---
title: "Jordan Boyd-Graber — papers of 2019 — Elamur Research"
description: "Jordan Boyd-Graber — papers of 2019: 2 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/jordan-boyd-graber/year/2019/"
---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jordan Boyd-Graber](https://md.research.elamur.ai/free/en/authors/jordan-boyd-graber/) / 2019

# Jordan Boyd-Graber — papers of 2019 — Elamur Research

2 papers · [all years of Jordan Boyd-Graber](https://md.research.elamur.ai/free/en/authors/jordan-boyd-graber/#years)

**[Can You Unpack That? Learning to Rewrite Questions-in-Context](https://md.research.elamur.ai/free/en/papers/elgohary-2019-can-you-unpack-that-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber*2019 · 245 citations*

**[Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering](https://md.research.elamur.ai/free/en/papers/wallace-2019-trick-me-if-you-can/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Eric Wallace, Pedro Rodriguez, Shi Feng, et al.*2019 · 182 citations*
