TinySVM: Support Vector Machines

TinySVM is an implementation of Support Vector Machines (SVMs) (Vapnik, 1995; Vapnik, 1998) for the problem of pattern recognition.

Resource Type:Tool / Service
ExtraGLUE

ExtraGLUE is a Portuguese dataset obtained by the automatic translation of some of the tasks in the GLUE and SuperGLUE benchmarks. Two variants of Portuguese are considered, namely European Portuguese and American Portuguese. The 14 tasks in extraGLUE cover different aspects of language unders...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
A Tweet Dataset Annotated in Four Emotion Dimensions

A corpus of 2,019 tweets annotated along each of four emotion dimensions: Valence, Dominance, Arousal and Surprise. Two annotation schemes are used: a 5-point ordinal scale (using SAM manikins for Valence, Arousal and Dominance) and pair-wise comparisons with an "about the same" option (here 2,01...

Resource Type:Corpus
Media Type:Text
Language:English
Dundee GCG-Bank

Dundee GCG-Bank contains hand-corrected deep syntactic annotations for the Dundee eye-tracking corpus (Kennedy et al., 2003). The annotations are designed to support psycholinguistic investigation into the structural determinants of sentence processing effort. Dundee GCG-Bank is distributed as a ...

Resource Type:Corpus
Media Type:Text
Language:English
Expression of interest (Processed)

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. International call for expression of interest for the se...

Resource Type:Corpus
Media Type:Text
Languages:English
Greek, Modern (1453-)
N3-Collection

We publish three novel datasets called N3. N3 will be published using NIF ensuring a greater interoperability to overcome the need for corpus-specific parsers. The data can be downloaded from our project homepage.

Resource Type:Corpus
Media Type:Text
Languages:English
German

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