新增1万条英语习语情感数据，助力自然语言处理与心理研究
Breaking Bad: Norms for Valence, Arousal, and Dominance for over 10k English Multiword Expressions
- 基于人类评分构建10,000条多词表达的情感三维度数据
- 覆盖2.5万个词，包含大量2018年后流行的新词
- 适用于情感分析、心理学、数字人文等跨领域研究
已有研究表明，词语意义的核心维度为效价（Valence, V）、唤醒度（Arousal, A）和支配度（Dominance, D）。现有词典如2018年发布的NRC VAD词典仅涵盖单词。本文推出其补充版本：新版本NRC VAD Lexicon v2，包含10,000个英语多词表达（MWEs）及其构成词的VAD评分。同时扩大了单字词覆盖范围，尤其收录了2018年后更常见的词汇。新版词典共含10,000条MWE和25,000个词。我们验证了评分的高度可靠性，并利用该词典研究了多词表达的情感特征，包括：1. 多词表达（习语、名词复合词、动词+副词结构）的情绪强度；2. 情绪可组合性程度。该词典可广泛用于自然语言处理、心理学、公共卫生、数字人文与社会科学等领域。NRC VAD Lexicon v2已通过项目网页免费提供：http://saifmohammad.com/WebPages/nrc-vad.html
原文摘要 · Abstract (English)
Factor analysis studies have shown that the primary dimensions of word meaning are Valence (V), Arousal (A), and Dominance (D). Existing lexicons such as the NRC VAD Lexicon, published in 2018, include VAD association ratings for words. Here, we present a complement to it, which has human ratings of valence, arousal, and dominance for 10k English Multiword Expressions (MWEs) and their constituent words. We also increase the coverage of unigrams, especially words that have become more common since 2018. In all, the new NRC VAD Lexicon v2 now has entries for 10k MWEs and 25k words, in addition to the entries in v1. We show that the associations are highly reliable. We use the lexicon to examine emotional characteristics of MWEs, including: 1. The degree to which MWEs (idioms, noun compounds, and verb particle constructions) exhibit strong emotionality; 2. The degree of emotional compositionality in MWEs. The lexicon enables a wide variety of research in NLP, Psychology, Public Health, Digital Humanities, and Social Sciences. The NRC VAD Lexicon v2 is freely available through the project webpage: http://saifmohammad.com/WebPages/nrc-vad.html
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