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EMNLP
Member since:
2020-12-20
Last seen:
2020-12-20
User details
Name:
Conference on Empirical Methods in Natural Language Processing
Affiliation:
Association for Computational Linguistics
Website:
https://2020.emnlp.org/
About me:
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) invites the submission of long and short papers on substantial, original, and unpublished research in empirical methods for Natural Language Processing.
Papertalks of EMNLP
16/11/2020
Analyzing Individual Neurons in Pre-trained Language Models
Nadir Durrani
,
Hassan Sajjad
,
Fahim Dalvi
,
Yonatan Belinkov
Keywords
Abstract
Paper
neuron-level analysis
,
linguistic tasks
,
deep models
,
pre-trained models
13:36
16/11/2020
XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques
Rexhina Blloshmi
,
Rocco Tripodi
,
Roberto Navigli
Keywords
Abstract
Paper
encoding semantics
,
cross-lingual parsing
,
english parsing
,
amr
11:20
16/11/2020
oLMpics - On what Language Model Pre-training Captures
Alon Talmor
,
Yanai Elazar
,
Yoav Goldberg
,
Jonathan Berant
Keywords
Abstract
Paper
symbolic tasks
,
reasoning tasks
,
zero-shot evaluation
,
pre-training
10:01
16/11/2020
Data Weighted Training Strategies for Grammatical Error Correction
Jared Lichtarge
,
Chris Alberti
,
Shankar Kumar
Keywords
Abstract
Paper
neural nmt
,
neural
,
example scoring
,
gec
10:22
16/11/2020
Visually Grounded Compound PCFGs
Yanpeng Zhao
,
Ivan Titov
Keywords
Abstract
Paper
exploiting groundings
,
language understanding
,
gradient estimates
,
fully-differentiable learning
12:24
16/11/2020
Few-Shot Learning for Opinion Summarization
Arthur Bražinskas
,
Mirella Lapata
,
Ivan Titov
Keywords
Abstract
Paper
opinion summarization
,
automatic text
,
summary production
,
summarization mode
11:48
16/11/2020
Blank Language Models
Tianxiao Shen
,
Victor Quach
,
Regina Barzilay
,
Tommi Jaakkola
Keywords
Abstract
Paper
text tasks
,
filling snippets
,
style transfer
,
damaged restoration
12:47
16/11/2020
The Return of Lexical Dependencies: Neural Lexicalized PCFGs
Hao Zhu
,
Yonatan Bisk
,
Graham Neubig
Keywords
Abstract
Paper
grammar induction
,
unsupervised induction
,
context methods
,
syntactic formalisms
11:37
16/11/2020
Inducing Target-Specific Latent Structures for Aspect Sentiment Classification
Chenhua Chen
,
Zhiyang Teng
,
Yue Zhang
Keywords
Abstract
Paper
aspect-level analysis
,
graph networks
,
induced graphs
,
gating mechanisms
11:42
16/11/2020
Zero-Shot Cross-Lingual Transfer with Meta Learning
Farhad Nooralahzadeh
,
Giannis Bekoulis
,
Johannes Bjerva
,
Isabelle Augenstein
Keywords
Abstract
Paper
strategic knowledge
,
downstream task
,
multilingual applications
,
natural tasks
11:42
16/11/2020
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding
Yu-An Wang
,
Yun-Nung Chen
Keywords
Abstract
Paper
nlp tasks
,
transformers
,
position transformers
,
iconic tasks
10:13
16/11/2020
Causal Inference of Script Knowledge
Noah Weber
,
Rachel Rudinger
,
Benjamin Van Durme
Keywords
Abstract
Paper
script induction
,
correlation-based approach
,
causal events
,
interventions
12:00
16/11/2020
Probing Pretrained Language Models for Lexical Semantics
Ivan Vulić
,
Edoardo Maria Ponti
,
Robert Litschko
