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Found 5 papers, 0 papers with code
MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup
To solve the problem of poor performance of deep neural network models due to insufficient data, a simple yet effective interpolation-based data augmentation method is proposed: MSMix (Manifold Swap Mixup).
Dialogue Act Recognition via CRF-Attentive Structured Network
Dialogue Act Recognition (DAR) is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention.
Smarnet: Teaching Machines to Read and Comprehend Like Human
Machine Comprehension (MC) is a challenging task in Natural Language Processing field, which aims to guide the machine to comprehend a passage and answer the given question.
Ranked #33 on
Question Answering
on SQuAD1.1 dev
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning
However, it is not effective for users to attain answers within minutes.
Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning
The challenges in this task are the lexical gaps between questions for the word ambiguity and word mismatch problem.
