2 citations · 3 across the 3 of their papers we have counts for
5 papers
Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
Yiping Jin, Akshay Bhatia, Dittaya Wanvarie
Weakly-supervised text classification aims to induce text classifiers from only a few user-provided seed words. The vast majority of previous work assumes high-quality seed words a…
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia
Yiping Jin, Vishakha Kadam, Dittaya Wanvarie
Contextual advertising provides advertisers with the opportunity to target the context which is most relevant to their ads. However, its power cannot be fully utilized unless we ca…
Toward Improving Coherence and Diversity of Slogan Generation
Yiping Jin, Akshay Bhatia, Dittaya Wanvarie +1
Previous work in slogan generation focused on utilising slogan skeletons mined from existing slogans. While some generated slogans can be catchy, they are often not coherent with t…
Learning Only from Relevant Keywords and Unlabeled Documents
Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin +2
We consider a document classification problem where document labels are absent but only relevant keywords of a target class and unlabeled documents are given. Although heuristic me…
Lukthung Classification Using Neural Networks on Lyrics and Audios
Kawisorn Kamtue, Kasina Euchukanonchai, Dittaya Wanvarie +1
Music genre classification is a widely researched topic in music information retrieval (MIR). Being able to automatically tag genres will benefit music streaming service providers…