Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Parth Patwa"'
Publikováno v:
AI Magazine; Vol. 42 No. 4: Winter 2021; 16-28
Stickers are popularly used while messaging to visually express nuanced thoughts. We describe a real-time sticker recommendation (SR) system. We decompose SR into two steps: predict the message that is likely to be sent, and substitute that message w
Autor:
Debapriya Tula, M. S. Shreyas, Viswanatha Reddy, Pranjal Sahu, Sumanth Doddapaneni, Prathyush Potluri, Rohan Sukumaran, Parth Patwa
Publikováno v:
SN Computer Science. 3
Autor:
Zhen Wang, Yunhao Ba, Pradyumna Chari, Oyku Deniz Bozkurt, Gianna Brown, Parth Patwa, Niranjan Vaddi, Laleh Jalilian, Achuta Kadambi
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Rohan Sukumaran, Yash Mathur, Shankar S, T V Sethuraman, Ayush Chopra, Joseph Bae, Abhishek Singh, Priya Ramaswamy, Myungsun Kang, Rishank Kanaparti, Parth Patwa, Ramesh Raskar
Publikováno v:
Journal of Behavioral Data Science. :154-169
It is crucial for policymakers to understand the community prevalence of COVID-19 so combative resources can be effectively allocated and prioritized during the COVID-19 pandemic. Traditionally, community prevalence has been assessed through diagnost
Publikováno v:
AAAI
Stickers are popularly used in messaging apps such as Hike to visually express a nuanced range of thoughts and utterances to convey exaggerated emotions. However, discovering the right sticker from a large and ever expanding pool of stickers while ch
Autor:
Arunakiry Natarajan, Kamaraj, Prakash, Thakur, Aditi, Akarsh Venkatasubramanian, Amitesh Pandey, Anshuman Sharma, Khastgir, Bikram, Addo, Dennis, Harp, Gabe, Ishaan Singh, Redmond, Jess, Wu, Joey, Khushbu Pahwa, Krishnendu Dasgupta, Dmitrienko, Mikhail, Parth Patwa, Priyanshi Katiyar, Raunika Anand, Iyer, Rohan, Sukumaran, Rohan, Saverna Ahmad, Sethuraman Tv, Shailesh Advani, Sheshank Shankar, Siddhartha Alluri, Soham Dasgupta, Harsha Gajavalli, Sumanth Doddapaneni, Sumanth Manduru, Banerjee, Sweta, Varun Murthy, Raskar, Ramesh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a81e5d639376d5b233053a4edb6e3de
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12901-12902
NLP applications for code-mixed (CM) or mix-lingual text have gained a significant momentum recently, the main reason being the prevalence of language mixing in social media communications in multi-lingual societies like India, Mexico, Europe, parts
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:12959-12960
Joint embedding (JE) is a way to encode multi-modal data into a vector space where text remains as the grounding key and other modalities like image are to be anchored with such keys. Meme is typically an image with embedded text onto it. Although, m
Autor:
Gitanjali Kumari, Asif Ekbal, Amitava Das, Srinivas Pykl, Vineeth Guptha, Tanmoy Chakraborty, Mohit Bhardwaj, Md. Shad Akhtar, Parth Patwa, Shivam Sharma
Publikováno v:
Combating Online Hostile Posts in Regional Languages during Emergency Situation ISBN: 9783030736958
CONSTRAINT@AAAI
CONSTRAINT@AAAI
Fake news, hostility, defamation are some of the biggest problems faced in social media. We present the findings of the shared tasks (https://constraint-shared-task-2021.github.io/) conducted at the CONSTRAINT Workshop at AAAI 2021. The shared tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fd037d1dbc595df45b8be369c7c2176
https://doi.org/10.1007/978-3-030-73696-5_5
https://doi.org/10.1007/978-3-030-73696-5_5