Titlebook: Advances in Knowledge Discovery and Data Mining; 23rd Pacific-Asia Co Qiang Yang,Zhi-Hua Zhou,Sheng-Jun Huang Conference proceedings 2019 S

aplomb

Pert敏捷

Axel Sahovaler,David H. Yeh,Kevin Funguage inference tasks. This QA network enables our model to acquire better sentence encodings by modeling adjacent sentences in a dialogue as question-answer pairs. We evaluate our model in the benchmark EmotionX datasets provided by SocialNLP2018 and our model achieves the state-of-the-art performance.

Acquired

修饰

Cost Sensitive Learning in the Presence of Symmetric Label Noise978-3-658-03919-6

FOLD

chisel

Topic-Level Bursty Study for Bursty Topic Detection in Microblogs978-3-663-07833-3

不易燃

Syntax-Aware Representation for Aspect Term Extraction978-3-322-88816-7

amputation

Dependency-Aware Attention Model for Emotion Analysis for Online News978-3-322-86421-5

musicologist

BAB-QA: A New Neural Model for Emotion Detection in Multi-party Dialogue978-3-322-96979-8

共和国

Familial Dilated Cardiomyopathy Our model uses recorded failure history to make failure predictions on a water supply network. Multi-task learning is used to gain additional information from the failure records of water supply networks managed by other utility companies to improve prediction in one network. We achieve superior ac