Computational and Data Sciences Machine And Language … · 2019. 7. 15. · nVIDIA Computer...
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http://www.talukdar.net/mall-lab.html Thesis : Background knowledge is key to intelligent decision making Indian Institute of Science, Bangalore Google Web Search IBM Watson Jeopardy Question Answering System Our Goal Automatically gather, maintain and make world knowledge available to intelligent machines (and humans) at the right granularity, right relevance and the right time Ongoing Research @ MALL Lab • Representation Learning : powerful representation learning algorithms, implementing such priors, in the domain of language modelling. • Goal Oriented Ontology Induction : inferring new and relevant information about a target domain • Entity Centric Knowledge Bases : collecting useful attributes of the Entity specified by the user • Question Answering : automatically answering MCQs using world knowledge and corpus statistics. • Temporal Scoping of Relations : micro-reading documents to extract temporal information, scope and or- der relations present. • Validating Knowledge Graphs: validating the correctness of knowledge graphs of large magnitude. Big Text to Big Knowledge Made possible with access to background knowledge Faculty Incharge : Dr. Partha Talukdar ([email protected]) Computational and Data Sciences Machine And Language Learning (MALL) Lab Supported by : Knowledge Graph
Transcript of Computational and Data Sciences Machine And Language … · 2019. 7. 15. · nVIDIA Computer...
http://www.talukdar.net/mall-lab.html
Thesis : Background knowledge is key to intelligent decision making
Indian Institute of Science, Bangalore
Google Web Search IBM Watson
Jeopardy Question Answering System
Our Goal Automatically gather, maintain and make world knowledge available to intelligent machines
(and humans) at the right granularity, right relevance and the right time
Ongoing Research @ MALL Lab • Representation Learning : powerful representation learning algorithms, implementing such priors, in the
domain of language modelling. • Goal Oriented Ontology Induction : inferring new and relevant information about a target domain • Entity Centric Knowledge Bases : collecting useful attributes of the Entity specified by the user • Question Answering : automatically answering MCQs using world knowledge and corpus statistics. • Temporal Scoping of Relations : micro-reading documents to extract temporal information, scope and or-
der relations present. • Validating Knowledge Graphs: validating the correctness of knowledge graphs of large magnitude.
Big Text to Big Knowledge
Made possible with access to background
knowledge
Faculty Incharge :
Dr. Partha Talukdar ([email protected])
Computational and Data Sciences
Machine And Language Learning (MALL) Lab
Supported by :
Knowledge Graph
