126 datasets found

Keywords: Computergraphik und Visualisierung

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  • Actor-critic Instance Segmentation

    Most approaches to visual scene analysis have emphasised parallel processing of the image elements. However, one area in which the sequential nature of vision is apparent, is...
  • Subjective Verbs Lexicons

    The English lexicons on this page originate from the works below: * Biber, D., Johansson, S., Leech, G., Conrad, S., and Finegan, E. (1999). Longman Grammar of Spoken and...
  • Concept Map Summaries

    This benchmark corpus for concept-map-based multi-document summariziation was introduced in the following publication: Tobias Falke and Iryna Gurevych. Bringing Structure into...
  • Med­i­cal Con­cept Em­bed­dings via La­beled Back­ground Cor­po­ra

    This entry contains the resources used in and resulting from Eneldo Loza Mencía, Gerard de Melo and Jinseok Nam, Medical Concept Embeddings via Labeled Background Corpora, in:...
  • DIP-SumEval: A Data Set of Human Summary Evaluations

    This repository contains the summaries and evaluations from the paper 'A Dataset for the Analysis of Text Quality Dimensions in Summarization Evaluation' presented at LREC 2020....
  • Whittle Networks datasets

    Datasets for paper "Whittle Networks: A Deep Likelihood Model for Time Series."
  • Manometer Validation Set

    The validation set used in the paper Industrial Manometer Detection and Reading for Autonomous Inspection Robots presented at ECMR 2021. The dataset contains (augmented) images...
  • Germeval 2017 Embeddings

    Word Embeddings to our paper and conll converted data of the shared task
  • GLASS

    A newly sense-annotated version of the German lexical substitution data set.
  • Elementary Concept Reasoning (ECR)

    Elementary Concept Reasoning (ECR) is a novel dataset focusing on object-centric visual concept learning. It contains RGB images (64×64×3) of 2D geometric objects on a constant...
  • Opposing Arguments in Persuasive Essays

    This corpus includes 402 persuasive essays. Each essay is annotated as “positive” if it includes an opposing argument and “negative” if it includes only arguments supporting the...
  • Umfragedaten zu "NFDI4Ing - Rückmeldung aus den Forschungscommunities"

    Die Online-Umfrage "NFDI4Ing - Rückmeldung aus den Forschungscommunities" wurde vom Konsortium NFDI4Ing (Nationale Forschungsdateninfrastruktur für die Ingenieurwissenschaften,...
  • Lexical Substitution Dataset for German.

    This article describes a lexical substitution dataset for German. The whole dataset contains 2,040 sentences from the German Wikipedia,with one target word in each sentence....
  • Wikipedia Discussion Corpora

    Various annotated Wikipedia resources
  • COALA StackExchange Answer Selection Datasets v1

    This resource contains the five non-factoid answer selection datasets based on StackExchange of our paper "COALA: A Neural Coverage-Based Approach for Long Answer Selection with...
  • Inverted Polarity Bigram Lexicons

    Sentiment prediction from Twitter is of the utmost interest for research and commercial organizations. Systems are usually using lexicons, where each word is positive or...
  • RWSE Wikipedia Revision Dataset

    Real-word spelling error datasets mined from the Wikipedia revision history. Each instance consists of the original sentence with an error and the sentence where the error has...
  • UKP Convincing Arguments v1

    Corpus content UKPConvArg1-full-XML This is the full corpus as referred in the article (Table 2, UKPConvArgAll). It contains 32 xml files, each file corresponding to one...
  • Cognate pairs for several languages

    Cognates for the following language pairs can be used for research purposes: en-es, en-de, en-ru, en-el, en-fa, de-cz. Includes: * The training and test data for the en-es...
  • Fine-tuned model weights for Stance Detection Benchmark System

    This collection includes model weights (BERT-based), fine-tuned in a multi-task setting on 10 heterogeneous stance detection datasets. For more information, please refer to the...
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