4 citations · 7 across the 13 of their papers we have counts for
5 papers · 1 filter
GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation
Ashirbad Mishra, Soumik Dey, Marshall Wu +5
Online sellers and advertisers are recommended keyphrases for their listed products, which they bid on to enhance their sales. One popular paradigm that generates such recommendati…
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
Ranran Haoran Zhang, Bensu Uçar, Soumik Dey +3
Open-vocabulary Extreme Multi-label Classification (OXMC) extends traditional XMC by allowing prediction beyond an extremely large, predefined label set (typically to $10^{1…
GPT-3 Powered Information Extraction for Building Robust Knowledge Bases
Ritabrata Roy Choudhury, Soumik Dey
This work uses the state-of-the-art language model GPT-3 to offer a novel method of information extraction for knowledge base development. The suggested method attempts to solve th…
Graphite: A Graph-based Extreme Multi-Label Short Text Classifier for Keyphrase Recommendation
Ashirbad Mishra, Soumik Dey, Jinyu Zhao +3
Keyphrase Recommendation has been a pivotal problem in advertising and e-commerce where advertisers/sellers are recommended keyphrases (search queries) to bid on to increase their…
Analysis of Multidomain Abstractive Summarization Using Salience Allocation
Tohida Rehman, Raghubir Bose, Soumik Dey +1
This paper explores the realm of abstractive text summarization through the lens of the SEASON (Salience Allocation as Guidance for Abstractive SummarizatiON) technique, a model de…