Sentence examples for large corpus of documents from inspiring English sources

Known as CHEMDNER, this track publicly released a large corpus of documents containing manually annotated chemical named entities.

An alternative approach better suited for this large corpus of documents is the automated extraction of chemical structures.

In this work, we show the utility of DeepDive and distant supervision for extracting gene gene interactions from a large corpus of documents.

Although further testing of these grounding and impact extraction algorithms on a larger corpus of documents from open access journals is required, using such platforms it will become possible to assess the range of impacts that have been investigated though mutational analysis of target protein sequences and the outcomes of these investigations.

We build our work on a previously developed named entity recognizer for databases and software within bioinformatics (Duck et al., 2013), which we use to automatically extract resource names mentioned across a large corpus of full-text documents.

About 1200, the Middle Dutch period begins and from this time exists a large corpus of both literary and nonliterary documents.

A large corpus of images is needed to train computer vision algorithms to distinguish between cats, dogs, and houseplants.

In this work, we analyzed a large corpus of married couples' problem-solving interactions.

More so than his fiction, Lewis's large corpus of apologetic nonfiction is his most significant contribution to American evangelicalism.

Analyses were based on a large corpus of eye movements during scene viewing.

However, large corpora of such text documents are difficult to analyze without proper methods which are in part automated.