AI Chat AI Image Generator AI Video Text to Speech

Global alignment for relation extraction in Microbiology

11/25/2021
∙
by   Anfu Tang, et al.
∙
0
∙

We investigate a method to extract relations from texts based on global alignment and syntactic information. Combined with SVM, this method is shown to have a performance comparable or even better than LSTM on two RE tasks.

READ FULL TEXT

Related Research

research
∙ 08/29/2022

Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest

Medical Relation Extraction (MRE) task aims to extract relations between...
0 Yifan Jin, et al. ∙
research
∙ 05/10/2016

Grammatical Case Based IS-A Relation Extraction with Boosting for Polish

Pattern-based methods of IS-A relation extraction rely heavily on so cal...
0 Paweł Łoziński, et al. ∙
research
∙ 10/26/2020

Relation Extraction for Monitoring Economic Networks

Relation extraction from texts is a research topic since the message und...
0 Katharina Morik, et al. ∙
research
∙ 11/14/2022

On Analyzing the Role of Image for Visual-enhanced Relation Extraction

Multimodal relation extraction is an essential task for knowledge graph ...
0 Lei Li, et al. ∙
research
∙ 12/04/2019

Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts

State-of-the-art methods for relation extraction consider the sentential...
0 Qiongxing Tao, et al. ∙
research
∙ 03/06/2019

Sentence Embedding Alignment for Lifelong Relation Extraction

Conventional approaches to relation extraction usually require a fixed s...
0 Hong Wang, et al. ∙
research
∙ 05/05/2022

FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework

Recent work for extracting relations from texts has achieved excellent p...
0 Guozheng Li, et al. ∙

Please sign up or login with your details

Forgot password? Click here to reset

Out of credits

Refill your membership to continue using DeepAI

Stripe
Paypal