Year: 2023
Type: conference-paper
Abstract: As an efficient approach to understand, generate, and process natural language texts, research in natural language processing (NLP) has exhibited a rapid spread and wide adoption in recent years.Given the increasing research work in this area, several NLP-related approaches have been surveyed in the research community.However, a comprehensive study that categorizes established topics, identifies trends, and outlines areas for future research remains absent.Contributing to closing this gap, we have systematically classified and analyzed research papers in the ACL Anthology.As a result, we present a structured overview of the research landscape, provide a taxonomy of fields of study in NLP, analyze recent developments in NLP, summarize our findings, and highlight directions for future work. 1
Authors: Tim Schopf, Karim Arabi, Florian Matthes
Institution: Technical University of Munich
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4385002643