Titlebook: Natural Language Processing and Chinese Computing; 8th CCF Internationa Jie Tang,Min-Yen Kan,Hongying‘Zan Conference proceedings 2019 Sprin

V切開

organic-matrix

FID

Co-attention and Aggregation Based Chinese Recognizing Textual Entailment Modelaggregates this feature with another feature obtained from sentences. Our model achieved 93.5% accuracy on CCL2018 textual entailment dataset, which is higher than the first place in previous evaluations. Experimental results showed that recognition of contradiction relations is difficult, but our m

骯臟

excrete

Seizure

archenemy

debble

PATHY

carotenoids

An Improved Class-Center Method for Text Classification Using Dependencies and WordNetdencies and the WordNet dictionary. Experiments show that, compared with traditional text classification algorithms, the improved class-center vector method has lower time complexity and higher accuracy on a large corpus.