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

Online forms are widely used to collect data from human and have amulti-billion market. Many software products provide online services forcreating semi-structured forms where questions and descriptions are organizedby pre-defined structures. However, the design and creation process of forms isstill tedious and requires expert knowledge. To assist form designers, in thiswork we present FormLM to model online forms (by enhancing pre-trained languagemodel with form structural information) and recommend form creation ideas(including question / options recommendations and block type suggestion). Formodel training and evaluation, we collect the first public online form datasetwith 62K online forms. Experiment results show that FormLM significantlyoutperforms general-purpose language models on all tasks, with an improvementby 4.71 on Question Recommendation and 10.6 on Block Type Suggestion in termsof ROUGE-1 and Macro-F1, respectively.

FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information