The dataset created for evaluation of summaries generated from social media posted during five natural disasters. The dataset contains: ground truth reports created by human...

This dataset consists of 503 pairs of Wikipedia entities drawn from the New York Times dataset with a human assigned relatedness score. The domain experts based their...

Identifies terms and phrases in English for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...

Identifies terms and phrases in Dutch for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...

This (link to the) dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014. This dataset includes reviews...

If you use this dataset, please cite the following paper: Fedor Vitiugin, Carlos Castillo: Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive...

This tool creates a dictionary with inverse document frequency (idf) values from the Google NGrams dataset.

This service annotates chemical named entities using the open source OSCAR4 tagger. As well as the names of the detected entities the tagger also returns their structure in...

Identifies terms and phrases in Swedish for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...

The dataset is built by exploiting the Spotify and SoundCloud APIs. It is composed of over 14,500 different songs of both famous and less famous Italian musicians. Each song...

Identifies terms and phrases in Swedish for analysing archaeological text. The method delivers named entities of archaeological elements, wood material, sample, and date, with...

ArchiveSpark is an Apache Spark framework for easy data access, processing, extraction as well as derivation for Web archives and archival collections. It has a simple and...

This data set comprises a labeled training set, validation samples, and testing samples for ordinal quantification. It appears in our research paper "Ordinal Quantification...

Embeddings were created through applying word2vec skipgram to a corpus of wikipedia non-stub articles from a December 2015 English dump with the following parameters: -cbow 0...

This labeled data set is targeted at ordinal quantification. It appears in our research paper "Ordinal Quantification Through Regularization", which we have published at...

The aim of LeQua 2022 (the 1st edition of the CLEF “Learning to Quantify” lab) is to allow the comparative evaluation of methods for “learning to quantify” in textual...

Identifies terms and phrases in Dutch for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...

Identifies terms and phrases in English for analysing archaeological text. The method delivers named entities of archaeological context, physical object, material, time...

This dataset consists of a sample of 365 news published by Wikinews from November 2004 to June 2014 and annotated with about 5000 entities, each associated with a saliency...