Hi! You have reached my (intermittently updated) personal webpage. I am a Senior Research Engineer at Synthesia. I work on topics in Speech and Natural Language. Before this, I was a Machine Learning Engineer at Roku, and an Applied Scientist at Amazon. I completed PhD 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. I also spent four months as PhD research intern at Naver Labs Europe (erstwhile Xerox Research Center Europe).

As "not so underpaid" researcher...

.pdf .bib code Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai: Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. ACL (1) 2023: to appear

.pdf .bib Carolina Cuesta-Lazaro, Animesh Prasad, Trevor Wood: What does the sea say to the shore? A BERT based DST style approach for speaker to dialogue attribution in novels. ACL (1) 2022: 5820-5829

.pdf .bib Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova: Distribution augmentation for low-resource expressive text-to-speech. ICASSP 2022: 8307-8311


As "underpaid" graduate student...

.pdf .bib code Akshay Bhola, Kishaloy Halder, Animesh Prasad, Min-Yen Kan: Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework. COLING 2020: 5832-5842

.pdf .bib Animesh Prasad, Hervé Déjean, Jean-Luc Meunier: Versatile Layout Understanding via Conjugate Graph. ICDAR 2019: 287-294

.pdf .bib code Animesh Prasad, Min-Yen Kan: Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction. NAACL-HLT (1) 2019: 1837-1846

.pdf .bib code Animesh Prasad, Chenglei Si, Min-Yen Kan: Dataset Mention Extraction and Classification. ESSP@NAACL-HLT 2019: 31-36

.pdf .bib code Animesh Prasad, Saumya Ahuja, Shenhao Jiang, Bimlesh Wadhwa, Min-Yen Kan: ChairVisE: An analytic lens for conference submission data. JCDL 2019: 428-429

.pdf .bib code Xuan Su, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama: Neural Multi-Task Learning for Citation Function and Provenance. JCDL 2019: 394-395

.pdf .bib code Shenhao Jiang, Animesh Prasad, Min-Yen Kan, Kazunari Sugiyama: Identifying Emergent Research Trends by Key Authors and Phrases. COLING 2018: 259-269

.pdf .bib code Animesh Prasad, Manpreet Kaur, Min-Yen Kan: Neural ParsCit: A Deep Learning Based Reference String Parser. Int. J. on Digital Libraries 19(4): 323-337 (2018)

.pdf .bib code Animesh Prasad: WING-NUS at CL-SciSumm 2017: Learning from Syntactic and Semantic Similarity for Citation Contextualization. BIRNDL@SIGIR (2) 2017: 26-32

.pdf .bib code 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

.pdf .bib Animesh Prasad, Khe Chai Sim: Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition. INTERSPEECH 2016: 3823-3827


From another life...

link .bib Shailendra Shukla, Rajiv Misra, Animesh Prasad: Efficient disjoint boundary detection algorithm for surveillance capable WSNs. J. Parallel Distrib. Comput. 109: 245-257 (2017)