most citedProgressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis

13 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20191 cited

Cost-sensitive Regularization for Label Confusion-aware Event Detection

Hongyu Lin, Yaojie Lu, Xianpei Han +1

In supervised event detection, most of the mislabeling occurs between a small number of confusing type pairs, including trigger-NIL pairs and sibling sub-types of the same coarse t…

cs.CL20199 cited

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks

Hongyu Lin, Yaojie Lu, Xianpei Han +1

Sequential labeling-based NER approaches restrict each word belonging to at most one entity mention, which will face a serious problem when recognizing nested entity mentions. In t…

cs.CL201913 cited

Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis

Jialong Tang, Ziyao Lu, Jinsong Su +4

In aspect-level sentiment classification (ASC), it is prevalent to equip dominant neural models with attention mechanisms, for the sake of acquiring the importance of each context…

cs.CL20191 cited

Sentence Rewriting for Semantic Parsing

Bo Chen, Le Sun, Xianpei Han +1

A major challenge of semantic parsing is the vocabulary mismatch problem between natural language and target ontology. In this paper, we propose a sentence rewriting based semantic…

cs.AI20161 cited

Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams

Jiangang Ma, Le Sun, Hua Wang +2

Uncertain data streams have been widely generated in many Web applications. The uncertainty in data streams makes anomaly detection from sensor data streams far more challenging. I…