1 code implementation • ICML 2017 • Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin
Determinantal point processes (DPPs) are popular probabilistic models that arise in many machine learning tasks, where distributions of diverse sets are characterized by matrix determinants.
no code implementations • 7 May 2018 • Nikos Voskarides, Edgar Meij, Ridho Reinanda, Abhinav Khaitan, Miles Osborne, Giorgio Stefanoni, Prabhanjan Kambadur, Maarten de Rijke
KG fact contextualization is the task of augmenting a given KG fact with additional and useful KG facts.
no code implementations • 5 Jun 2016 • Fatemeh Navidi, Prabhanjan Kambadur, Viswanath Nagarajan
We obtain a logarithmic factor approximation algorithm for this adaptive ranking problem, which is the best possible (unless P=NP).
no code implementations • 12 Nov 2013 • Christos Boutsidis, Alex Gittens, Prabhanjan Kambadur
Spectral clustering is one of the most important algorithms in data mining and machine intelligence; however, its computational complexity limits its application to truly large scale data analysis.
no code implementations • ACL 2019 • Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur, Yi Yang
Named entity recognition (NER) is the backbone of many NLP solutions.
no code implementations • 30 Mar 2023 • Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, Gideon Mann
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering.