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06/22/2023
Identifying and Extracting Rare Disease Phenotypes with Large Language Models
Rare diseases (RDs) are collectively common and affect 300 million peopl...
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04/16/2023
USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery
New intent discovery is of great value to natural language processing, a...
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03/29/2023
Zero-shot Clinical Entity Recognition using ChatGPT
In this study, we investigated the potential of ChatGPT, a large languag...
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12/04/2022
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO)
Social determinants of health (SDoH) have a significant impact on health...
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11/24/2022
Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis
Improving model robustness against potential modality noise, as an essen...
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11/18/2022
Adaptive Constraint Partition based Optimization Framework for Large-scale Integer Linear Programming(Student Abstract)
Integer programming problems (IPs) are challenging to be solved efficien...
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11/12/2022
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences
Inter-modal interaction plays an indispensable role in multimodal sentim...
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09/09/2022
MIntRec: A New Dataset for Multimodal Intent Recognition
Multimodal intent recognition is a significant task for understanding hu...
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08/22/2022
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module
Multimodal sentiment analysis (MSA), which supposes to improve text-base...
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08/10/2022
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
Continual Machine Reading Comprehension aims to incrementally learn from...
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03/23/2022
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It...
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03/11/2022
Towards Open Intent Detection
The open intent detection problem is presented in this paper, which aims...
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03/05/2022
Consistent Representation Learning for Continual Relation Extraction
Continual relation extraction (CRE) aims to continuously train a model o...
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08/04/2021
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles
Our objective in this study is to investigate the behavior of Boolean op...
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02/09/2021
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Representation Learning is a significant and challenging task in multimo...
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12/18/2020
Deep Open Intent Classification with Adaptive Decision Boundary
Open intent classification is a challenging task in dialogue system. On ...
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12/16/2020
Discovering New Intents with Deep Aligned Clustering
Discovering new intents is a crucial task in a dialogue system. Most exi...
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04/13/2020
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction
Background: Identifying relationships between clinical events and tempor...
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03/07/2020
A Post-processing Method for Detecting Unknown Intent of Dialogue System via Pre-trained Deep Neural Network Classifier
With the maturity and popularity of dialogue systems, detecting user's u...
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11/20/2019
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
Identifying new user intents is an essential task in the dialogue system...
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08/09/2019
BERT-based Ranking for Biomedical Entity Normalization
Developing high-performance entity normalization algorithms that can all...
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06/02/2019
Deep Unknown Intent Detection with Margin Loss
Identifying the unknown (novel) user intents that have never appeared in...
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02/22/2019
Enhancing Clinical Concept Extraction with Contextual Embedding
Neural network-based representations ("embeddings") have dramatically ad...
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11/20/2018
