Hi! You have reached my personal webpage. I am an Applied Scientist at Amazon Text to Speech Research Team at Cambridge, UK. Prior to this, I was a PhD candidate at School of Computing, National University of Singapore, where I was associated with the Web Information Retrieval / Natural Language Processing Group (WING) and was advised by associate professor Dr. Min-Yen Kan. For little under an year, I also had an appointment at Institute for Application of Learning Sciences and Educational Technologies as a Research Assistant.

Prior to joining NUS, I graduated with a B.Tech. in Computer Science and Engineering from Indian Institute of Technology, Patna. I also worked for an year at Cisco Systems as Software Development Engineer and did internship at Mentor Graphics. I also spent four months as PhD research intern at Naver Labs Europe (erstwhile Xerox Research Center Europe).



Animesh Prasad, Hervé Déjean, Jean-Luc Meunier:
Versatile Layout Understanding via Conjugate Graph.
ICDAR 2019
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Animesh Prasad, Min-Yen Kan:
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction.
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Animesh Prasad, Chenglei Si, Min-Yen Kan:
Dataset Mention Extraction and Classification.
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Animesh Prasad, Saumya Ahuja, Shenhao Jiang, Bimlesh Wadhwa, Min-Yen Kan:
ChairVisE: An analytic lens for conference submission data.
JCDL 2019
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Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Neural Multi-Task Learning for Citation Function and Provenance.
JCDL 2019
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Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama:
Identifying Emergent Research Trends by Key Authors and Phrases.
COLING 2018: 259-269
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Animesh Prasad, Manpreet Kaur, Min-Yen Kan:
Neural ParsCit: A Deep Learning Based Reference String Parser.
Int. J. on Digital Libraries (2018)
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Animesh Prasad:
WING-NUS at CL-SciSumm 2017: Learning from Syntactic and Semantic Similarity for Citation Contextualization.
BIRNDL@SIGIR (2) 2017: 26-32
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Animesh Prasad, Min-Yen Kan:
WING-NUS at SemEval-2017 Task 10: Keyphrase Identification and Classification as Joint Sequence Labeling.
SemEval@ACL 2017: 973-977
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Animesh Prasad, Khe Chai Sim:
Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition.
INTERSPEECH 2016: 3823-3827
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From another life...
Shailendra Shukla, Rajiv Misra, Animesh Prasad:
Efficient disjoint boundary detection algorithm for surveillance capable WSNs.
J. Parallel Distrib. Comput. 109: 245-257 (2017)
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Computational Linguistics,
AS6 04-13, 13 Computing Drive,
National University of Singapore,
Singapore, 117417


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© Animesh Prasad
Last Updated on 18 April, 2018