---
title: "Who cites Word Sense Induction for Novel Sense Detection"
description: "70 papers of the Elamur Research library cite «Word Sense Induction for Novel Sense Detection», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/lau-2012-word-sense-induction-novel-sense/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Word Sense Induction for Novel Sense Detection](https://md.research.elamur.ai/free/en/papers/lau-2012-word-sense-induction-novel-sense/) / cited by

# Who cites «Word Sense Induction for Novel Sense Detection»

70 papers of our library cite it (of the 140,884 whose bibliographies we read) · 4 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/lau-2012-word-sense-induction-novel-sense/)

1. [**Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 1,270 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-diachronic-word-embeddings-reveal-statistical/)
2. [**Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality**Jey Han Lau, David Newman, Timothy Baldwin*2014 · 699 citations*](https://md.research.elamur.ai/free/en/papers/lau-2014-machine-reading-tea-leaves-automatically/)
3. [**Analysing Lexical Semantic Change with Contextualised Word Representations**Mario Giulianelli, Marco Del Tredici, Raquel Fernández*2020 · 239 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2020-analysing-lexical-semantic-change-contextualised/)
4. [**Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change**Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann*2018 · 158 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2018-diachronic-usage-relatedness-durel-framework/)

66 more papers of our library cite it; they have no page here yet.

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