Sentence examples for extracting sentences from inspiring English sources

Traditional studies on prior knowledge generation during reading activities have focused on extracting sentences from reading materials that are manually generated by website administrators and educators.

Most of the early work in automated text summarization was directed toward single document summaries, (Brandow et al., 1995; Johnson et al., 1997; Luhn, 1958) and typically used statistical measures for extracting sentences.

For each relevant section of the EHR, CDAPubMed analyzes the content using an NLP package, i.e., OpenNLP [ 32], extracting sentences and words (or tokens) from the free text content.

Extracting character level features and embeddings of complex words is found hard in many neural network architectures whereas extracting sentence level or word level features such as morphological tags and stems are more effectively achieved in convolutional neural networks.

For extracting MCSUs from the sentences, we started with a statistical parser to analyze the sentence structures.

This paper presents a model that incorporates contemporary theories of tense and aspect and develops a new framework for extracting temporal relations between two sentence-internal events, given their tense, aspect, and a temporal connecting word relating the two events.

It's time to stop extracting fossil fuels, say British researchers.

Related: It's time to stop extracting fossil fuels, say British researchers.

It's time to stop extracting fossil fuels say British researchers.

Autolysis was stopped by extracting DNA using the Genomix DNA extraction Kit (Talent).

This article originally aPissing on VinE US.