Unnatural Language Processing: Bridging the Gap Between Synthetic and
Natural Language Data

Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data

28 April 2020

Michael Cafarella

Papers citing "Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data"

7 / 7 papers shown

Title
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data Ching-Yun Ko Pin-Yu Chen Jeet Mohapatra Payel Das Lucani E. Daniel 19 3 0 06 Oct 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models Tianbao Xie Chen Henry Wu Peng Shi Ruiqi Zhong Torsten Scholak ... Lingpeng Kong Rui Zhang Noah A. Smith Luke Zettlemoyer Tao Yu LMTD 26 296 0 16 Jan 2022
LILA: Language-Informed Latent Actions Siddharth Karamcheti Megha Srivastava Percy Liang Dorsa Sadigh LM&Ro 16 31 0 05 Nov 2021
On The Ingredients of an Effective Zero-shot Semantic Parser Pengcheng Yin John Wieting Avirup Sil Graham Neubig 42 15 0 15 Oct 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning Maxwell Nye Michael Henry Tessler J. Tenenbaum Brenden Lake 29 117 0 06 Jul 2021
Grounding Spatio-Temporal Language with Transformers Tristan Karch Laetitia Teodorescu Katja Hofmann Clément Moulin-Frier Pierre-Yves Oudeyer LM&Ro 8 11 0 16 Jun 2021
Generate, Annotate, and Learn: NLP with Synthetic Text Xuanli He Islam Nassar J. Kiros Gholamreza Haffari Mohammad Norouzi 26 51 0 11 Jun 2021