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Ariadne Dutch Dendrochronology Entity Recognizer
Identifies terms and phrases in Dutch for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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Ariadne Dutch Archaeology Named Entity Recognizer
Identifies terms and phrases in Dutch for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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Ariadne English Archaeology Named Entity Recognizer
Identifies terms and phrases in English for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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Ariadne Swedish Archaeology Named Entity Recognizer
Identifies terms and phrases in Swedish for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
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method-engine
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Ariadne English Dendrochronology Entity Recognizer
Identifies terms and phrases in English for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
-
method-engine
-
Ariadne Swedish Dendrochronology Entity Recognizer
Identifies terms and phrases in Swedish for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...-
method-engine
The resource: 'Method Engine' is not accessible as guest user. You must login to access it!
-
method-engine
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Learning to quantify: LeQua 2022 datasets
The aim of LeQua 2022 (the 1st edition of the CLEF “Learning to Quantify” lab) is to allow the comparative evaluation of methods for “learning to quantify” in textual... -
Cherenkov Telescope Data for Ordinal Quantification
This labeled data set is targeted at ordinal quantification. It appears in our research paper "Ordinal Quantification Through Regularization", which we have published at... -
Cross-Lingual Dataset of Crisis-Related Social Media
If you use this dataset, please cite the following paper: Fedor Vitiugin, Carlos Castillo: Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive...
