activity
20122026
most citedCharacter-Aware Neural Language Models

1k citations · 2.1k across the 41 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019★ 9 cited

Improving Conditioning in Context-Aware Sequence to Sequence Models

Xinyi Wang, Jason Weston, Michael Auli +1

Neural sequence to sequence models are well established for applications which can be cast as mapping a single input sequence into a single output sequence. In this work, we focus…

cs.CL2019★ 3 cited

Unsupervised Text Summarization via Mixed Model Back-Translation

Yacine Jernite

Back-translation based approaches have recently lead to significant progress in unsupervised sequence-to-sequence tasks such as machine translation or style transfer. In this work,…

cs.AI2019★ 10 cited

Why Build an Assistant in Minecraft?

Arthur Szlam, Jonathan Gray, Kavya Srinet +11

In this document we describe a rationale for a research program aimed at building an open "assistant" in the game Minecraft, in order to make progress on the problems of natural la…

cs.CL2019★ 14 cited

ELI5: Long Form Question Answering

Angela Fan, Yacine Jernite, Ethan Perez +3

We introduce the first large-scale corpus for long-form question answering, a task requiring elaborate and in-depth answers to open-ended questions. The dataset comprises 270K thre…

cs.AI2019★ 18 cited

CraftAssist: A Framework for Dialogue-enabled Interactive Agents

Jonathan Gray, Kavya Srinet, Yacine Jernite +6

This paper describes an implementation of a bot assistant in Minecraft, and the tools and platform allowing players to interact with the bot and to record those interactions. The p…

cs.CL2019★ 7 cited

CraftAssist Instruction Parsing: Semantic Parsing for a Minecraft Assistant

Yacine Jernite, Kavya Srinet, Jonathan Gray +1

We propose a large scale semantic parsing dataset focused on instruction-driven communication with an agent in Minecraft. We describe the data collection process which yields addit…