Papers by Daqian Shi

3 papers
A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction (2022.emnlp-main)

Copied to clipboard

Challenge: Existing work on argument mining uses context-based methods to identify whether two arguments are interactively related.
Approach: They propose a contrastive learning framework to extract valuable information from the context.
Outcome: The proposed framework achieves state-of-the-art performance on the benchmark dataset and visually displays more compact representations.
ZiNet: Linking Chinese Characters Spanning Three Thousand Years (2022.findings-acl)

Copied to clipboard

Challenge: tens of thousands of ancient characters must be deciphered by experts to interpret unearthed documents.
Approach: They propose a diachronic Chinese knowledge base to help researchers discover glyph similar characters by measuring glyph similarities between ancient Chinese characters.
Outcome: The proposed method shows strong correlations between the scores obtained from the method and from human experts.
ACSE: An Ancient Character Semantic-Aware Embedding for Large Language Models (2026.findings-acl)

Copied to clipboard

Challenge: Existing studies on pre-Qin documents are insufficient to understand ancient characters . ancient characters have a low level of digitization and training corpora are extremely scarce .
Approach: They propose a semantic-aware embedding for ancient Chinese characters that integrates glyphs and lexicality into modern Chinese semantic space.
Outcome: The proposed model integrates glyph and lexicality of ancient characters and maps them to the modern Chinese semantic space.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations