4

This Theano tutorial provide a dialogue state tracking systems (slot filling) with a graphical model based (recurrent neural networks) dialogue state representation. You probably need a decently large training set though: on the Fourth Dialog State Tracking Challenge (DSTC4) last year, we (and other teams) unsuccessfully tried some neural networks but in ...


3

First, maybe, some kind of the "positive feedback" in particular and "feedback" terms at all. It seem to use this terms in field of psyhology. But this is more about your questions - there are not only one phenomenon (which more close to 'Transactional Model', see below), but 'of communication' theory series: https://en.m.wikipedia.org/...


3

From what I have been reading, Speech Acts are meant to be more general than Dialogue Acts. However, you are correct, there is much overlap between the Speech Acts and the difference is not apparent. From Wikipedia's stub on Dialogue Acts: A dialog act is a specialized speech act. For example, Question is a speech act, but Question_on_hotel is a dialog ...


2

Some particularly conservative Hindi speakers say "raam raam" (राम राम) instead of "hello", whether they are answering a telephone, or greeting someone in person. However, this phrase is becoming less and less common.


2

Surely there are many interpretations of these sorts of phenomena, however semiotics seems apt based on your explanation/how you seem to be thinking about this. From the paradigm of topological semiotics, communicating to convey information is much like plotting points (albeit more like diffuse regions) on a high-dimensional map, in which the intersection ...


2

Concretely I would suggest film subtitles or telephone data, depending on your exact application. A Survey of Available Corpora For Building Data-Driven Dialogue Systems (PDF), published by researchers at the Université de Montréal and McGill, has a good overview. The relevant section Human-Human Spoken Corpora gives overviews and links to: - Switchboard ...


1

These are some examples I've found myself: https://github.com/jeremyfix/dstc (rule-based, advanced visualization) https://github.com/CallumMain/DNN-DST (Deep Neural Net-based) https://github.com/UFAL-DSG/xtrack2 (Recurrent Neural Net-based) https://github.com/UFAL-DSG/alex/blob/master/alex/components/dm/dstc_tracker.py (Bayesian Discriminative tracking) ...


1

As stated here, the corpus is a bunch of XML files in which the authors are encoded as an attribute value to a post element: To view the individual XML files in an editor (because this will help you understanding their strcture), just go to the directory where it is stored (default directories are given here). If you want to use it in Python: nps_chat....


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