Sentence examples for span of text from inspiring English sources

Each of these broad categories is associated in turn with its own more delicate taxonomy of sub-types (i.e. sub-types of Judgement and so on) for a particular span of text.

When the span of text in question indirectly 'invokes' an attitudinal value, I argue that it is important that analysts do not depend entirely on intuition when deciding on a classification according to the attitude framework, and that they avoid offering ad hoc criteria by which a particular classification has been made.

While the set of features offered here follows Martin and White in recognising these as key strategies or textual arrangements by which attitudinal stance may be indirectly indicated or put into play, it is important to recognise that other mechanisms or discursive strategies may also play a role when a span of text has the potential to invoke an attitudinal value.

Annotation projects similar to this one have typically been carried out using text sources that already had hand-curated syntactic parses, reducing the question of what span of text to annotate for a given argument to the question of node selection (for the distinction between node selection or role identification and role classification, see Palmer et al. 2005 [2005

The output of the NER task is a tagged span of text identifying bacteria name or a concept that is a member of the set of concepts constituting the intersection of T4SS concepts and one of biological process, cellular component, or molecular function.

An additional function of this editor allows the view graph to be converted into a span of text.

The editor allows for adding new span-of-text annotations, removing or modifying previously identified annotations and adding metadata.

The conversion from the original BioNLP format to BioC is more complex than that from the Metabolites corpus and goes beyond simple span-of-text annotations.

We propose a small set of actions that derive AMR subgraphs by transformations on spans of text, which allows for more robust learning of this stage.

A simple tool for annotating spans of text with classes suitable for supervised training of named entity recognition and information extraction models.

Examining RNN behavior on experimentally controlled sentences designed to expose filler gap dependencies, we show that RNNs can represent the relationship in multiple syntactic positions and over large spans of text.