Error in labelling

Hurried Psychiatric Labelling: A Preventable Medical Error in an Emergency Department

Applying Spelling Error Correction Techniques for Improving Semantic Role Labelling

This paper describes our approach to the CoNLL2005 shared task: semantic role labelling. We do many of the obvious things that can be found in the other submissions as well. We use syntactic trees for deriving instances, partly at the constituent level and partly at the word level. On both levels we edit the data down to only the predicted positive cases of verb-constituent or verb-word pairs e...

Neural Sequence-Labelling Models for Grammatical Error Correction

We propose an approach to N -best list reranking using neural sequence-labelling models. We train a compositional model for error detection that calculates the probability of each token in a sentence being correct or incorrect, utilising the full sentence as context. Using the error detection model, we then re-rank the N best hypotheses generated by statistical machine translation systems. Our ...

On Labelling Statements in Multi-Labelling Argumentation

In computational models of argumentation, argument justification has attracted more attention than statement justification, and significant sensitivity losses are identifiable when dealing with the justification of statements by otherwise appealing formalisms. This paper reappraises statement justification as a formalism-independent component in argument-based reasoning. We introduce a novel ge...

Immuno-gold Labelling of Chlamydia trachomatis

Background Chlamydia trachomatis is considered as an important cause of preventable sexually transmitted diseases worldwide. It is known to be of an obligate intracellular nature and enters its target cells via an endocytic process. As major outer membrane protein (MOMP) is one of the main candidates for the attachment and entry of chlamydia to the host cells we have tried to label the epitopes...