activity
20202025
most citedGraph Neural Networks for Text Classification: A Survey

70 citations · 357 across the 62 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

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.SI2023★ 23 cited

Social network modeling and applications, a tutorial

Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…

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…

cs.CL2023★ 70 cited

Graph Neural Networks for Text Classification: A Survey

Kunze Wang, Yihao Ding, Soyeon Caren Han

Text Classification is the most essential and fundamental problem in Natural Language Processing. While numerous recent text classification models applied the sequential deep learn…

cs.CV2023★ 2 cited

PDFVQA: A New Dataset for Real-World VQA on PDF Documents

Yihao Ding, Siwen Luo, Hyunsuk Chung +1

Document-based Visual Question Answering examines the document understanding of document images in conditions of natural language questions. We proposed a new document-based VQA da…

cs.IR2023

Form-NLU: Dataset for the Form Natural Language Understanding

Yihao Ding, Siqu Long, Jiabin Huang +4

Compared to general document analysis tasks, form document structure understanding and retrieval are challenging. Form documents are typically made by two types of authors; A form…

cs.CL2023★ 5 cited

StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series

Jean Lee, Hoyoul Luis Youn, Josiah Poon +1

There has been growing interest in applying NLP techniques in the financial domain, however, resources are extremely limited. This paper introduces StockEmotions, a new dataset for…