research
∙
05/05/2023
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna
Large Language Models (LLMs, e.g., ChatGPT) have shown impressive zero- ...
share
research
∙
03/09/2023
Dynamic Multi-View Fusion Mechanism For Chinese Relation Extraction
Recently, many studies incorporate external knowledge into character-lev...
research
∙
10/23/2022
Span-based joint entity and relation extraction augmented with sequence tagging mechanism
Span-based joint extraction simultaneously conducts named entity recogni...
research
∙
08/18/2022
A Two-Phase Paradigm for Joint Entity-Relation Extraction
An exhaustive study has been conducted to investigate span-based models ...
research
∙
08/17/2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search
Textual adversarial attacks expose the vulnerabilities of text classifie...
research
∙
08/17/2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
Few-shot named entity recognition (NER) enables us to build a NER system...
research
∙
07/11/2022
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder
Text summarization models are often trained to produce summaries that me...
research
∙
07/11/2022
Topic-Grained Text Representation-based Model for Document Retrieval
Document retrieval enables users to find their required documents accura...
research
∙
07/07/2022
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition
For Named Entity Recognition (NER), sequence labeling-based and span-bas...
research
∙
05/21/2021
Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism
Span-based joint extraction simultaneously conducts named entity recogni...
research
∙
12/18/2020
TDN: Temporal Difference Networks for Efficient Action Recognition
Temporal modeling still remains challenging for action recognition in vi...
research
∙
04/03/2020