Text preprocessing for text mining in organizational research: Review and recommendations
Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …
voluminous natural language text data created by organizations, their employees, and their …
Multiword expression processing: A survey
Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word
boundaries that are both idiosyncratic and pervasive across different languages. The …
boundaries that are both idiosyncratic and pervasive across different languages. The …
Still a pain in the neck: Evaluating text representations on lexical composition
Building meaningful phrase representations is challenging because phrase meanings are
not simply the sum of their constituent meanings. Lexical composition can shift the meanings …
not simply the sum of their constituent meanings. Lexical composition can shift the meanings …
Idiomatic expression identification using semantic compatibility
Idiomatic expressions are an integral part of natural language and constantly being added to
a language. Owing to their non-compositionality and their ability to take on a figurative or …
a language. Owing to their non-compositionality and their ability to take on a figurative or …
Unsupervised compositionality prediction of nominal compounds
Nominal compounds such as red wine and nut case display a continuum of compositionality,
with varying contributions from the components of the compound to its semantics. This article …
with varying contributions from the components of the compound to its semantics. This article …
Mark my word: A sequence-to-sequence approach to definition modeling
Defining words in a textual context is a useful task both for practical purposes and for
gaining insight into distributed word representations. Building on the distributional …
gaining insight into distributed word representations. Building on the distributional …
Getting BART to ride the idiomatic train: Learning to represent idiomatic expressions
Idiomatic expressions (IEs), characterized by their non-compositionality, are an important
part of natural language. They have been a classical challenge to NLP, including pre-trained …
part of natural language. They have been a classical challenge to NLP, including pre-trained …
Leveraging contextual embeddings and idiom principle for detecting idiomaticity in potentially idiomatic expressions
R Hashempour, A Villavicencio - … of the Workshop on the Cognitive …, 2020 - aclanthology.org
The majority of studies on detecting idiomatic expressions have focused on discovering
potentially idiomatic expressions overlooking the context. However, many idioms like blow …
potentially idiomatic expressions overlooking the context. However, many idioms like blow …
Multiword expressions: between lexicography and NLP
The paper aims to establish a synergy between the lexicographic and natural language
processing (NLP) communities in relation to concepts and classifications of multiword …
processing (NLP) communities in relation to concepts and classifications of multiword …
Idiomatic expression paraphrasing without strong supervision
Idiomatic expressions (IEs) play an essential role in natural language. In this paper, we
study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a …
study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a …