SLT

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SLT
Spoken Language Technology Workshop
Categories: Natural language processing
Avg. acceptance rate:	0
Avg. acceptance rate (last 5 years):	0
Table of Contents

Spoken Language Technology Workshop (SLT) has an average acceptance rate of 0% (last 5 years 0%).

Events

There are 3 events of the series SLT known to this wiki: SLT 2016, SLT 2018, SLT 2021

	OrdinalThis property of the datatype Number represents the ordinal number of an event within an event series. Thereby it informs about the age of an event series. This property is not needed for the DOI registration process via DataCite and is optional.	Year	FromThis property is of the datatype Date and it is being used to provide the start date of an academic event or a project.</br>This property is aligned with icaltzd:dtstart. It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.	ToThis property is of the datatype Date and it is being used to provide the end date of an academic event or a project.</br>This property is aligned with icaltzd:dtend.</br>It is a mandatory property when describing an academic event and it is needed for the DOI registration process via DataCite.	CityThe property Has location city can be used to specify the city where a street, building, event, etc. is located in.</br>It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location country, property:Has location state and property:Has location address.</br>When specifying the city in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.	CountryThe property Has location country is used to describe the country where something is located in.</br>It is of the datatype Page and a special case of the Property:Located in. Other properties for specifying locations are: property:Has location city, property:Has location state and property:Has location address.</br>When specifying the country in which an academic event takes or took place, using this property is not needed for the DOI registration process via DataCite but strongly recommended.	presence	HomepageThis property is of the datatype URL and it is being used to provide the official website of an academic event or an event series.</br>It is a recommended property when describing an academic event or event series and it is not needed for the DOI registration process via DataCite.	TibKatId	GNDThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in the Integrated_Authority_File (GND). Its external formatter URI is http://d-nb.info/gnd/$1.</br>In Open Research it is mostly used to identify an academic event or event series within the GND. </br>The use of this property is optional.</br>It is not necessary for the DOI registration process via DataCite.	dblpThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in dblp. Its external formatter URI is https://dblp2.uni-trier.de/db/conf/$1.</br>In Open Research it is mostly used to identify an academic event within dblp. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.	WikiCFPThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in WikiCFP. Its external formatter URI is http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=$1.</br>In Open Research it is used to identify an academic event or event series within WikiCFP. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.	WikidataThis property of the datatype External identifier is used to provide the identifier with which an entity is indexed in Wikidata. Its external formatter URI is https://www.wikidata.org/entity/$1.</br>In Open Research it is mostly used to identify an academic event or event series within Wikidata. </br>The use of this property is optional. It is not necessary for the DOI registration process via DataCite.
SLT 2021		2021	Jan 19	Jan 22	CN/GD/Shenzhen	CN		http://www.slt2020.org/
SLT 2018		2018	Dec 18	Dec 21	GR/I/Athens	GR		http://www.slt2018.org/
SLT 2016		2016	Dec 13	Dec 16	US/CA/San Diego	US

Locations

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Spoken Language Technology Workshop (SLT)- IEEE Spoken Language Technology Workshop

IEEE Signal Processing Society @IEEEsps IEEE's first society, the Signal Processing Society is the world’s premier professional society for signal processing scientists and professionals since 1948.

Conference Call for Papers All papers related to spoken language technology are welcome (see topics below).

As part of our special theme, we particularly welcome the submission of papers that address challenges and limitations in current deep learning approaches, and opportunities for overcoming them (including but not limited to hybrid approaches using deep learning and traditional knowledge-based methods).

• Speech recognition and synthesis
• Spoken language understanding
• Spoken document retrieval
• Question answering from speech
• Assistive technologies
• Natural language processing
• Human/computer interaction
• Spoken dialog systems
• Speech data mining
• Emotion recognition from speech
• Spoken document summarization
• Spoken language corpora
• Speaker/language recognition
• Evaluation methodologies