@InProceedings{Huber2017_228,
<br/>   author = {Markus Huber and Ronald Römer and Matthias Wolff},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2017},
<br/>   title = {Little Drop of Mulligatawny Soup, Miss Sophie? Automatic Speech Understanding provided by Petri Nets},
<br/>   year = {2017},
<br/>   editor = {Jürgen Trouvain and Ingmar Steiner and Bernd Möbius},
<br/>   month = mar,
<br/>   pages = {122--129},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {This paper contributes to seamless automata-based integration of speech
recognition and natural language understanding. We describe a new transducer
between sequential utterances and partially-ordered semantic structures which can
be composed with finite state machines. After a brief discussion of the limitations of
previous approaches and some mathematical preliminaries, we will recapitulate the
application of Petri net transducers (PNTs) to the bidirectional translation between
sequences and partial orders. Then we will show how recursive hierarchical PNTs
can be used to create partially-ordered semantic structures of arbitrary width and
how to build a seamless speech signal-to-semantics recognition network.},
<br/>   isbn = {978-3-959080-92-7},
<br/>   issn = {0940-6832},
<br/>   keywords = {Poster},
<br/>   url = {https://www.essv.de/pdf/2017_122_129.pdf},
<br/>}