Exploring the Landscape of Natural Language Processing Research

Tim Schopf, Karim Arabi, F. Matthes
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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.
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探索自然语言处理研究的前景
作为一种理解、生成和处理自然语言文本的有效方法,自然语言处理(NLP)研究近年来得到了迅速推广和广泛应用。鉴于该领域的研究工作日益增多,研究界已对几种与 NLP 相关的方法进行了调查。然而,目前仍缺乏一项全面的研究,对已确立的主题进行分类、确定趋势并勾勒出未来研究的领域。为了填补这一空白,我们对《ACL 文选》中的研究论文进行了系统的分类和分析。因此,我们对研究领域进行了结构化概述,对 NLP 的研究领域进行了分类,分析了 NLP 的最新发展,总结了我们的发现,并强调了未来的工作方向。
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