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
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
NPChunks

The NPChunks training corpus contains approximately 1,000 sentences, in a total of 24,243 tokens, selected randomly from the written part of the CINTIL corpus (Barreto et al, 2006). The CINTIL corpus is a linguistically interpreted corpus of Portuguese composed of 1 Million annotated tokens from ...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Bilingual corpus made out of PDF documents from the European Medicines Agency, (EMEA), https://www.ema.europa.eu, (February 2020) (EN-PT)

EN-PT Bilingual corpus made out of PDF documents from the European Medicines Agency, (EMEA), https://www.ema.europa.eu, (February 2020).

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese
LX-DSemVectors

LX-DSemVectors is distributional lexical semantics model, also known as word embeddings, for Portuguese (Rodrigues et al., 2016). This version, 2.2b, was trained on a corpus of 2 billion tokens and achieved state-of-the-art results on multiple lexical semantic tasks (Rodrigues & Branco, 2018). ...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:Portuguese
Portuguese RoBERTa language model

HuggingFace (pytorch) pre-trained roBERTa model in Portuguese, with 6 layers and 12 attention-heads, totaling 68M parameters. Pre-training was done on 10 million Portuguese sentences and 10 million English sentences from the Oscar corpus. Please cite: Santos, Rodrigo, João Rodrigues, Antóni...

Resource Type:Language Description
Media Type:Text
Languages:English
Portuguese
Adimen-SUMO v2.6

Adimen-SUMO is an off-the-shelf first-order ontology that has been obtained by reengineering out of the 88% of SUMO (Suggested Upper Merged Ontology). Adimen-SUMO can be used appropriately by FO theorem provers (like E-Prover or Vampire) for formal reasoning.

Resource Type:Lexical / Conceptual
Media Type:Text
Language:English
LX-Tagger

LX-Tagger is a freely available online service for the part-of-speech tagging of Portuguese. It was developed and is mantained by the NLX-Natural Language and Speech Group at the University of Lisbon, Department of Informatics. The service is composed by a set of shallow processing tools: A se...

Resource Type:Tool / Service
Language:Portuguese
Anonymised ParaCrawl release 7 Portuguese-English

This corpus was run through BiRoamer https://github.com/bitextor/biroamer to anonymise the Portuguese-English parallel data from release 7 of the ParaCrawl project, specifically "Broader Web-Scale Provision of Parallel Corpora for European Languages". This version is filtered with BiCleaner with ...

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese
CW Corpus

The Complex Word (CW) Corpus contains 731 sentences each with one annotated CW. These simplifications were mined from Simple Wikipedia edit histories. Each entry gives an example of a sentence requiring simplification by means of a single lexical edit. This resource is primarily designed for t...

Resource Type:Corpus
Media Type:Text
Language:English

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