Ralf Krestel

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LWDA 20

Sense Tree: Discovery of New Word Senses with Graph-based Scoring

Abstract

Language is dynamic and constantly evolving: both the us-age context and the meaning of words change over time. Identifying words that acquired new meanings and the point in time at which new word senses emerged is elementary for word sense disambiguation and entity linking in historical texts. For example, cloud once stood mostly for the weather phenomenon and only recently gained the new sense of cloud computing. We propose a clustering-based approach that computes sense trees, showing how meanings of words change over time. The produced results are easy to interpret and explain using a drill-down mechanism. We evaluate our approach qualitatively on the Corpus of Historic American English (COHA), which spans two hundred years.

Full Paper

LWDA20.pdf

Workshop Homepage

LWDA 2020

BibTex Entry

@inproceedings{krestel-lwda20, author = {Ehmueller, Jan and Kohlmeyer, Lasse and McKee, Holly and Paeschke, Daniel and Repke, Tim and Krestel, Ralf and Naumann, Felix}, booktitle = {Proceedings of the Conference on Lernen, Wissen, Daten, Analysen (LWDA)}, pages = {1--12}, title = {Sense Tree: Discovery of New Word Senses with Graph-based Scoring}, year = 2020 }