Difference between revisions of "SemEval"
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{{Event series | {{Event series | ||
+ | |Field=Natural language processing | ||
|Acronym=SemEval | |Acronym=SemEval | ||
|Title=International Workshop on Semantic Evaluation | |Title=International Workshop on Semantic Evaluation | ||
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}} | }} | ||
SemEval - From Wikipedia, the free encyclopedia [02.06.2020] | SemEval - From Wikipedia, the free encyclopedia [02.06.2020] |
Revision as of 00:27, 25 October 2021
Event series Rating
median | worst |
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List of all ratings can be found at SemEval/rating
Excel series Import and Export
SemEval | |
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International Workshop on Semantic Evaluation
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Categories: Natural language processing
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Avg. acceptance rate: | 0 |
Avg. acceptance rate (last 5 years): | 0 |
Table of Contents | |
International Workshop on Semantic Evaluation (SemEval) has an average acceptance rate of 0% (last 5 years 0%).
Events
There are 4 events of the series SemEval known to this wiki: SemEval 2017, SemEval 2018, SemEval 2019, SemEval 2020
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. | |
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SemEval 2020 | 2020 | Dec 12 | Dec 13 | ES/CT/Barcelona | ES | http://alt.qcri.org/semeval2020/ | |||||||
SemEval 2019 | 2019 | Jun 6 | Jun 7 | US/MN/Minneapolis | US | http://alt.qcri.org/semeval2019/ | |||||||
SemEval 2018 | 2018 | Jun 5 | Jun 6 | US/LA/New Orleans | US | http://alt.qcri.org/semeval2018/ | |||||||
SemEval 2017 | 2017 | Aug 3 | Aug 4 | CA/BC/Vancouver | CA | http://alt.qcri.org/semeval2017/ |
Submission/Acceptance
Locations
SemEval - From Wikipedia, the free encyclopedia [02.06.2020] SemEval (Semantic Evaluation) is an ongoing series of evaluations of computational semantic analysis systems; it evolved from the Senseval word sense evaluation series. The evaluations are intended to explore the nature of meaning in language. While meaning is intuitive to humans, transferring those intuitions to computational analysis has proved elusive.
This series of evaluations is providing a mechanism to characterize in more precise terms exactly what is necessary to compute in meaning. As such, the evaluations provide an emergent mechanism to identify the problems and solutions for computations with meaning. These exercises have evolved to articulate more of the dimensions that are involved in our use of language. They began with apparently simple attempts to identify word senses computationally. They have evolved to investigate the interrelationships among the elements in a sentence (e.g., semantic role labeling), relations between sentences (e.g., coreference), and the nature of what we are saying (semantic relations and sentiment analysis).
History
- Senseval-1 1998 @ Sussex
- Senseval-2 2001 @ Toulouse
- Senseval-3 2004 @ Barcelona
- SemEval-2007 2007 @ Prague
- SemEval-2010 2010 @ Uppsala
- SemEval-2012 2012 @ Montreal
- SemEval-2013 2013 @ Atlanta
- SemEval-2014 2014 @ Dublin
- SemEval-2015 2015 @ Denver
- SemEval-2016 2016 @ San Diego