---
title: "Dan Jurafsky — papers of 2015 — 3 papers, the most cited first"
description: "Dan Jurafsky — papers of 2015: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/dan-jurafsky/year/2015/"
---
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# Dan Jurafsky — papers of 2015 — 3 papers, the most cited first

3 papers · [all years of Dan Jurafsky](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/#years)

**[Do Multi-Sense Embeddings Improve Natural Language Understanding?](https://md.research.elamur.ai/free/en/papers/li-2015-do-multi-sense-embeddings-improve/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Dan Jurafsky*2015 · 304 citations*

- [A Hierarchical Neural Autoencoder for Paragraphs and Documents arXiv:1506.01057](https://md.research.elamur.ai/free/en/papers/li-2015-hierarchical-neural-autoencoder-paragraphs-documents/) — Jiwei Li, Minh-Thang Luong, Dan Jurafsky · 2015 · 287 citations

**[When Are Tree Structures Necessary for Deep Learning of Representations?](https://md.research.elamur.ai/free/en/papers/li-2015-when-are-tree-structures-necessary/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Thang Luong, Dan Jurafsky, et al.*2015 · 267 citations*
