research
∙
08/04/2023
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction
Script Event Prediction (SEP) aims to predict the subsequent event for a...
share
research
∙
08/03/2023
Wider and Deeper LLM Networks are Fairer LLM Evaluators
Measuring the quality of responses generated by LLMs is a challenging ta...
research
∙
04/20/2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning
Recently developed graph contrastive learning (GCL) approaches compare t...
research
∙
04/08/2023
Contrastive Cross-Domain Sequential Recommendation
Cross-Domain Sequential Recommendation (CDSR) aims to predict future int...
research
∙
04/05/2023
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck
This paper studies the multimodal named entity recognition (MNER) and mu...
research
∙
01/27/2023
Event Causality Extraction with Event Argument Correlations
Event Causality Identification (ECI), which aims to detect whether a cau...
research
∙
11/29/2022
Towards Generalized Open Information Extraction
Open Information Extraction (OpenIE) facilitates the open-domain discove...
research
∙
07/14/2022
Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration
Building document-grounded dialogue systems have received growing intere...
research
∙
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...
research
∙
02/07/2022
Document-Level Event Extraction via Human-Like Reading Process
Document-level Event Extraction (DEE) is particularly tricky due to the ...
research
∙
10/09/2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
Distantly supervised named entity recognition (DS-NER) efficiently reduc...
research
∙
07/08/2021
Deep Structural Point Process for Learning Temporal Interaction Networks
This work investigates the problem of learning temporal interaction netw...
research
∙
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...
research
∙
06/01/2021
Discontinuous Named Entity Recognition as Maximal Clique Discovery
Named entity recognition (NER) remains challenging when entity mentions ...
research
∙
12/10/2020
Bipartite Graph Embedding via Mutual Information Maximization
Bipartite graph embedding has recently attracted much attention due to t...
research
∙
12/04/2020
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
Event Detection, a fundamental task of Information Extraction, tends to ...
research
∙
12/03/2020
Label Enhanced Event Detection with Heterogeneous Graph Attention Networks
Event Detection (ED) aims to recognize instances of specified types of e...
research
∙
10/26/2020
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
Extracting entities and relations from unstructured text has attracted i...
research
∙
10/19/2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
Few-shot Knowledge Graph (KG) completion is a focus of current research,...
research
∙
10/16/2020
Coarse-to-Fine Pre-training for Named Entity Recognition
More recently, Named Entity Recognition hasachieved great advances aided...
research
∙
06/23/2020
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering
Few-shot classification tends to struggle when it needs to adapt to dive...
research
∙
02/25/2020
Event Detection with Relation-Aware Graph Convolutional Neural Networks
Event detection (ED), a key subtask of information extraction, aims to r...
research
∙
11/07/2019