Sentence examples for the extracted events from inspiring English sources

The extracted events then underwent systematic visual examination.

Boundary correction of the extracted events is performed, so as to produce summaries including meaningful events apart from salient only.

Since the extracted events are of the protein/gene-specific BioNLP'09 Shared Task types, this trend can be seen to reflect the growing prominence of molecular biology.

Almost 25% (answers 5, 6 and 7) of the extracted events contained a wrong identified gene/protein, cell/anatomy or both of them, which means that precision was higher than the average for the named-entity recognition (cf. Table 2).

When the extracted events are broken up by publication year, a strong trend for increasing number of citations containing gene/protein mentions and events is visible, with 25% of citations from the last 10 years containing at least one event (Fig. 2).

Finally, in Stage 4, the extracted event is placed into context: the anatomical association component recognizes that the Interleukin 6 expression relates to the spleen, and the negation/speculation component identifies this event as both negated and speculative.

Additionally, a careful analysis of the wrongly extracted events returned by TEES when using gold-standard annotations (cf. low precision for CF-Kidney corpus in Table 4) could reveal inconsistencies in the manual annotations in our corpora.

While system performance on biomolecular event extraction is improving (Kim et al., 2011), there is little progress in the analysis of the context of extracted events and relations which help to characterize the knowledge conveyed within the text and build the argumentation within the article discourse.

The number of extracted events for the nine event types is presented in Table 3.

In the fourth stage, extracted events are enriched with contextual information, including species involved, anatomical locations associated with the event and whether extracted events have been reported as speculative or negated.

Using this approach logs are modeled as a tree whose edges represent extracted events in the form of algebraic terms.