Sentence examples for extractive text from inspiring English sources

According to experimental results, applying extractive text features to short text clustering significantly improves clustering effect and efficiently addresses high-dimensional and sparse short text space vectors.

Text summarization is either extractive or abstractive.

Because of the complexity of the abstractive approach, the vast majority of work in text summarization has adopted an extractive approach.

so far have been used to create extractive summaries and more use cases of filtering text during information extraction are in progress.

extractive unit to recover toxic extractant.

As a result, simple full-text retrieval or, to a lesser extent, automatic extractive or associative indexing methods are the predominant methods used in non-library contexts.

Text summarization can be broadly divided into two main categories, namely, extractive summarization and abstractive summarization.

Recently, Agarwal and Yu (2009) proposed an extractive summarization technique for figures in biomedical literature which employs a sentence classification system for selection of sentences from the full text.

Extractive industries are booming.

Extractive institutions are the historical norm.

We have the Extractive Industries Initiative.