Multiword Expressions

By Timothy Baldwin, Su Nam Kim. Handbook of Natural Language Processing, 2010

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Automated Phrase Mining from Massive Text Corpora (2017, background): “The natural language processing (NLP) community has conducted extensive studies typically referred to as automatic term recognition [3], [13], [31], [36], [38], for the computational task of extracting terms (such as technical phrases).”
A Corpus and Model Integrating Multiword Expressions and Supersenses (2015, background): “We argue that the semantically holistic nature of multiword expressions (MWEs) including idioms, light verb constructions, verb-particle constructions, and many compounds (Baldwin and Kim, 2010) means that they should be considered as units for manual and automatic supersense tagging.”
A Natural Proof System for Natural Language (2017, background): “The works that describe these challenges include (Sag et al., 2001), (Baldwin et al., 2009) and (Baldwin and Kim, 2010).”
Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus (2011, background): “Furthermore, since verb-particle pairs often have non-compositional semantics (Sag et al., 2002), misanalyzing these constructions could be costly to downstream components.”
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding (2022, background): “, syntactic, semantic) differs from that of generic word combinations (Baldwin and Kim, 2010; Ramisch and Villavicencio, 2018).”