A state-of-the-art of semantic change computation
X Tang - Natural Language Engineering, 2018 - cambridge.org
This paper reviews the state-of-the-art of one emergent field in computational linguistics—
semantic change computation. It summarizes the literature by proposing a framework that …
semantic change computation. It summarizes the literature by proposing a framework that …
Time-aware language models as temporal knowledge bases
Many facts come with an expiration date, from the name of the President to the basketball
team Lebron James plays for. However, most language models (LMs) are trained on …
team Lebron James plays for. However, most language models (LMs) are trained on …
Diachronic word embeddings reveal statistical laws of semantic change
Understanding how words change their meanings over time is key to models of language
and cultural evolution, but historical data on meaning is scarce, making theories hard to …
and cultural evolution, but historical data on meaning is scarce, making theories hard to …
Diachronic word embeddings and semantic shifts: a survey
Recent years have witnessed a surge of publications aimed at tracing temporal changes in
lexical semantics using distributional methods, particularly prediction-based word …
lexical semantics using distributional methods, particularly prediction-based word …
Statistically significant detection of linguistic change
We propose a new computational approach for tracking and detecting statistically significant
linguistic shifts in the meaning and usage of words. Such linguistic shifts are especially …
linguistic shifts in the meaning and usage of words. Such linguistic shifts are especially …
Dynamic word embeddings for evolving semantic discovery
Word evolution refers to the changing meanings and associations of words throughout time,
as a byproduct of human language evolution. By studying word evolution, we can infer …
as a byproduct of human language evolution. By studying word evolution, we can infer …
[HTML][HTML] Cultural shift or linguistic drift? comparing two computational measures of semantic change
Abstract Words shift in meaning for many reasons, including cultural factors like new
technologies and regular linguistic processes like subjectification. Understanding the …
technologies and regular linguistic processes like subjectification. Understanding the …
Temporal analysis of language through neural language models
We provide a method for automatically detecting change in language across time through a
chronologically trained neural language model. We train the model on the Google Books …
chronologically trained neural language model. We train the model on the Google Books …
Dynamic embeddings for language evolution
Word embeddings are a powerful approach for unsupervised analysis of language.
Recently, Rudolph et al. developed exponential family embeddings, which cast word …
Recently, Rudolph et al. developed exponential family embeddings, which cast word …
Outta control: Laws of semantic change and inherent biases in word representation models
H Dubossarsky, D Weinshall… - Proceedings of the 2017 …, 2017 - aclanthology.org
This article evaluates three proposed laws of semantic change. Our claim is that in order to
validate a putative law of semantic change, the effect should be observed in the genuine …
validate a putative law of semantic change, the effect should be observed in the genuine …