and
Goran Glavaš
,
Anna Korhonen
Keywords
Abstract
Paper
lexical tasks
,
pretrained models
,
lms
,
lexical strategies
12:17
16/11/2020
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin
,
Barlas Oguz
,
Sewon Min
and
Patrick Lewis
,
Ledell Wu
,
Sergey Edunov
,
Danqi Chen
,
Wen-tau Yih
Keywords
Abstract
Paper
open-domain answering
,
passage retrieval
,
retrieval
,
sparse models
12:37
16/11/2020
Semantic Drift in Multilingual Representations
Lisa Beinborn
,
Rochelle Choenni
Keywords
Abstract
Paper
multilingual representations
,
computational representations
,
representational analysis
,
analysis method
12:44
16/11/2020
Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing
Piotr Szymański
,
Kyle Gorman
Keywords
Abstract
Paper
natural models
,
bayesian technique
,
k-fold cross-validation
,
english taggers
7:42
16/11/2020
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
Nicola De Cao
,
Michael Sejr Schlichtkrull
,
Wilker Aziz
,
Ivan Titov
Keywords
Abstract
Paper
model prediction
,
approximate search
,
erasure
,
sentiment classification
11:22
16/11/2020
Simultaneous Machine Translation with Visual Context
Ozan Caglayan
,
Julia Ive
,
Veneta Haralampieva
and
Pranava Madhyastha
,
Loïc Barrault
,
Lucia Specia
Keywords
Abstract
Paper
simt
,
multimodal approaches
,
simt frameworks
,
visually-grounded models
12:34
16/11/2020
Improving Word Sense Disambiguation with Translations
Yixing Luan
,
Bradley Hauer
,
Lili Mou
,
Grzegorz Kondrak
Keywords
Abstract
Paper
monolingual disambiguation
,
monolingual wsd
,
english wsd
,
wsd systems
11:40
16/11/2020
COMET: A Neural Framework for MT Evaluation
Ricardo Rei
,
Craig Stewart
,
Ana C Farinha
,
Alon Lavie
Keywords
Abstract
Paper
cross-lingual modeling
,
wmt task
,
high-performing systems
,
comet
13:00
16/11/2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng
,
Kyunghyun Cho
,
Marzyeh Ghassemi
Keywords
Abstract
Paper
data augmentation
,
ood generalization
,
robustness benchmarks
,
ssmba
10:26
16/11/2020
Surprisal Predicts Code-Switching in Chinese-English Bilingual Text
Jesús Calvillo
,
Le Fang
,
Jeremy Cole
,
David Reitter
Keywords
Abstract
Paper
code-switching
,
inhibition language
,
computational model
,
surprisal
11:29
16/11/2020
Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2
Yosi Mass
,
Haggai Roitman
Keywords
Abstract
Paper
ad-hoc retrieval
,
manually data
,
weakly-supervised method
,
deep models
8:03
16/11/2020
Measuring Information Propagation in Literary Social Networks
Matthew Sims
,
David Bamman
Keywords
Abstract
Paper
modeling propagation
,
information propagation
,
speaker attribution
,
structural holes
11:00
16/11/2020
Learning to Fuse Sentences with Transformers for Summarization
Logan Lebanoff
,
Franck Dernoncourt
,
Doo Soon Kim
and
Lidan Wang
,
Walter Chang
,
Fei Liu
Keywords
Abstract
Paper
sentence fusion
,
transformer
,
modeling correspondence
,
summarization systems
5:57
16/11/2020
Entities as Experts: Sparse Memory Access with Entity Supervision
Thibault Févry
,
Livio Baldini Soares
,
Nicholas FitzGerald
and
Eunsol Choi
,
Tom Kwiatkowski
Keywords
Abstract
Paper
capturing knowledge
,
eae
,
identification entities
,
language model
10:41
16/11/2020
Do sequence-to-sequence VAEs learn global features of sentences?
