activity
20192022
most citedProgressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis

13 citations · 21 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Procedural Text Understanding via Scene-Wise Evolution

Jialong Tang, Hongyu Lin, Meng Liao +5

Procedural text understanding requires machines to reason about entity states within the dynamical narratives. Current procedural text understanding approaches are commonly \textbf…

cs.CL2021

Syntactic and Semantic-driven Learning for Open Information Extraction

Jialong Tang, Yaojie Lu, Hongyu Lin +4

One of the biggest bottlenecks in building accurate, high coverage neural open IE systems is the need for large labelled corpora. The diversity of open domain corpora and the varie…

cs.CL2021

Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning

Jinsong Su, Jialong Tang, Hui Jiang +6

In aspect-based sentiment analysis (ABSA), many neural models are equipped with an attention mechanism to quantify the contribution of each context word to sentiment prediction. Ho…

cs.CL20208 cited

End-to-End Neural Event Coreference Resolution

Yaojie Lu, Hongyu Lin, Jialong Tang +2

Traditional event coreference systems usually rely on pipeline framework and hand-crafted features, which often face error propagation problem and have poor generalization ability.…

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…