GENIA Event Corpus with meta-knowledge annotation

The corpus consists of 1000 MEDLINE abstracts. It is a subset of the original GENIA POS & term corpus, which was selected using the three MeSH terms human, blood cells and transcription factors. In each sentence, three types of information are annotated 1) biomedical terms are identified and assi...

Resource Type:Corpus
Media Type:Text
Language:English
CINTIL-Definitions

The corpus presented here is a collection of several tutorials and scientific papers in the field of Information Technology with 603 annotated definitions from Portuguese. The texts were collected from the Web at the beginning of the 2006 and they are organised in 32 files of three different sub-...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
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
PhenoCHF Corpus

PhenoCHF is an annotated corpus consisting of documents belonging to two different text types (i.e., narrative reports from electronic health records (EHRs) and literature articles). It is manually annotated by medical doctors with detailed information relating to mentions of phenotype concepts a...

Resource Type:Corpus
Media Type:Text
Language:English
An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis

An Arabic twitter data set of 7,503 tweets. The released data contains manual Sentiment Analysis annotations as well as automatically extracted features, saved in Comma Separated (CSV) and Attribute-Relation File Format (ARFF) file formats. Due to twitter privacy restrictions we replaced the orig...

Resource Type:Corpus
Media Type:Text
Language:Arabic
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
A Terminological Inventory for Biodiversity

In order to construct the inventory, we firstly compiled a species name dictionary by combining all of the names available in Catalogue of Life (CoL), Encyclopedia of Life (EoL) and Global Biodiversity Information Facility (GBIF). The terms contained in this dictionary were then located within ...

Resource Type:Lexical / Conceptual
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
YAKE! Keyword Extractor

Yake! (Campos et al. 2020) is a novel feature-based system for multi-lingual keyword extraction, which supports texts of different sizes, domain or languages. Unlike most of the systems, Yake! does not rely on dictionaries nor thesauri, neither is trained against any corpora. Instead, we follow a...

Resource Type:Tool / Service
UIMA/U-Compare STEPP Tagger

Part-of-speech tagger tuned to biomedical text. The tool is provided as a UIMA component, which forms part of the in-built library of components provided with the U-Compare platform (see separate META-SHARE record) for building and evaluating text mining workflows. The U-Compare Workbench (se...

Resource Type:Tool / Service
Language:English

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