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07/31/2023
Workshop on Document Intelligence Understanding
Document understanding and information extraction include different task...
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05/28/2023
Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets
Natural language understanding typically maps single utterances to a dua...
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02/08/2023
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Session-based recommendation (SBR) problem, which focuses on next-item p...
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01/23/2023
StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series
There has been growing interest in applying NLP techniques in the financ...
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12/21/2022
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction
When a human communicates with a machine using natural language on the w...
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12/16/2022
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering
Most TextVQA approaches focus on the integration of objects, scene texts...
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11/09/2022
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation
Scene Graph Generation (SGG) serves a comprehensive representation of th...
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09/09/2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation
Collaborative filtering problems are commonly solved based on matrix com...
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08/22/2022
Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis
Recognizing the layout of unstructured digital documents is crucial when...
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08/17/2022
Understanding Attention for Vision-and-Language Tasks
Attention mechanism has been used as an important component across Visio...
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06/17/2022
A Quantitative and Qualitative Analysis of Suicide Ideation Detection using Deep Learning
For preventing youth suicide, social media platforms have received much ...
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06/01/2022
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification
Text classification aims to assign labels to textual units by making use...
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05/08/2022
RoViST:Learning Robust Metrics for Visual Storytelling
Visual storytelling (VST) is the task of generating a story paragraph th...
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04/10/2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification
Compared to sequential learning models, graph-based neural networks exhi...
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03/30/2022
Understanding Graph Convolutional Networks for Text Classification
Graph Convolutional Networks (GCN) have been effective at tasks that hav...
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02/26/2022
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling
Intent classification and slot filling are two critical tasks for natura...
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08/27/2021
GLocal-K: Global and Local Kernels for Recommender Systems
Recommender systems typically operate on high-dimensional sparse user-it...
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06/11/2021
FedNLP: An interpretable NLP System to Decode Federal Reserve Communications
The Federal Reserve System (the Fed) plays a significant role in affecti...
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06/11/2021
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection
Traditional toxicity detection models have focused on the single utteran...
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03/20/2021
Local Interpretations for Explainable Natural Language Processing: A Survey
As the use of deep learning techniques has grown across various fields o...
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02/20/2021
Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images
Automatic table detection in PDF documents has achieved a great success ...
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01/16/2021
A Survey on Extraction of Causal Relations from Natural Language Text
As an essential component of human cognition, cause-effect relations app...
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10/08/2020
Detect All Abuse! Toward Universal Abusive Language Detection Models
Online abusive language detection (ALD) has become a societal issue of i...
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10/07/2020
VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks
Text-to-image multimodal tasks, generating/retrieving an image from a gi...
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07/27/2020
REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering
Visual question answering (VQA) is a challenging multi-modal task that r...
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07/03/2019
AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data
In medical real-world study (RWS), how to fully utilize the fragmentary ...
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04/09/2019
Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data
One way to extract patterns from clinical records is to consider each pa...
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12/19/2018