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08/04/2023
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction
Script Event Prediction (SEP) aims to predict the subsequent event for a...
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04/08/2023
Contrastive Cross-Domain Sequential Recommendation
Cross-Domain Sequential Recommendation (CDSR) aims to predict future int...
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04/05/2023
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck
This paper studies the multimodal named entity recognition (MNER) and mu...
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04/04/2023
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment
The multi-modal entity alignment (MMEA) aims to find all equivalent enti...
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01/27/2023
Event Causality Extraction with Event Argument Correlations
Event Causality Identification (ECI), which aims to detect whether a cau...
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11/15/2022
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Event detection in power systems aims to identify triggers and event typ...
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03/31/2022
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
Recommender systems have been widely deployed in many real-world applica...
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10/09/2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
Distantly supervised named entity recognition (DS-NER) efficiently reduc...
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08/23/2021
Event Extraction by Associating Event Types and Argument Roles
Event extraction (EE), which acquires structural event knowledge from te...
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07/05/2021
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends
Schema-based event extraction is a critical technique to apprehend the e...
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07/04/2021
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
Event extraction (EE) is a crucial information extraction task that aims...
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10/19/2020
