Named entity recognition and relation extraction: State-of-the-art
With the advent of Web 2.0, there exist many online platforms that result in massive textual-
data production. With ever-increasing textual data at hand, it is of immense importance to …
data production. With ever-increasing textual data at hand, it is of immense importance to …
Attention-based BiGRU-CNN for Chinese question classification
J Liu, Y Yang, S Lv, J Wang, H Chen - Journal of Ambient Intelligence and …, 2019 - Springer
Chinese question classification is one of the essential tasks in nature language processing
(NLP) for Chinese language due to its distinctive characteristics. Methods presented in the …
(NLP) for Chinese language due to its distinctive characteristics. Methods presented in the …
Multi-level semantic representation enhancement network for relationship extraction
Discovering the relationship between two entities in a sentence is one of the most important
tasks in natural language processing. Due to the superior feature learning capacity, deep …
tasks in natural language processing. Due to the superior feature learning capacity, deep …
Towards knowledge enhanced language model for machine reading comprehension
Machine reading comprehension is a crucial and challenging task in natural language
processing (NLP). Recently, knowledge graph (KG) embedding has gained massive …
processing (NLP). Recently, knowledge graph (KG) embedding has gained massive …
Deep learning-based reasoning with multi-ontology for IoT applications
In the era of mobile big data, data driven intelligent Internet of Things (IoT) applications are
becoming widespread, and knowledge-based reasoning is one of the essential tasks of …
becoming widespread, and knowledge-based reasoning is one of the essential tasks of …
Towards semantic sensor data: an ontology approach
J Liu, Y Li, X Tian, AK Sangaiah, J Wang - Sensors, 2019 - mdpi.com
In order to optimize intelligent applications driven by various sensors, it is vital to properly
interpret and reuse sensor data from different domains. The construction of semantic maps …
interpret and reuse sensor data from different domains. The construction of semantic maps …
Multi-layer transformer aggregation encoder for answer generation
S Shang, J Liu, Y Yang - IEEE Access, 2020 - ieeexplore.ieee.org
Answer generation is one of the most important tasks in natural language processing, and
deep learning-based methods have shown their strength over traditional machine learning …
deep learning-based methods have shown their strength over traditional machine learning …
Discovery of topic evolution path and semantic relationship based on patent entity representation
J Zhang, Y Liu, L Jiang, J Shi - Aslib Journal of Information …, 2023 - emerald.com
Purpose This paper aims to propose a method for better discovering topic evolution path
and semantic relationship from the perspective of patent entity extraction and semantic …
and semantic relationship from the perspective of patent entity extraction and semantic …
A new multi-scale convolutional model based on multiple attention for image classification
Y Yang, C Xu, F Dong, X Wang - Applied Sciences, 2019 - mdpi.com
Computer vision systems are insensitive to the scale of objects in natural scenes, so it is
important to study the multi-scale representation of features. Res2Net implements …
important to study the multi-scale representation of features. Res2Net implements …
A Novel Hybrid Approach for Detecting Abnormal Vessel Behavior in Maritime Traffic
J Li, J Liu, X Zhang, X Li, J Wang… - 2023 7th International …, 2023 - ieeexplore.ieee.org
The Abnormal Behavior Detection of Vessels (ABVD) is crucial for enhancing Vessels'
situational awareness as well as achieving effective management of maritime traffic …
situational awareness as well as achieving effective management of maritime traffic …