Tom Bosc
,
Pascal Vincent
Keywords
Abstract
Paper
generation
,
memorization
,
autoregressive models
,
variational autoencoder
12:00
16/11/2020
Adversarial Semantic Collisions
Congzheng Song
,
Alexander Rush
,
Vitaly Shmatikov
Keywords
Abstract
Paper
paraphrase identification
,
document retrieval
,
response suggestion
,
extractive summarizationtextemdash
11:25
16/11/2020
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets
Nedjma Ousidhoum
,
Yangqiu Song
,
Dit-Yan Yeung
Keywords
Abstract
Paper
classification
,
data process
,
topic models
,
selection bias
12:07
16/11/2020
Unsupervised Commonsense Question Answering with Self-Talk
Vered Shwartz
,
Peter West
,
Ronan Le Bras
and
Chandra Bhagavatula
,
Yejin Choi
Keywords
Abstract
Paper
natural understanding
,
multiple-choice tasks
,
commonsense reasoning
,
pre-trained models
12:43
16/11/2020
On the Sparsity of Neural Machine Translation Models
Yong Wang
,
Longyue Wang
,
Victor Li
,
Zhaopeng Tu
Keywords
Abstract
Paper
nmt architectures
,
over-parameterization
,
underutilization resources
,
redundant parameters
6:18
16/11/2020
Shallow-to-Deep Training for Neural Machine Translation
Bei Li
,
Ziyang Wang
,
Hui Liu
and
Yufan Jiang
,
Quan Du
,
Tong Xiao
,
Huizhen Wang
,
Jingbo Zhu
Keywords
Abstract
Paper
neural systems
,
wmt tasks
,
deep encoders
,
deep encoder
12:13
16/11/2020
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
Zehui Lin
,
Xiao Pan
,
Mingxuan Wang
and
Xipeng Qiu
,
Jiangtao Feng
,
Hao Zhou
,
Lei Li
Keywords
Abstract
Paper
machine mt
,
mt
,
rich mt
,
universal model
12:00
16/11/2020
BERT-ATTACK: Adversarial Attack Against BERT Using BERT
Linyang Li
,
Ruotian Ma
,
Qipeng Guo
and
Xiangyang Xue
,
Xipeng Qiu
Keywords
Abstract
Paper
adversarial attacks
,
downstream tasks
,
calculation
,
gradient-based methods
11:36
16/11/2020
ALICE: Active Learning with Contrastive Natural Language Explanations
Weixin Liang
,
James Zou
,
Zhou Yu
Keywords
Abstract
Paper
active learning
,
data learning
,
learning
,
visual tasks
10:26
16/11/2020
Beyond [CLS] through Ranking by Generation
Cicero Nogueira dos Santos
,
Xiaofei Ma
,
Ramesh Nallapati
and
Zhiheng Huang
,
Bing Xiang
Keywords
Abstract
Paper
information retrieval
,
ranking documents
,
ir tasks
,
discriminative functions
7:15
16/11/2020
Entity Linking in 100 Languages
Jan A. Botha
,
Zifei Shan
,
Daniel Gillick
Keywords
Abstract
Paper
multilingual linking
,
auxiliary task
,
cross-lingual task
,
zero- evaluation
11:48
16/11/2020
Re-evaluating Evaluation in Text Summarization
Manik Bhandari
,
Pranav Narayan Gour
,
Atabak Ashfaq
and
Pengfei Liu
,
Graham Neubig
Keywords
Abstract
Paper
manual evaluation
,
text-generation tasks
,
text summarization
,
top-scoring systems
11:52
16/11/2020
The importance of fillers for text representations of speech transcripts
Tanvi Dinkar
,
Pierre Colombo
,
Matthieu Labeau
,
Chloé Clavel
Keywords
Abstract
Paper
spoken tasks
,
modelling language
,
deep embeddings
,
fillers
6:37
16/11/2020
Grounded Compositional Outputs for Adaptive Language Modeling
Nikolaos Pappas
,
Phoebe Mulcaire
,
Noah A. Smith
Keywords
Abstract
Paper
language modeling
,
cross-domain settings
,
language models
,
finetuning
10:28
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