“Mohit has been a delight to work with in Visa. He is a very passionate software developer with good insight into technologies. I have worked with him on professional projects and in Hackathons. I was impressed by the amount on knowledge of NLP he brings in spite of a relatively low experience. He is a inquisitive and hardworking developer which makes him a valuable asset for any organization. ”
About
Loves Computer Science! Former CS Major IIT Varanasi, CS Grad student at Purdue. Some of…
Activity
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IIT (BHU) Varanasi is Now on YouTube! We are delighted to introduce the official YouTube channel of IIT (BHU), Varanasi, showcasing the vibrant…
IIT (BHU) Varanasi is Now on YouTube! We are delighted to introduce the official YouTube channel of IIT (BHU), Varanasi, showcasing the vibrant…
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IIT (BHU), Varanasi proudly acknowledges the heartfelt generosity of the 1984 alumni batch for their remarkable contribution to fostering musical…
IIT (BHU), Varanasi proudly acknowledges the heartfelt generosity of the 1984 alumni batch for their remarkable contribution to fostering musical…
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Experience
Education
Licenses & Certifications
Volunteer Experience
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Coordinator
Technex, IIT Varanasi
- 3 months
Education
Co-ordinator of Open Software, the flagship event of Modex at Technex, IIT Varanasi.
Publications
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Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features
Proceedings of the Nineteenth Conference on Computational Natural Language Learning: Shared Task , pages 61–65, Beijing, China, July 26-31, 201
Discourse parsing is a challenging task and is crucial for discourse analysis. In this paper, we focus on labelling argument spans of discourse connectives and sense identification in the CoNLL-2015 shared task setting. We have used syntactic features and have also tried a few semantic features. We employ a pipeline of classifiers, where the best features and parameters were selected for each individual classifier, based on experimental evaluation.
Other authorsSee publication
Courses
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AI Meets Sustainability
CS590AMS
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Advanced Machine Learning - Causal Inference
CS590AML
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Algorithm Design and Analysis
CS580
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Artificial Intelligence
CS-3201
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Bioinformatics Algorithms
CS579
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Compilers and Programming Systems
CS502
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Computer Graphics
CS-3103
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Computer Networks
CS536
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Computer Networks
CS-3202
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Data Mining
CS573
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Data Structures
CS-2102
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Database Systems
CS-3104
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Design and Analysis of Algorithms
CS-2204
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Discrete Mathematical Structures
CS-2101
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Machine Learning for Natural Language Processing
CS590NLP
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Natural Language Processing
CS-4109
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Numerical Computation
AM-2200A
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Operating Systems
CS-3106
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Parallel Computing
CS-4201
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Shallow Discourse Parsing
CS590
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Software Engineering
CS-3203
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Statistical Machine Learning
CS578
Projects
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Automatic Detection of Causal Relation In Textual Sentences
- Present
-Detecting causal relations automatically in English texts is the target of this project.
-Penn treebank was the raw corpus used. Each sentences were parsed using Stanford Parser.
-Additional links were added to the parsed output and saved as graph.
-Frequent subgraph mining(gspan) algorithm used to obtain frequent subgraphs from the graph database.
-Hadoop streaming API was used along with python as a pre-processing step to sequential cover algorithm.
Exposure: Python libraries…-Detecting causal relations automatically in English texts is the target of this project.
-Penn treebank was the raw corpus used. Each sentences were parsed using Stanford Parser.
-Additional links were added to the parsed output and saved as graph.
-Frequent subgraph mining(gspan) algorithm used to obtain frequent subgraphs from the graph database.
-Hadoop streaming API was used along with python as a pre-processing step to sequential cover algorithm.
Exposure: Python libraries such as lxml, nltk, networkx and graph-tool, Hadoop, MapReduceOther creators -
Captcha Detector.
Used MATLAB to produce an algorithm for captcha detection. This dealt with using hu’s 7 moments to identify the characters given in the image. It was made as part of MOSAIC (an image processing competition) in Aayam 2012 (organized by Dept of Electronics Engg, IIT-BHU). Among the top 10 finalists of the competition.
Other creators -
Shallow Discourse Parsing
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Took part in the CONLL 2015 Shared Task. Our short paper got accepted in the final conference held at Beijing, China and was presented in the form of a poster. The final paper can be seen here https://aclweb.org/anthology/K/K15/K15-2009.pdf
Other creatorsSee project -
Recognition of alphabets and digits constructed digitally by hand movement tracing
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-Processing of video so as to recognize the movement of blue object with image acquisition tool in MATLAB.
-A white curve gets sketched on a black background tracing the path of blue object. User traces a number of characters and finally a word is obtained in the end.
-SVM classifier is trained with a large set of images of digits and alphabets.
-The trained SVM is used to predict character from the input images.
Exposure: Image Processing, MATLABOther creators -
Profiling and Management of Linux Clusters
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Setup and installed a running Hadoop on Mesos cluster on 9 nodes. Developed a MapReduce program for calculating the Degree Centrality of Graph.
Honors & Awards
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Charpak Scholarship of Excellence
French Embassy
Awarded by the French Embassy to pursue a summer research internship at LSCP Lab located at ENS Paris, France.
Test Scores
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GRE General Test
Score: 329
GRE Quantitative Reasoning- 170/170
GRE Verbal Reasoning - 159/170
Analytical Writing (AWA) - 4.5/6 -
CGPA, IIT Varanasi
Score: 9.05/10
Department of Computer Science and Engineering, IIT Varanasi
Languages
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Punjabi
Native or bilingual proficiency
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English
Native or bilingual proficiency
Organizations
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Purdue Graduate Student Board
Co-Chair, Department of Computer Science
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Recommendations received
1 person has recommended Mohit
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