AcadOnto

An academic domain ontology populated using IIT Bombay organization corpus, web and the linked open data.

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English
Laws of Malta - English

The corpus contains the Laws of Malta in English from the official government website. The unannotated raw text files were extracted from the pdf files that can be found on the website.

Resource Type:Corpus
Media Type:Text
Language:English
English Acquis Communautaire

This is the English version of the Acquis Communautaire (AC), which is the total body of European Union (EU) law applicable in the EU Member States. It consists of selected texts between the 1950s and today.

Resource Type:Corpus
Media Type:Text
Language:English
HIMERA Corpus

The HIMERA annotated corpus contains a set of published historical medical documents that have been manually annotated with semantic information that is relevant to the study of medical history and public health. Specifically, annotations correspond to seven different entity types and two differe...

Resource Type:Corpus
Media Type:Text
Language:English
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
FEUP Tweets

Tweet corpus

Resource Type:Corpus
Media Type:Text
Language:English
Georeferenced Tweets

Tweets annotated with geographic coordinates

Resource Type:Corpus
Media Type:Text
Language:English
U-Compare Type system

The resource constitues of a hierarchically-structured system of data types, which is intended to be suitable for describing the inputs and output annotation types of a wide range of natural language processing applications which operate within the UIMA Framework. It is being developed in conjunc...

Resource Type:Language Description
Media Type:Text
Language:English
askIT Dataset

Collection of dialogues extracted from subreddits related to Information Technology (IT) and extracted with RDET (Reddit Dataset Extraction Tool). It is composed of 61,842,638 tokens in 179,358 dialogues.

Resource Type:Corpus
Media Type:Text
Language:English
Time-sensitive inventory of medical terminology

This inventory contains a set of terms that are relevant to the study of medical history. The inventory is organised as a set of "heading terms", belonging to one of seven different semantic categories, each of which is accompanied by a set of semantically-related terms. There are around 175,0...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English

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