1 citations · 1 across the 8 of their papers we have counts for
8 papers
XISM: an eXploratory and Interactive Graph Tool to Visualize and Evaluate Semantic Map Models
Zhu Liu, Zhen Hu, Lei Dai +2
Semantic map models visualize systematic relations among semantic functions through graph structures and are widely used in linguistic typology. However, existing construction meth…
GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
Kangyang Luo, Yuzhuo Bai, Cheng Gao +11
Knowledge Graph Completion (KGC), which aims to infer missing or incomplete facts, is a crucial task for KGs. However, integrating the vital structural information of KGs into Larg…
From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs
Zhu Liu, Ying Liu, KangYang Luo +2
Lexico-semantic networks represent words as nodes and their semantic relatedness as edges. While such networks are traditionally constructed using embeddings from encoder-based mod…
JuniperLiu at CoMeDi Shared Task: Models as Annotators in Lexical Semantics Disagreements
Zhu Liu, Zhen Hu, Ying Liu
We present the results of our system for the CoMeDi Shared Task, which predicts majority votes (Subtask 1) and annotator disagreements (Subtask 2). Our approach combines model ense…
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Crosslinguistic Case Study of Supplementary Adverbs
Zhu Liu, Cunliang Kong, Ying Liu +1
Semantic map models (SMMs) construct a network-like conceptual space from cross-linguistic instances or forms, based on the connectivity hypothesis. This approach has been widely u…
Document-Level Event Extraction with Definition-Driven ICL
Zhuoyuan Liu, Yilin Luo
In the field of Natural Language Processing (NLP), Large Language Models (LLMs) have shown great potential in document-level event extraction tasks, but existing methods face chall…
Evaluating Distributed Representations for Multi-Level Lexical Semantics: A Research Proposal
Zhu Liu
Modern neural networks (NNs), trained on extensive raw sentence data, construct distributed representations by compressing individual words into dense, continuous, high-dimensional…
Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics
Zhu Liu, Cunliang Kong, Ying Liu +1
Large language models have achieved remarkable success in general language understanding tasks. However, as a family of generative methods with the objective of next token predicti…