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
GENIA Tagger

The GENIA tagger analyzes English sentences and outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts.

Resource Type:Tool / Service
Language:English
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
Enju parser

Enju is a syntactic parser for English. The grammar used by the parser is based on Head Driven Phrase Structure Grammar (HPSG). Enju can analyse syntactic/semantic structures of English sentences can output phrase structure and predicate-argument structures.

Resource Type:Tool / Service
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
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
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

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