Low-resource extraction with knowledge-aware pairwise prototype learning
Abstract Knowledge Extraction (KE) aims at extracting structured information from raw texts,
such as relation extraction and event extraction. One of the major issues for KE is the low …
such as relation extraction and event extraction. One of the major issues for KE is the low …
Genealogical relationship extraction from unstructured text using fine-tuned transformer models
C Parrolivelli, L Stanchev - 2023 IEEE 17th International …, 2023 - ieeexplore.ieee.org
The paper tackles the task of extracting genealogical relationships, such as" sibling-of","
parent-of"," child-of", and" spouse-of", from unstructured, free-form text. In order to solve the …
parent-of"," child-of", and" spouse-of", from unstructured, free-form text. In order to solve the …
[PDF][PDF] Semantic Web Applications: Current Trends in Datasets, Tools and Technologies' Development for Linked Open Data.
SC Necula - Informatica Economica, 2020 - researchgate.net
We report a survey on the actual state of the art about semantic web and its applications.
Semantic Web plays a major role in integrating data, especially open data, publicly available …
Semantic Web plays a major role in integrating data, especially open data, publicly available …
1 Semantic web technologies: architecture, application, trends, and challenges
Semantic web (SW) and cloud innovation frameworks have been basic parts in making and
sending applications in different fields. In spite of the fact that they are independent, they can …
sending applications in different fields. In spite of the fact that they are independent, they can …