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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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04/04/2023
Form-NLU: Dataset for the Form Language Understanding
Compared to general document analysis tasks, form document structure und...
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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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11/29/2022
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals
We propose a PiggyBack, a Visual Question Answering platform that allows...
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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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04/15/2022
Vision-and-Language Pretrained Models: A Survey
Pretrained models have produced great success in both Computer Vision (C...
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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
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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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
