15 citations · 61 across the 12 of their papers we have counts for
12 papers
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Lingwei Wei, Dou Hu, Wei Zhou +5
Document-level Sentiment Analysis (DSA) is more challenging due to vague semantic links and complicate sentiment information. Recent works have been devoted to leveraging text summ…
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…
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…
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…
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…
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…
"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…
Imbalanced Sentiment Classification Enhanced with Discourse Marker
Tao Zhang, Xing Wu, Meng Lin +2
Imbalanced data commonly exists in real world, espacially in sentiment-related corpus, making it difficult to train a classifier to distinguish latent sentiment in text data. We ob…
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Neural Networks
Jinrong Guo, Wantao Liu, Wang Wang +4
Typically, Ultra-deep neural network(UDNN) tends to yield high-quality model, but its training process is usually resource intensive and time-consuming. Modern GPU's scarce DRAM ca…
Conditional BERT Contextual Augmentation
Xing Wu, Shangwen Lv, Liangjun Zang +2
We propose a novel data augmentation method for labeled sentences called conditional BERT contextual augmentation. Data augmentation methods are often applied to prevent overfittin…
Cross-domain Human Parsing via Adversarial Feature and Label Adaptation
Si Liu, Yao Sun, Defa Zhu +4
Human parsing has been extensively studied recently due to its wide applications in many important scenarios. Mainstream fashion parsing models focus on parsing the high-resolution…
Anomaly Sequences Detection from Logs Based on Compression
Nan Wang, Jizhong Han, Jinyun Fang
Mining information from logs is an old and still active research topic. In recent years, with the rapid emerging of cloud computing, log mining becomes increasingly important to in…