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Data for "SuperSim: a test set for word similarity and relatedness in Swedish" ...
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Data for "SuperSim: a test set for word similarity and relatedness in Swedish" ...
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Challenges for computational lexical semantic change ...
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Abstract:
The computational study of lexical semantic change (LSC) has taken off in the past few years and we are seeing increasing interest in the field, from both computational sciences and linguistics. Most of the research so far has focused on methods for modelling and detecting semantic change using large diachronic textual data, with the majority of the approaches employing neural embeddings. While methods that offer easy modelling of diachronic text are one of the main reasons for the spiking interest in LSC, neural models leave many aspects of the problem unsolved. The field has several open and complex challenges. In this chapter, we aim to describe the most important of these challenges and outline future directions. ...
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URL: https://zenodo.org/record/5040321 https://dx.doi.org/10.5281/zenodo.5040321
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Computational approaches to lexical semantic change: Visualization systems and novel applications ...
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Survey of computational approaches to lexical semantic change detection ...
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Survey of computational approaches to lexical semantic change detection ...
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A list of Swedish words that have experienced historical semantic changes ...
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A list of Swedish words that have experienced historical semantic changes ...
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Computational approaches to lexical semantic change: Visualization systems and novel applications ...
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