1 code implementation • 4 Feb 2024 • Jean Lee, Nicholas Stevens, Soyeon Caren Han, Minseok Song
This survey provides a comprehensive overview of FinLLMs, including their history, techniques, performance, and opportunities and challenges.
no code implementations • 1 Feb 2024 • Eileen Wang, Soyeon Caren Han, Josiah Poon
This weighted story graph produces the storyline in a sequence of events using Floyd-Warshall's algorithm.
no code implementations • 24 Oct 2023 • 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 with real-world prediction problems.
1 code implementation • 12 Aug 2023 • Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic
Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives.
no code implementations • 31 Jul 2023 • Soyeon Caren Han, Yihao Ding, Siwen Luo, Josiah Poon, HeeGuen Yoon, Zhe Huang, Paul Duuring, Eun Jung Holden
Document understanding and information extraction include different tasks to understand a document and extract valuable information automatically.
1 code implementation • 28 May 2023 • Henry Weld, Sijia Hu, Siqu Long, Josiah Poon, Soyeon Caren Han
We present a novel tri-level joint natural language understanding approach, adding domain, and explicitly exchange semantic information between all levels.
no code implementations • 23 Apr 2023 • Kunze Wang, Yihao Ding, Soyeon Caren Han
Text Classification is the most essential and fundamental problem in Natural Language Processing.
no code implementations • 13 Apr 2023 • Yihao Ding, Siwen Luo, Hyunsuk Chung, Soyeon Caren Han
Document-based Visual Question Answering examines the document understanding of document images in conditions of natural language questions.
1 code implementation • 4 Apr 2023 • Yihao Ding, Siqu Long, Jiabin Huang, Kaixuan Ren, Xingxiang Luo, Hyunsuk Chung, Soyeon Caren Han
Compared to general document analysis tasks, form document structure understanding and retrieval are challenging.
1 code implementation • 23 Jan 2023 • Jean Lee, Hoyoul Luis Youn, Josiah Poon, Soyeon Caren Han
There has been growing interest in applying NLP techniques in the financial domain, however, resources are extremely limited.
Emotion Classification Multivariate Time Series Forecasting +2
no code implementations • 21 Dec 2022 • Soyeon Caren Han, Siqu Long, Henry Weld, Josiah Poon
This tutorial will discuss how the joint task is set up and introduce Spoken Language Understanding/Natural Language Understanding (SLU/NLU) with Deep Learning techniques.
no code implementations • 29 Nov 2022 • Zhihao Zhang, Siwen Luo, Junyi Chen, Sijia Lai, Siqu Long, Hyunsuk Chung, Soyeon Caren Han
We propose a PiggyBack, a Visual Question Answering platform that allows users to apply the state-of-the-art visual-language pretrained models easily.
no code implementations • 11 Nov 2022 • Yuanzhe Jia, Weixuan Wu, Feiqi Cao, Soyeon Caren Han
In-game toxic language becomes the hot potato in the gaming industry and community.
no code implementations • 9 Nov 2022 • Anh Duc Bui, Soyeon Caren Han, Josiah Poon
Scene Graph Generation (SGG) serves a comprehensive representation of the images for human understanding as well as visual understanding tasks.
no code implementations • 9 Sep 2022 • Taejun Lim, Siqu Long, Josiah Poon, Soyeon Caren Han
Collaborative filtering problems are commonly solved based on matrix completion techniques which recover the missing values of user-item interaction matrices.
1 code implementation • COLING 2022 • Jean Lee, Taejun Lim, Heejun Lee, Bogeun Jo, Yangsok Kim, HeeGeun Yoon, Soyeon Caren Han
Online hate speech detection has become an important issue due to the growth of online content, but resources in languages other than English are extremely limited.
1 code implementation • COLING 2022 • Siwen Luo, Yihao Ding, Siqu Long, Josiah Poon, Soyeon Caren Han
Recognizing the layout of unstructured digital documents is crucial when parsing the documents into the structured, machine-readable format for downstream applications.
1 code implementation • COLING 2022 • Feiqi Cao, Soyeon Caren Han, Siqu Long, Changwei Xu, Josiah Poon
Attention mechanism has been used as an important component across Vision-and-Language(VL) tasks in order to bridge the semantic gap between visual and textual features.
no code implementations • 17 Jun 2022 • Siqu Long, Rina Cabral, Josiah Poon, Soyeon Caren Han
For preventing youth suicide, social media platforms have received much attention from researchers.
