The SUMMA Text Summarization (ES) uses the SUMMA toolkit developed by Horacio Saggion to provide a generic Spanish document summarizer.

This tool recognises opinionated sentences in English tweets and it classifies them as positive or negative. It also indicates emotion type, author and target of the opinion,...

English named entity recognition service. Identifies names of persons, locations, organizations, as well as money amounts, time and date expressions

Named entity recognition service for Twitter data. Identifies person, location, organization etc. and also performs normalization of abbreviations and common shorthands (such as...

Annotates numbers and measurement expressions in text. This method recognises many types of measurements including length, temperature, time and speed, and calculates their...

A pipeline designed to detect political topics, hashtags, URLs, user mention, and hashtag-based voting intentions, expressed in tweets about the UK referendum on membership of...

User generated content such as tweets often make claims that are unsubstantiated and possibly untrue. This service attempts to classify whether a text is discussing a rumour...

A service that tags abusive utterances in any text with the type of abuse (sexist, racist, etc.) and whether the abuse was aimed at the addressee or some other party. This can...

A machine learning classifier trained to categorise text about COVID-19 vaccines into 6 categories - Liberty or Freedom; Development, Provision and Access; Safety, Efficacy...

A machine learning classifier trained to categorise claims about COVID-19 into 10 categories proposed by the Reuters Institute for the Study of Journalism - Public authority...

Classifies short texts such as Wikipedia comments based on whether they contain toxic language

A service that tags abusive utterances in any text with the type of abuse (sexist, racist, etc.) and whether the abuse was aimed at the addressee or some other party. This can...

Service that processes threads of short texts such as tweets or forum postings and attempts to determine the stance (support, deny, question or comment) of each reply towards...

Service that processes threads of short English-language texts such as tweets or forum postings and attempts to determine the stance (support, deny, question or comment) of...

Classifies short texts such as Tweets based on whether they contain offensive language

Attempts to classify whether a text is hyper-partisan or not. This system won first prize in the Hyperpartisan News Detection task at SemEval 2019

Service that takes two news article texts and attempts to determine whether they refer to the same underlying news story. The articles may be in the same or in different...

TRIPLEX is an explainability package for Transformer-based models fine-tuned on Natural Language Inference, Semantic Text Similarity, or Text Classification tasks. TRIPLEX...

An event classification package.

This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...