activity
20162024
most citedProgressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis

13 citations · 44 across the 20 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL20225 cited

Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction

Tianshu Wang, Hongyu Lin, Cheng Fu +6

Entity matching (EM) is the most critical step for entity resolution (ER). While current deep learningbased methods achieve very impressive performance on standard EM benchmarks, t…

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…