Making Long-Context Language Models Better Multi-Hop Reasoners

1 code implementation • 6 Aug 2024 • Yanyang Li, Shuo Liang, Michael R. Lyu, LiWei Wang

Recent advancements in long-context modeling have enhanced language models (LMs) for complex tasks across multiple NLP applications.

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

1 code implementation • 28 Nov 2022 • Shuo Liang, Wei Wei, Xian-Ling Mao, Yuanyuan Fu, Rui Fang, Dangyang Chen

Hence, we propose a novel approach, Span TAgging and Greedy infErence (STAGE), to extract sentiment triplets in span-level, where each span may consist of multiple words and play different roles simultaneously.

Aspect Sentiment Triplet Extraction Sentence +2

BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis

1 code implementation • Findings (ACL) 2022 • Shuo Liang, Wei Wei, Xian-Ling Mao, Fei Wang, Zhiyong He

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity inference.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2