1 code implementation • 1 Jun 2022 • Kunze Wang, Soyeon Caren Han, Josiah Poon
Under the extreme settings with no extra resource and limited amount of training set, can we still learn an inductive graph-based text classification model?
no code implementations • 27 May 2022 • Yihao Ding, Zhe Huang, Runlin Wang, Yanhang Zhang, Xianru Chen, Yuzhong Ma, Hyunsuk Chung, Soyeon Caren Han
We propose V-Doc, a question-answering tool using document images and PDF, mainly for researchers and general non-deep learning experts looking to generate, process, and understand the document visual question answering tasks.
no code implementations • 15 Apr 2022 • Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang
Pretrained models have produced great success in both Computer Vision (CV) and Natural Language Processing (NLP).
1 code implementation • 10 Apr 2022 • Kunze Wang, Soyeon Caren Han, Siqu Long, Josiah Poon
Our ME-GCN can integrate a rich source of graph edge information of the entire text corpus.
1 code implementation • 30 Mar 2022 • Soyeon Caren Han, Zihan Yuan, Kunze Wang, Siqu Long, Josiah Poon
Graph Convolutional Networks (GCN) have been effective at tasks that have rich relational structure and can preserve global structure information of a dataset in graph embeddings.
no code implementations • 26 Feb 2022 • Soyeon Caren Han, Siqu Long, Huichun Li, Henry Weld, Josiah Poon
In this paper, we propose a bi-directional joint model for intent classification and slot filling, which includes a multi-stage hierarchical process via BERT and bi-directional joint natural language understanding mechanisms, including intent2slot and slot2intent, to obtain mutual performance enhancement between intent classification and slot filling.
no code implementations • CVPR 2022 • Yihao Ding, Zhe Huang, Runlin Wang, Yanhang Zhang, Xianru Chen, Yuzhong Ma, Hyunsuk Chung, Soyeon Caren Han
We propose V-Doc, a question-answering tool using document images and PDF, mainly for researchers and general non-deep learning experts looking to generate, process, and understand the document visual question answering tasks.
3 code implementations • 27 Aug 2021 • Soyeon Caren Han, Taejun Lim, Siqu Long, Bernd Burgstaller, Josiah Poon
Then, the pre-trained auto encoder is fine-tuned with the rating matrix, produced by a convolution-based global kernel, which captures the characteristics of each item.
Ranked #1 on Recommendation Systems on Douban Monti
no code implementations • Findings (ACL) 2021 • Henry Weld, Guanghao Huang, Jean Lee, Tongshu Zhang, Kunze Wang, Xinghong Guo, Siqu Long, Josiah Poon, Soyeon Caren Han
Accompanying the dataset is a thorough in-game toxicity analysis, which provides comprehensive understanding of context at utterance, token, and dual levels.
1 code implementation • 11 Jun 2021 • Jean Lee, Hoyoul Luis Youn, Nicholas Stevens, Josiah Poon, Soyeon Caren Han
The Federal Reserve System (the Fed) plays a significant role in affecting monetary policy and financial conditions worldwide.
no code implementations • 16 Jan 2021 • Jie Yang, Soyeon Caren Han, Josiah Poon
Existing causality extraction techniques include knowledge-based, statistical machine learning(ML)-based, and deep learning-based approaches.
1 code implementation • COLING 2020 • Kunze Wang, Dong Lu, Soyeon Caren Han, Siqu Long, Josiah Poon
Online abusive language detection (ALD) has become a societal issue of increasing importance in recent years.
1 code implementation • 7 Oct 2020 • Soyeon Caren Han, Siqu Long, Siwen Luo, Kunze Wang, Josiah Poon
We propose a new visual contextual text representation for text-to-image multimodal tasks, VICTR, which captures rich visual semantic information of objects from the text input.
Ranked #24 on Text-to-Image Generation on MS COCO (Inception score metric)
1 code implementation • 27 Jul 2020 • Siwen Luo, Soyeon Caren Han, Kaiyuan Sun, Josiah Poon
Visual question answering (VQA) is a challenging multi-modal task that requires not only the semantic understanding of both images and questions, but also the sound perception of a step-by-step reasoning process that would lead to the correct answer.