Technology
One of the most challenging NLP tasks is natural language understanding and reasoning. How can we construct algorithms that are able to achieve human level understanding of text and be able to answer general questions about it?
This is truly an open problem, and one with the bAbI dataset has been constructed to facilitate. bAbI presents a variety of different language understanding and reasoning tasks and exists as benchmark for comparing approaches.
In this episode, Kyle talks to Rasmus Berg Palm about his recent paper Recurrent Relational Networks
More Episodes
[MINI] The Battle of the Sexes
2014-12-12
1
2014-12-12
1
[MINI] The Girlfriend Equation
2014-11-28
2
2014-11-28
2
[MINI] Monkeys on Typewriters
2014-11-14
4
2014-11-14
4
Mining the Social Web with Matthew Russell
2014-11-07
12
2014-11-07
12
[MINI] Is the Internet Secure?
2014-10-31
5
2014-10-31
5
[MINI] The T-Test
2014-10-17
20
2014-10-17
20
Data Myths with Karl Mamer
2014-10-10
6
2014-10-10
6
Contest Announcement
2014-10-08
4
2014-10-08
4
[MINI] Selection Bias
2014-10-03
10
2014-10-03
10
[MINI] Confidence Intervals
2014-09-26
15
2014-09-26
15
[MINI] Value of Information
2014-09-19
5
2014-09-19
5
Game Science Dice with Louis Zocchi
2014-09-17
4
2014-09-17
4
Data Science at ZestFinance with Marick Sinay
2014-09-12
10
2014-09-12
10
[MINI] Decision Tree Learning
2014-09-05
23
2014-09-05
23
[MINI] Noise!!
2014-08-22
18
2014-08-22
18
Get this podcast on your
phone, FREE
