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HollyChat! Domain Specific Conversational Agents
Most of the AI systems today are driven by three key components (i) data (ii) common sense knowledge and (iii) powerful learning algorithms which can harness this data and knowledge to learn task specific meaningful…
A Joint Model for Question Answering and Question Generation
At the Microsoft Research Montreal lab, one of our primary research focuses is to advance the field of Question Answering. Automatic question-answering systems can provide humans with efficient access to vast amounts of information, and…
Fundamentals of User Studies
Overview of important methods and techniques applied in user studies from the perspective of academic research, and also from the perspective of product development. The talk is ended with two examples of projects done at…
Spoken Dialogue Systems – Personal Assistants and Non-Task Oriented Systems
Part 2 of Alan W Black’s Spoken Dialogue Systems talk based on lectures he gave at Carnegie Mellon University.
Spoken Dialog Systems – Task Oriented Systems
Tutorial on what actual dialog systems are like and the problems we have with them, based on lectures Alan gave at Carnegie Mellon University.
A Generic Framework for Mining Top-k Representative Subgraph Patterns
Mining subgraph patterns is an active area of research. Till now, the focus has primarily been on mining all subgraph patterns in the given database. However, due to the exponential subgraph search space, the number…
Universally Scalable Concurrent Search Data Structures
The design of fast, scalable, and correct concurrent systems remains a notoriously difficult task. Particularly problematic is the design of fast and scalable concurrent search data structures, which lie at the core of many modern…