3 papers
cs.AI2018
Block-Value Symmetries in Probabilistic Graphical Models
Gagan Madan, Ankit Anand, Mausam +1
One popular way for lifted inference in probabilistic graphical models is to first merge symmetric states into a single cluster (orbit) and then use these for downstream inference,…
cs.AI2017
A Survey of Distant Supervision Methods using PGMs
Gagan Madan
Relation Extraction refers to the task of populating a database with tuples of the form , where is a relation and , are entities. Distant supervision is…
cs.CL2016
Topic Modeling Using Distributed Word Embeddings
Ramandeep S Randhawa, Parag Jain, Gagan Madan
We propose a new algorithm for topic modeling, Vec2Topic, that identifies the main topics in a corpus using semantic information captured via high-dimensional distributed word embe…