Word Sense Induction for Novel Sense Detection

By Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, Timothy Baldwin. 2012

156 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

Citations in the corpus

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change (2016, background): “…Wijaya and Yeniterzi, 2011; Gulordava and Baroni, 2011; Jatowt and Duh, 2014; Kulkarni et al., 2014; Xu and Kemp, 2015), as well as recent work on detecting the emergence of novel word senses (Lau et al., 2012; Mitra et al., 2014; Cook et al., 2014; Mitra et al., 2015; Frermann and Lapata, 2016).”
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality (2014, methodology): “…means of preprocessing a document collection, and the topics and per-document topic allocations are fed into downstream applications such as document summarisation (Haghighi and Vanderwende, 2009), novel word sense detection methods (Lau et al., 2012b) and machine translation (Zhao and Xing, 2007).”
Analysing Lexical Semantic Change with Contextualised Word Representations (2020, methodology): “Several Bayesian models of sense change have been proposed (Wijaya and Yeniterzi, 2011; Lau et al., 2012, 2014; Cook et al., 2014).”
A Bayesian Model of Diachronic Meaning Change (2016, methodology): “Our approach is conceptually similar to Lau et al. (2012).”
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change (2019, background): “…(Kim et al., 2014; Basile et al., 2016; Kulka-rni et al., 2015; Hamilton et al., 2016b); graph-based models (Tahmasebi and Risse, 2017a; Mitra et al., 2014, 2015); and ﬁnally topic-based (Lau et al., 2012; Wang et al., 2015; Frermann and La-pata, 2016; Hengchen, 2017; Perrone et al., 2019).”
Novel Word-sense Identification (2014, methodology): “This baseline has not been previously considered by Lau et al. (2012) or Cook et al. (2013).”