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Katalog inschriftloser Monumente
Die hier zusammengefassten Tabellen verzeichnen die im Rahmen der Erstellung meiner Dissertation gesammelten, nicht-inschrifttragenden Steinmonumente aus dem Untersuchungsgebiet... -
A harmonised testsuite for social media POS tagging (DE)
A harmonised POS testsuite of web data, CMC and Twitter microtext, with word forms and STTS pos tags (+ some additional CMC-specific tags). UD pos tags have been automatically... -
Image-based screening for stress granule regulators
The supplied macro provides the opportunity to analyse large-scale image datasets, derived from image-based screening approaches. It can be used as a base for the segmentation... -
Cataloging Cultural Objects (CCO) – The CCO Commons examples in VRA Core 4 XML
“Cataloging Cultural Objects - a Guide to Describing Cultural Works and Their Images” (CCO) provides a data content standard for catalogers of cultural heritage. It is a... -
DeModify
deModify consists of 3631 instances, each with three annotations obtained through CrowdFlower. An instance is a short story in which a modifier is annotated with respect to its... -
The MSC Data Set
From this page you can download resources we created for modal sense classification as reported in Zhou et al. (2015), Marasović et al. (2016) and Marasović and Frank (2015)... -
Twitter Titling Corpus
The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the... -
X-SRL Dataset and mBERT Word Aligner
This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source... -
Countercyclical Risk Aversion: Beyond Financial Professionals [Online Appendi...
We test if Cohn et al.’s (2015) experimental results on countercyclical risk aversion exhibited by financial professionals generalize to a standard student sample. In our... -
Converter for content-to-head style syntactic dependencies
A set of Python scripts that convert function-head style encodings in dependency treebanks in a content-head style encoding (as used in the UD treebanks) and vice versa (for... -
Peptide Boronic Acids by Late-Stage Hydroboration on the Solid Phase [Researc...
Organoboron compounds have a wide range of applications in numerous research fields, and methods to incorporate them in biomolecules are much sought after. Here, on-resin... -
Der arme Heinrich - digital
Hartmann’s von Aue Der arme Heinrich, composed towards the end of the 12th century, is a legendary tale of a man suffering from leprosy who is miraculously healed. This short... -
Antiquitatum Thesaurus Dataset 2024
Der Datensatz enthält einen umfassenden Auszug aus dem Antiquitatum-Thesaurus-Triplestore. Bei den Triples handelt es sich um Daten zu 15.000 digitalen Objekten, die... -
Multilingual Modal Sense Classification using a Convolutional Neural Network ...
Abstract Modal sense classification (MSC) is aspecial WSD task that depends on themeaning of the proposition in the modal’s scope. We explore a CNN architecture for... -
Datasets for Dependency Tree Reranking
This resource contains the datasets for dependency tree reranking in 3 languages: English, German and Czech. The creation, analysis and experiment results of the datasets are... -
COREC – A neural multi-label COmmonsense RElation Classification system
We examine the learnability of Commonsense knowledge relations as represented in CONCEPTNET. We develop a neural open world multi-label classification system that focuses on the... -
Neural Dependency Parser with Biaffine Attention
This resource contains the code of the dependency parser used in the paper: Fankhauser, et al. (2020). "Evaluating a Dependency Parser on DeReKo". The parser is a... -
Neural PP Attachment Disambiguation Systems
This resource contains code for different types of neural PP attachment disambiguation systems: A disambiguation system inspired by de Kok et al. (2017) but with the ranking... -
KGE Algorithms
An updated method for link prediction that uses a regularization factor that models relation argument types Abstract (Kotnis and Nastase, 2017): Learning relations based on... -
MACE-AL
A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.
