English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Machine comprehension question answering, which finds an answer to thequestion given a passage, involves high-level reasoning processes ofunderstanding and tracking the relevant contents across various semantic unitssuch as words, phrases, and sentences in a document. This paper proposes thenovel question-aware sentence gating networks that directly incorporate thesentence-level information into word-level encoding processes. To this end, ourmodel first learns question-aware sentence representations and then dynamicallycombines them with word-level representations, resulting in semanticallymeaningful word representations for QA tasks. Experimental results demonstratethat our approach consistently improves the accuracy over existing baselineapproaches on various QA datasets and bears the wide applicability to otherneural network-based QA models.

Question-Aware Sentence Gating Networks for Question and Answering