During the recent era of big data, a huge volume of unstructured data are being produced in
various forms of audio, video, images, text, and animation. Effective use of these …

Natural language processing (NLP) is crucial in the current processing of data because it
takes into account many sources, formats, and purposes of data as well as information from …

In today's digital world, there is an increasing focus on soft skills. On the one hand, they
facilitate innovation at companies, but on the other, they are unlikely to be automated soon …

Geological reports aid in understanding exploration by providing valuable information on
rock formation, evolution and the geological environment in which deposits formed …

Named entity recognition (NER) is a key component of many scientific literature mining
tasks, such as information retrieval, information extraction, and question answering; …

Identifying technology convergence is getting harder, especially in fast-evolving and cross-
technological fields. On the other side, natural language processing and network analysis …

The process of extracting relevant technical information from patents or technical literature is
as valuable as it is challenging. It deals with highly relevant information extraction from a …

Many e-services are time-sensitive as the users request them for a specific time period. Such
services need to be repeatedly offered to keep them constantly utilized. This paper studies …

With the continuous advancement of information technology in the agricultural field, a large
amount of unstructured agricultural textual information has been generated. This information …

According to one embodiment, a semi-supervised data integration model for named entity
classification from a first repository of entity information in view of an auxiliary repository of …