(no subject)

[am]

10 Exciting Ideas of
2018 in NLP. E.g.

G. Lample, et al. (2018)
"Unsupervised Machine
Translation Using Mono-
lingual Corpora Only."
G. Lample, et al. (2018)
"Phrase-Based & Neural
Unsupervised Machine
Translation."

M. Artetxe, et al. (2018)
"Unsupervised Neural
Machine Translation."
M. Artetxe, et al. (2018)
"Unsupervised Statistical
Machine Translation."
M. Artetxe, et al. (2018)
"A robust self-learning
method for fully unsuper-
vised cross-lingual map-
pings of word embeddings."

Visual Commonsense
Reasoning (VCR).
R. Zellers, et al. (2018)
"From Recognition to Cognition:
Visual Commonsense Reasoning."

J. Gu, et al. (2018)
"Meta-Learning for
Low-Resource Neural
Machine Translation."

S. Ruder, B. Plank (2018)
"Strong Baselines for Neural
Semi-Supervised Learning
under Domain Shift."

H.M. Alonso, B. Plank
(2017) "When is multitask
learning effective?
Semantic sequence pre-
diction under varying
data conditions."

A. Søgaard, et al. (2018)
"On the Limitations of
Unsupervised Bilingual
Dictionary Induction."

M. Joshi, et al. (2018)
"pair2vec: Compositional
Word-Pair Embeddings for
Cross-Sentence Inference."

S. Swayamdipta, et al. (2018)
"Syntactic Scaffolds for
Semantic Structures."

K. Clark, et al. (2018)
"Semi-Supervised Sequence
Modeling with Cross-View
Training."

T. Kociský, et al. (2018)
"The NarrativeQA Reading
Comprehension Challenge."

M. Barrett, et al. (2018)
"Sequence classification
with human attention."

See also previous post.