Seminar on SDS Final class 5/4/2015

Topics discussed ASR, NLU in dialogue Dialogue management NLG, information presentation Evaluation Error recovery

Specialty Topics for Dialogue Systems turn-taking mixed-initiative referring in dialogue grounding and repair dialogue act modeling dialogue act recognition error recovery in dialogue prosody and information structure Argumentation & persuasion incremental speech processing multi‐modal dialogue multi-party dialogue (3 or more participants) tutorial dialogue multi‐task dialogue embodied conversational agents human-­‐robot dialogue interaction dialogue tracking in other language-­ ‐processing systems (machine translation, summarization/extrac.on) non-­‐cooperative dialogue systems (negotiation, deception) affective dialogue systems dialogue with different user populations (children, elderly, differently abled) dialogue “in the wild” long‐term Dialogue Companions user behavior, including entrainment in dialogue Seminar on SDS; Intro3

Final reports are due 5/15 (eod) Submit your final papers – You will be graded on the whole paper: Clarity (overall clarity of your paper) Implementation and soundness (method description) Substance (how much work is accomplished) Evaluation Meaningful comparison (related work) Impact of accompanying software (we will look at your github source code and evaluate for potential reusability)

Please include in your report Admin Section – URL of your github. – URL of your final report (if you agree for it to be published on the course webpage) – If you are planning to submit your work to a workshop, please indicate which workshop (I would be happy to help with your paper draft) – For each group member, a paragraph description of the project tasks accomplished

Please include in your report Framework evaluation (OpenDial/WitAI) – What are the strengths and weaknesses of the framework you were using? – On a scale from 1 (worst) – 10 (best) How easy was the framework to get started with? How easy was it to debug your code? – What are the challenges that you discovered while using the framework? – For Wit.ai – how much training data did you need to gather to make it usable? – For OpenDial – how much effort did it take to build NLU/DM/NLG/external components? – What suggestions would you make for the authors of the framework to improve it? – What extensions would you suggest for the framework? – Would you use this framework for another dialogue system?

Real Challenge – Dialogue proposal competition (for undergraduates) – Organized by CMU – Submit an idea for a dialogue system (May 14) – If selected, you will be invited for a workshop (August/September) – Team up with researchers and implement your ideas –