activity
20182023
most citedHow Large Are Lions? Inducing Distributions over Quantitative Attributes

3 citations · 4 across the 4 of their papers we have counts for

collaborators

6 papers

astro-ph.EP2023

Palomar discovery and initial characterization of naked-eye long period comet C/2022 E3 (ZTF)

B. T. Bolin, F. J. Masci, D. A. Duev +11

Long-period comets are planetesimal remnants constraining the environment and volatiles of the protoplanetary disc. We report the discovery of hyperbolic long-period comet C/2022 E…

cs.CL2023★ 1 cited

Producing Usable Taxonomies Cheaply and Rapidly at Pinterest Using Discovered Dynamic -Topics

Abhijit Mahabal, Jiyun Luo, Rui Huang +2

Creating a taxonomy of interests is expensive and human-effort intensive: not only do we need to identify nodes and interconnect them, in order to use the taxonomy, we must also co…

cs.CL2020

Improving Query Safety at Pinterest

Abhijit Mahabal, Yinrui Li, Rajat Raina +3

Query recommendations in search engines is a double edged sword, with undeniable benefits but potential of harm. Identifying unsafe queries is necessary to protect users from inapp…

cs.CL2020

Text Classification with Few Examples using Controlled Generalization

Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan +2

Training data for text classification is often limited in practice, especially for applications with many output classes or involving many related classification problems. This mea…

cs.CL2019★ 3 cited

How Large Are Lions? Inducing Distributions over Quantitative Attributes

Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran +2

Most current NLP systems have little knowledge about quantitative attributes of objects and events. We propose an unsupervised method for collecting quantitative information from l…

cs.CL2018

Robust Handling of Polysemy via Sparse Representations

Abhijit Mahabal, Dan Roth, Sid Mittal

Words are polysemous and multi-faceted, with many shades of meanings. We suggest that sparse distributed representations are more suitable than other, commonly used, (dense) repres…