perera, R., Nand, P., & Klette, G. (2016). Lexicalizing DBpedia with realization enabled ensemble architecture: RealTextlex2 approach - System Demonstration. In International Semantic Web Conference Vol. 1690.

Perera, R., & Nand, P. (2016). Generating Answer Sentences in Question Answering Systems. In 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). Retrieved from https://www.computer.org/csdl/proceedings/ictai/2016/4459/00/4459a812.pdf

Perera, R., Nand, P., & Klette, G. (2016). Enriching answers in question answering systems using linked data - System Demonstration. In International Semantic Web Conference Vol. 1690.

Perera, R., & Nand, P. (2016). Answer Presentation in Question Answering over Linked Data using Typed Dependency Subtree Patterns. In Open Knowledge Base and Question Answering Workshop collocated with 26th International Conference on Computational Linguistics (COLING) (pp. 44-48). Association for Computational Linguistics. Retrieved from http://aclweb.org/anthology/W/W16/W16-4406.pdf

Nand, P., Perera, R., & Kasture, A. (2016). "How Bullying is this Message?": A Psychometric Thermometer for Bullying. In 26th International Conference on Computational Linguistics (COLING) (pp. 695-706). Osaka, Japan. Retrieved from https://www.aclweb.org/anthology/C/C16/C16-1067.pdf

Perera, R., & Nand, P. (2015). Selecting contextual peripheral information for answer presentation: The need for pragmatic models. In 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 (pp. 197-205).

Perera, R., Nand, P., & Klette, G. (2015). RealTextlex: A lexicalization framework for linked open data. In International Semantic Web Conference  - Demonstration Track Vol. 1486.

Perera, R., & Nand, P. (2015). RealTextasg: A model to present answers utilizing the linguistic structure of source question. In 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 (pp. 206-214). Shanghai Jiao Tong University.

Perera, R., & Nand, P. (2015). Answer presentation with contextual information: A case study using syntactic and semantic models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9457 (pp. 476-483). doi:10.1007/978-3-319-26350-2_42

Nand, P., & Perera, R. (2015). An Evaluation of POS tagging for Tweets Using HMM Modeling. In Proceedings of the 38th Australasian Computer Science Conference..

Nand, P., Perera, R., & Klette, G. (2015). A tweet classification model based on dynamic and static component topic vectors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9457 (pp. 424-430). Springer Verlag. doi:10.1007/978-3-319-26350-2_37

Perera, R., & Nand, P. (2014). Real Text-CS - Corpus Based Domain Independent Content Selection Model. In IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 599-606). doi:10.1109/ICTAI.2014.95

Nand, P., Perera, R., Sreekumar, A., & Lingmin, H. (2014). A Multi-Strategy Approach for Location Mining in Tweets: AUT NLP Group Entry for ALTA-2014 Shared Task. In Proceedings of the Australasian Language Technology Association Workshop 2014 (pp. 163-170). Retrieved from http://www.aclweb.org/anthology/U14-1024

Perera, R., & Nand, P. (2014). The role of linked data in content selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8862 (pp. 573-586). Springer Verlag. doi:10.1007/978-3-319-13560-1

Perera, R., & Nand, P. (2014). The Role of Linked Data in Content Selection. In D. -N. Pham, & S. -B. Park (Eds.), 13th Pacific Rim International Conference on Artificial Intelligence Vol. 8862 (pp. 573-586). Gold Coast, Australia: Springer International Publishing. doi:10.1007/978-3-319-13560-1_46

Perera, R., & Nand, P. (2014). RealText-cs - Corpus based domain independent Content Selection model. In 26th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). Limassol, Cyprus: IEEE. doi:10.1109/ICTAI.2014.95

Perera, R., & Nand, P. (2014). Interaction History Based Answer Formulation for Question Answering. In International Conference on Knowledge Engineering and Semantic Web (KESW). Kazan, Russia: Springer. doi:10.1007/978-3-319-11716-4_11

Nand, P., Perera, R., & Lal, R. (2014). A HMM POS tagger for micro-blogging type texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8862 (pp. 157-169). Springer Verlag. doi:10.1007/978-3-319-13560-1

Nand, P., & Yeap, W. (2012). Using relations to interpret anaphora. In J. Filipe, & A. Fred (Eds.), The Proceedings of the 4th International Conference on Agents and Artificial Intelligence Vol. 1 (pp. 92-99). Vilamoura, Algarve, Portugal: SciTePress-Science and Technology Publications. Retrieved from http://www.icaart.org/

Nand, P., & Yeap, W. (2011). A Relational Framework for Interpreting Anaphora. In C. Hota, V. Shanthi, & S. Sanjeevi (Eds.), 2nd Annual International Conference on Advanced Topics in Artificial Intelligence (pp. 44-49). Singapore: Global science and Technology Forum (GSTF). Retrieved from http://www.globalstf.org/

Nand, P., & Yeap, W. (2010). Towards a Discourse Level Coherence Structure. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence (pp. 11-19). Valencia, Spain: Institute for Systems and Technologies of Information, Control and Comuunication (INSTICC). Retrieved from http://www.icaart.org/

Nand, P., & Yeap, W. (2010). Generation of Anaphoric Noun Phrases and their Coreferential Properties.. In Annual International Conference on Advanced Topics in Artificial Intelligence ATAI 2010 (pp. A75-A80). Phuket, Thailand: Global science and Technology Forum (GSTF). Retrieved from http://www.globalstf.org/

Nand, P. (2008). On the use of Salience Weights in Anaphora Resolution. In J. H. A. Nicholas, & D. Brignoli (Eds.), Proceedings New Zealand Computer Science Research Student Conference, NZCSRSC 2008 (pp. 123-128). Canterbury NZ. Retrieved from http://nzcsrsc08.canterbury.ac.nz/site/

Nand, P. (2007). Challenges in Anaphora Resolution in the News Media Genre. In A. Yeo, J. Labadin, W. Chai, & T. Eng (Eds.), Proceedings of CITA'07 (pp. 156-160). Sarawak, Malaysia.