Verb Classification Across Languages

IF 3 1区文学 0 LANGUAGE & LINGUISTICS

Annual Review of Linguistics Pub Date : 2022-10-21 DOI:10.1146/annurev-linguistics-030521-043632

Olga Majewska, A. Korhonen

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引用次数: 0

Abstract

Recent developments in language modeling have enabled large text encoders to derive a wealth of linguistic information from raw text corpora without supervision. Their success across natural language processing (NLP) tasks has called into question the role of man-made computational resources, such as verb lexicons, in supporting modern NLP. Still, probing analyses have concurrently exposed the limitations of the knowledge possessed by the large neural architectures, revealing them to be clever task solvers rather than self-taught linguists. Can human-designed lexical resources still help fill their knowledge gaps? Focusing on verb classification, we discuss approaches to generating verb classes multilingually and weigh the relative benefits of undertaking expensive lexicographic work and outsourcing the task to untrained native speakers. Then, we consider the evidence for the utility of augmenting pretrained language models with external verb knowledge and ponder the ways in which human expertise can continue to benefit multilingual NLP. Expected final online publication date for the Annual Review of Linguistics, Volume 9 is January 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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跨语言动词分类

语言建模的最新发展使大型文本编码器能够在没有监督的情况下从原始文本语料库中获得丰富的语言信息。它们在自然语言处理(NLP)任务上的成功引发了对人工计算资源(如动词词汇)在支持现代NLP方面的作用的质疑。然而，探索性分析同时暴露了大型神经结构所拥有的知识的局限性，表明它们是聪明的任务解决者，而不是自学成才的语言学家。人为设计的词汇资源还能帮助他们填补知识空白吗?关注动词分类，我们讨论了多语言生成动词类的方法，并权衡了承担昂贵的词典编纂工作和将任务外包给未经训练的母语人士的相对好处。然后，我们考虑了使用外部动词知识增强预训练语言模型的效用的证据，并思考了人类专业知识继续受益于多语言NLP的方式。预计《语言学年度评论》第9卷的最终在线出版日期为2023年1月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annual Review of Linguistics Multiple-

CiteScore

7.20

自引率

6.20%

发文量

期刊介绍： The Annual Review of Linguistics, in publication since 2015, covers significant developments in the field of linguistics, including phonetics, phonology, morphology, syntax, semantics, pragmatics, and their interfaces. Reviews synthesize advances in linguistic theory, sociolinguistics, psycholinguistics, neurolinguistics, language change, biology and evolution of language, typology, as well as applications of linguistics in many domains.