activity
20172025
most citedMISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation

60 citations · 161 across the 33 of their papers we have counts for

collaborators
Showing cs.CLShow all

8 papers · 1 filter

cs.CL2023

An Anchor Learning Approach for Citation Field Learning

Zilin Yuan, Borun Chen, Yimeng Dai +3

Citation field learning is to segment a citation string into fields of interest such as author, title, and venue. Extracting such fields from citations is crucial for citation inde…

cs.CL2023

MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities

Yangning Li, Tingwei Lu, Yinghui Li +5

The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new entities belonging to the same semantic class. Conventional ESE methods are based on mono-mod…

cs.CL2023

XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations

Yusen Zhang, Jun Wang, Zhiguo Wang +1

Cross-Lingual Semantic Parsing (CLSP) aims to translate queries in multiple natural languages (NLs) into meaning representations (MRs) such as SQL, lambda calculus, and logic forms…

cs.CL2023

W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition

Mingchen Li, Yang Ye, Jeremy Yeung +3

Contrastive learning has become a popular solution for few-shot Name Entity Recognization (NER). The conventional configuration strives to reduce the distance between tokens with t…

cs.CL2023

Benchmarking large language models for biomedical natural language processing applications and recommendations

Qingyu Chen, Yan Hu, Xueqing Peng +18

The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While…

cs.CL20221 cited

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs

Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya +3

The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity. Many machine learning-bas…