1,283 datasets found

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...

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...

This project utilizes lectin staining combined with multiplexed super-resolution microscopy to explore the glycosylation patterns within different cellular contexts, such as...

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...

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...

Deep layers (V/VI) of the entorhinal cortex transfer hippocampal neuronal activity to downstream neocortical networks. In addition, neurons in layer VI (LVI) of the medial...

Triptycenes with their predefined D3h-symmetry are excellent molecular building blocks to construct shape-persistent nanobelts having π-orbitals orthogonal to the...

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...

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...

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...

Dieses Datenset enthält die der Edition zugrundeliegenden Forschungsdaten, also vor allem die in TEI/XML codierten Transkriptionen und Kommentare sowie die daraus abgeleiteten...

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...

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...

Dieses Datenset enthält die offenen semantischen Daten, die der Linked-Open-Data-Applikation «Johannes Itten Linked Archive» zugrunde liegen. Die Wissensplattform ist als...

LIDO (Lightweight Information Describing Objects) ist ein XML-Schema für die standardkonforme Bereitstellung von Metadaten über kulturelle Objekte in einer Vielzahl von...

Understanding a social situation requires the ability to reason about the underlying emotions and behaviour of others. For example, when we read a personal story, we use our...

A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning.

This resource contains code, data and pre-trained models for various types of neural dependency parsers and LSTM labelers used in the papers: Do et al. (2017). "What Do We Need...

Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like...

We describe a method for representing knowledge graphs that capture an intensional representation of the original extensional information. This representation is very compact,...