Sentence examples for interactions extraction from inspiring English sources

Initial context analysis indicated a widespread lack of public understanding of groundwater systems and processes, leading to misconceptions about the origin of local groundwater resources, groundwater surface water interactions, extraction rates and impacts.

A mixed level factorial 3 × 23 design was performed to asses the influence of several factors and their interactions (extraction temperature, fibre coating, salt addition and sample volume) on the extraction efficiency.

After the unsupervised patterns have been established, these patterns are used for extracting the related regulation sentences from literatures in the interaction extraction modules.

This paper presents a protein protein interaction extraction system BioPPIExtractor for biomedical literature.

The previous studies on the interaction extraction task can be assigned to several categories.

This system is composed of two major modules, i.e., the pattern generation module and the interaction extraction module.

By clicking the link to "co-occurrence times", it prompts the co-occurred abstracts and the highlighted interaction extraction in the abstracts (Step 5).

Considering interaction extraction in the gene regulation mining issue, to the best of our knowledge, there are few studies which deal exclusively with gene regulation.

We try to evaluate an interaction extraction tool, PIE [2], to find related sentences from annotated sentences of five transcription factors, i.e., E2F1, CREB, RAR-alpha, AP2 and ELK1.

In this section, we describe our approach to hidden interaction extraction using multi-level context terms.

Automatic interaction extraction may directly contribute to our knowledge of PPIs.