VISTA@UE-SA

VISTA@UE-SA is a freely available on-line service for the sentiment analysis of short sentences (tweets) in Portuguese. This service was developed and is maintained at the University of Evora by the VISTA - Video, Image, Speech, and Text Analysis Group of the Department of Informatics.

Resource Type:Tool / Service
XGLUE benchmark dataset

XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained models with respect to cross-lingual natural language understanding and generation. XGLUE is composed of 11 tasks spans 19 languages. For each task, the training data is only available in English. This me...

Resource Type:Corpus
Media Type:Text
Languages:Arabic
Bulgarian
Chinese
Dutch; Flemish
English
French
German
Greek, Modern (1453-)
Hindi
Italian
Polish
Portuguese
Russian
Spanish; Castilian
Swahili
Thai
Turkish
Urdu
Vietnamese
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
YamCha: Yet Another Multipurpose CHunk Annotator

YamCha is a generic, customizable, and open source text chunker oriented toward a lot of NLP tasks, such as POS tagging, Named Entity Recognition, base NP chunking, and Text Chunking. We used it for NP chunking.

Resource Type:Tool / Service

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