Short-Term Meaning Shift: A Distributional Exploration
| Authors |
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| Publication date | 2019 |
| Host editors |
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| Book title | The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
| Book subtitle | NAACL HLT 2019 : proceedings of the conference : June 2-June 7, 2019 |
| ISBN (electronic) |
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| Event | 2019 Conference of the North American Chapter of the Association for Computational Linguistics |
| Volume | Issue number | 1 |
| Pages (from-to) | 2069-2075 |
| Publisher | Stroudsburg, PA: The Association for Computational Linguistics |
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| Abstract | We present the first exploration of meaning shift over short periods of time in online communities using distributional representations. We create a small annotated dataset and use it to assess the performance of a standard model for meaning shift detection on short-term meaning shift. We find that the model has problems distinguishing meaning shift from referential phenomena, and propose a measure of contextual variability to remedy this. |
| Document type | Conference contribution |
| Language | English |
| Related dataset | Short-Term Meaning Shift: A Distributional Exploration |
| Published at | https://doi.org/10.18653/v1/N19-1210 |
| Other links | https://vimeo.com/354246126 |
| Downloads |
N19-1210
(Final published version)
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