activity
20182020
most citedCross-domain Human Parsing via Adversarial Feature and Label Adaptation

13 citations · 30 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CL20203 cited

Data Augmentation for Copy-Mechanism in Dialogue State Tracking

Xiaohui Song, Liangjun Zang, Yipeng Su +3

While several state-of-the-art approaches to dialogue state tracking (DST) have shown promising performances on several benchmarks, there is still a significant performance gap bet…

cs.CL2019

Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification

Qianwen Ma, Chunyuan Yuan, Wei Zhou +2

Automatically labeling multiple styles for every song is a comprehensive application in all kinds of music websites. Recently, some researches explore review-driven multi-label mus…

cs.CL2019

Jointly embedding the local and global relations of heterogeneous graph for rumor detection

Chunyuan Yuan, Qianwen Ma, Wei Zhou +2

The development of social media has revolutionized the way people communicate, share information and make decisions, but it also provides an ideal platform for publishing and sprea…

cs.CL2019

Learning review representations from user and product level information for spam detection

Chunyuan Yuan, Wei Zhou, Qianwen Ma +3

Opinion spam has become a widespread problem in social media, where hired spammers write deceptive reviews to promote or demote products to mislead the consumers for profit or fame…

cs.CL2019

TransSent: Towards Generation of Structured Sentences with Discourse Marker

Xing Wu, Dongjun Wei, Liangjun Zang +2

Structured sentences are important expressions in human writings and dialogues. Previous works on neural text generation fused semantic and structural information by encoding the e…

cs.CL2019

"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer

Xing Wu, Tao Zhang, Liangjun Zang +2

This paper focuses on the task of sentiment transfer on non-parallel text, which modifies sentiment attributes (e.g., positive or negative) of sentences while preserving their attr…