Is information extraction solved by chatgpt? an analysis of performance, evaluation criteria, robustness and errors
ChatGPT has stimulated the research boom in the field of large language models. In this
paper, we assess the capabilities of ChatGPT from four perspectives including Performance …
paper, we assess the capabilities of ChatGPT from four perspectives including Performance …
Document-level relation extraction with relation correlations
Document-level relation extraction faces two often overlooked challenges: long-tail problem
and multi-label problem. Previous work focuses mainly on obtaining better contextual …
and multi-label problem. Previous work focuses mainly on obtaining better contextual …
[HTML][HTML] Supervised relation extraction between suicide-related entities and drugs: development and usability study of an annotated PubMed corpus
Background Drug-induced suicide has been debated as a crucial issue in both clinical and
public health research. Published research articles contain valuable data on the drugs …
public health research. Published research articles contain valuable data on the drugs …
An Empirical Study on Information Extraction using Large Language Models
Human-like large language models (LLMs), especially the most powerful and popular ones
in OpenAI's GPT family, have proven to be very helpful for many natural language …
in OpenAI's GPT family, have proven to be very helpful for many natural language …
Distantly Supervised Relation Extraction Based on Residual Attention and Self Learning
Z Zheng, Y Xu, Y Liu, X Zhang, L Li, D Li - Neural Processing Letters, 2024 - Springer
Relation extraction is an important task in information extraction, which aims to identify the
relation between two given entities. The algorithm based on distant supervision can …
relation between two given entities. The algorithm based on distant supervision can …
A Method for Extracting Power Entity Relationships Based on Hybrid Neural Networks
X Liu, S Ruan, Y He, X Zhang, Q Chen - Scalable Computing: Practice and …, 2024 - scpe.org
In response to the challenges of entity relationship extraction in unstructured text, the author
proposes a power entity relationship extraction method based on a hybrid neural network …
proposes a power entity relationship extraction method based on a hybrid neural network …
[PDF][PDF] Hierarchical constrained attention for distantly supervised relation extraction
B Liu, G Qi, Y Zhang - 2023 - ijckg2023.knowledge-graph.jp
Relation extraction (RE) aims to extract relation facts between two given entities from
unstructured text, which plays an important role in many natural language processing …
unstructured text, which plays an important role in many natural language processing …