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Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text

Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text

13 November 2019
Ian Porada
Kaheer Suleman
Jackie C.K. Cheung
ArXiv (abs)PDFHTML

Papers citing "Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text"

13 / 13 papers shown
Title
Incidental Supervision: Moving beyond Supervised Learning
Incidental Supervision: Moving beyond Supervised Learning
Dan Roth
67
46
0
25 May 2020
Do Neural Language Representations Learn Physical Commonsense?
Do Neural Language Representations Learn Physical Commonsense?
Maxwell Forbes
Ari Holtzman
Yejin Choi
NAILRMAI4CE
58
110
0
08 Aug 2019
SP-10K: A Large-scale Evaluation Set for Selectional Preference
  Acquisition
SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition
Hongming Zhang
Hantian Ding
Yangqiu Song
66
25
0
14 May 2019
Universal Dependency Parsing from Scratch
Universal Dependency Parsing from Scratch
Peng Qi
Timothy Dozat
Yuhao Zhang
Christopher D. Manning
88
270
0
29 Jan 2019
Know What You Don't Know: Unanswerable Questions for SQuAD
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALMELM
292
2,857
0
11 Jun 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
254
580
0
02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
1.1K
7,201
0
20 Apr 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
168
1,180
0
06 Mar 2018
Are distributional representations ready for the real world? Evaluating
  word vectors for grounded perceptual meaning
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning
L. Lucy
Jon Gauthier
NAI
71
62
0
31 May 2017
Ordinal Common-sense Inference
Ordinal Common-sense Inference
Sheng Zhang
Rachel Rudinger
Kevin Duh
Benjamin Van Durme
LRM
84
121
0
02 Nov 2016
Neural Net Models for Open-Domain Discourse Coherence
Neural Net Models for Open-Domain Discourse Coherence
Jiwei Li
Dan Jurafsky
99
123
0
05 Jun 2016
A Corpus and Evaluation Framework for Deeper Understanding of
  Commonsense Stories
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories
N. Mostafazadeh
Nathanael Chambers
Xiaodong He
Devi Parikh
Dhruv Batra
Lucy Vanderwende
Pushmeet Kohli
James F. Allen
144
713
0
06 Apr 2016
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
113
2,365
0
19 Nov 2015
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