16 citations · 28 across the 9 of their papers we have counts for
9 papers
Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models
Zizheng Lin, Chunkit Chan, Yangqiu Song +1
Theory-of-Mind (ToM) ability possessed by Large Language Models (LLMs) has been shown to be limited. Most existing methods for improving ToM in LLMs adopt zero-shot prompting, and…
Towards Subgraph Isomorphism Counting with Graph Kernels
Xin Liu, Weiqi Wang, Jiaxin Bai +1
Subgraph isomorphism counting is known as #P-complete and requires exponential time to find the accurate solution. Utilizing representation learning has been shown as a promising d…
DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition
Chunkit Chan, Xin Liu, Jiayang Cheng +4
Implicit Discourse Relation Recognition (IDRR) is a sophisticated and challenging task to recognize the discourse relations between the arguments with the absence of discourse conn…
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
Xin Liu, Yangqiu Song
Graph neural networks (GNNs) and message passing neural networks (MPNNs) have been proven to be expressive for subgraph structures in many applications. Some applications in hetero…
Exploring Discourse Structures for Argument Impact Classification
Xin Liu, Jiefu Ou, Yangqiu Song +1
Discourse relations among arguments reveal logical structures of a debate conversation. However, no prior work has explicitly studied how the sequence of discourse relations influe…
ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities
Hongming Zhang, Xin Liu, Haojie Pan +4
Commonsense knowledge acquisition and reasoning have long been a core artificial intelligence problem. However, in the past, there has been a lack of scalable methods to collect co…
A Variational Approach to Unsupervised Sentiment Analysis
Ziqian Zeng, Wenxuan Zhou, Xin Liu +4
In this paper, we propose a variational approach to unsupervised sentiment analysis. Instead of using ground truth provided by domain experts, we use target-opinion word pairs as a…
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
Xin Liu, Jiefu Ou, Yangqiu Song +1
Implicit discourse relation classification is one of the most difficult parts in shallow discourse parsing as the relation prediction without explicit connectives requires the lang…
ASER: A Large-scale Eventuality Knowledge Graph
Hongming Zhang, Xin Liu, Haojie Pan +2
Understanding human's language requires complex world knowledge. However, existing large-scale knowledge graphs mainly focus on knowledge about entities while ignoring knowledge ab…