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

The paper describes the systems submitted to SemEval-2020 Task 8: Memotion bythe `NIT-Agartala-NLP-Team'. A dataset of 8879 memes was made available by thetask organizers to train and test our models. Our systems include a LogisticRegression baseline, a BiLSTM + Attention-based learner and a transfer learningapproach with BERT. For the three sub-tasks A, B and C, we attained ranks24/33, 11/29 and 15/26, respectively. We highlight our difficulties inharnessing image information as well as some techniques and handcraftedfeatures we employ to overcome these issues. We also discuss various modellingissues and theorize possible solutions and reasons as to why these problemspersist.

NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor