Del i serien Socio-Affective Computing

Time Expression and Named Entity Recognition

Häftad, Engelska, 2022

AvXiaoshi Zhong,Erik Cambria

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This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text.

Produktinformation

Utgivningsdatum2022-08-25
Mått155 x 235 x 7 mm
Vikt189 g
FormatHäftad
SpråkEngelska
SerieSocio-Affective Computing
Antal sidor96
FörlagSpringer Nature Switzerland AG
ISBN9783030789633

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Artificiell intelligens inom Data och IT

Xiaoshi Zhong received his bachelor degree in computer science from Beihang University (BUAA), China, and his doctoral degree in computer science from Nanyang Technological University (NTU), Singapore. After a short period as a research fellow in NTU, he will join Beijing Institute of Technology (BIT), China, as an Assistant Professor in the School of Computer Science and Technology. His research interests mainly include data analytics, computational linguistics, and natural language processing.Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at NTU, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia and HP Labs India and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. Erik is recipient of many awards, e.g., the 2018 AI's 10 to Watch and the 2019 IEEE Outstanding Early Career award, and is often featured in the news, e.g., Forbes. He is Associate Editor of several journals, e.g., NEUCOM, INFFUS, KBS, IEEE CIM and IEEE Intelligent Systems (where he manages the Department of Affective Computing and Sentiment Analysis), and is involved in many international conferences as PC member, program chair, and speaker.