1. C Carlos, G Rakshit "Learning Non-Linear Functions for Text Classification". In procs. of the Thirteenth International Conference on Natural Language Processing (ICON-2016), Varanasi, India. Dec 2016. [Presentation]
2. C Carlos "Perplexed Bayes Classifier". In procs. of the Twelfth International Conference on Natural Language Processing (ICON-2015), Thiruvananthapuram, India. Dec 2015. [The mathematics companion].
3. C Carlos, M Yalamanchi "Intention Analysis for Sales, Marketing and Customer Service" a demonstration at the 24th Int'l Conference in Computational Linguistics COLING, Mumbai, India, Dec 2012.
4. C Carlos "Natural Language Programming Using Class Sequential Rules". In procs. of the 5th Int'l Joint Conference on Natural Language Processing IJCNLP, Chiang Mai, Thailand, pp. 785–793, Nov 2011 [Slides].
5. Corpus: "A corpus for Natural Language Programming", released alongside the work above.

Personal Publications: Cohan

1. C Carlos, M Choudhury, S Dandapat "Large-Coverage Root Lexicon Extraction for Hindi" as a poster at EACL 2009.

Personal Publications: Sumukh (on Information Retrieval)

1. S Ghodke, S Bird "Fangorn: A system for querying very large treebanks". In procs. of the 24th Int'l Conference in Computational Linguistics COLING, Mumbai, India, Dec 2012.
2. S Ghodke, S Bird, R Zhang "A Breadth-First Representation for Tree Matching in Large Scale Forest-Based Translation". In procs. of the 5th Int'l Joint Conference on Natural Language Processing IJCNLP, Chiang Mai, Thailand, pp. 785–793, Nov 2011.
3. S Ghodke, S Bird "Fast Queries for Large Treebanks". In procs. of Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Assoc. for Computational Linguistics NAACL-HLT, USA, pp. 267–275, Jul 2010.

1. 360 degree text analytics - converting unstructured information into structured information.
2. 360 degree text analytics - slides from a lecture on converting unstructured information into structured information.
3. Sales and marketing related use cases of intention analysis.
4. Reducing call center costs using intention analysis.