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

This paper describes the BLCU-ICALL system used in the SemEval-2022 Task 1Comparing Dictionaries and Word Embeddings, the Definition Modeling subtrack,achieving 1st on Italian, 2nd on Spanish and Russian, and 3rd on English andFrench. We propose a transformer-based multitasking framework to explore thetask. The framework integrates multiple embedding architectures through thecross-attention mechanism, and captures the structure of glosses through amasking language model objective. Additionally, we also investigate a simplebut effective model ensembling strategy to further improve the robustness. Theevaluation results show the effectiveness of our solution. We release our codeat: https://github.com/blcuicall/SemEval2022-Task1-DM.

BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling