most citedSimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL20241 cited

Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset

Zhihao Zhang, Feiqi Cao, Yingbin Mo +3

The dynamic nature of esports makes the situation relatively complicated for average viewers. Esports broadcasting involves game expert casters, but the caster-dependent game comme…

cs.CV2024

SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling

Eileen Wang, Soyeon Caren Han, Josiah Poon

Visual storytelling aims to automatically generate a coherent story based on a given image sequence. Unlike tasks like image captioning, visual stories should contain factual descr…

cs.CL2023

Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion

Kunze Wang, Soyeon Caren Han, Josiah Poon

Temporal Knowledge Graph Completion (TKGC) under the extrapolation setting aims to predict the missing entity from a fact in the future, posing a challenge that aligns more closely…

cs.CL2023

MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction

Jie Yang, Soyeon Caren Han, Siqu Long +2

Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives. Most ADEs are reported via an u…

cs.IR2023

Workshop on Document Intelligence Understanding

Soyeon Caren Han, Yihao Ding, Siwen Luo +5

Document understanding and information extraction include different tasks to understand a document and extract valuable information automatically. Recently, there has been a rising…

cs.CL2023

Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets

Henry Weld, Sijia Hu, Siqu Long +2

Natural language understanding typically maps single utterances to a dual level semantic frame, sentence level intent and slot labels at the word level. The best performing models…