---
title: "Phil Blunsom — papers of 2018 — 3 papers, the most cited first"
description: "Phil Blunsom — papers of 2018: 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/phil-blunsom/year/2018/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/phil-blunsom/year/2018/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Phil Blunsom](https://md.research.elamur.ai/free/en/authors/phil-blunsom/) / 2018

# Phil Blunsom — papers of 2018 — 3 papers, the most cited first

3 papers · [all years of Phil Blunsom](https://md.research.elamur.ai/free/en/authors/phil-blunsom/#years)

- [The NarrativeQA Reading Comprehension Challenge](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/) — Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al. · English · 1,042 citations
- [e-SNLI: Natural Language Inference with Natural Language Explanations arXiv:1812.01193](https://md.research.elamur.ai/free/en/papers/camburu-2018-e-snli-natural-language-inference/) — Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al. · 2018 · 622 citations

**[LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better](https://md.research.elamur.ai/free/en/papers/kuncoro-2018-lstms-can-learn-syntax-sensitive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adhiguna Kuncoro, Chris Dyer, John Hale, et al.*2018 · 208 citations*