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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Natural Language Processing (EMNLP 2020) invites the submission of long and short papers on substantial, original, and unpublished research in empirical methods for Natural Language Processing.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
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
Lianhui Qin
,
Vered Shwartz
,
Peter West
and
Chandra Bhagavatula
,
Jena D. Hwang
,
Ronan Le Bras
,
Antoine Bosselut
,
Yejin Choi
Keywords
Abstract
Paper
nonmonotonic tasks
,
abductive generation
,
generation
,
counterfactual revision
11:58
16/11/2020
When BERT Plays the Lottery, All Tickets Are Winning
Sai Prasanna
,
Anna Rogers
,
Anna Rumshisky
Keywords
Abstract
Paper
fine-tuned
,
structured pruning
,
self-attention heads
,
self-attention layers
11:06
16/11/2020
Understanding the Difficulty of Training Transformers
Liyuan Liu
,
Xiaodong Liu
,
Jianfeng Gao
and
Weizhu Chen
,
Jiawei Han
Keywords
Abstract
Paper
nlp tasks
,
training
,
transformer training
,
transformers
10:49
16/11/2020
A Spectral Method for Unsupervised Multi-Document Summarization
Kexiang Wang
,
Baobao Chang
,
Zhifang Sui
Keywords
Abstract
Paper
multi-document summarization
,
mds task
,
combinatorial impact
,
multi-document mds
11:04
16/11/2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
,
Roy Schwartz
,
Nicholas Lourie
and
Yizhong Wang
,
Hannaneh Hajishirzi
,
Noah A. Smith
,
Yejin Choi
Keywords
Abstract
Paper
nlp research
,
out-of-distribution generalization
,
model optimization
,
data maps
12:03
16/11/2020
Active Learning for BERT: An Empirical Study
Liat Ein-Dor
,
Alon Halfon
,
Ariel Gera
and
Eyal Shnarch
,
Lena Dankin
,
Leshem Choshen
,
Marina Danilevsky
,
Ranit Aharonov
,
Yoav Katz
,
Noam Slonim
Keywords
Abstract
Paper
text classification
,
nlp tasks
,
bert-based classification
,
binary classification
10:53
16/11/2020
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna
,
John Wieting
,
Mohit Iyyer
Keywords
Abstract
Paper
style transfer
,
attribute transfer
,
unsupervised transfer
,
paraphrase problem
11:46
16/11/2020
More Bang for Your Buck: Natural Perturbation for Robust Question Answering
Daniel Khashabi
,
Tushar Khot
,
Ashish Sabharwal
Keywords
Abstract
Paper
linguistic tasks
,
deep models
,
boolq
,
boolq models
6:49
16/11/2020
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts
,
Colin Raffel
,
Noam Shazeer
Keywords
Abstract
Paper
fine-tuning models
,
neural models
,
open-domain systems
,
model size
7:31
16/11/2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
Chien-Sheng Wu
,
Steven C.H. Hoi
,
Richard Socher
,
Caiming Xiong
Keywords
Abstract
Paper
language modeling
,
pre-training
,
response task
,
task-oriented applications
13:42
16/11/2020
Detecting Attackable Sentences in Arguments
Yohan Jo
,
Seojin Bang
,
Emaad Manzoor
and
Eduard Hovy
,
Chris Reed
Keywords
Abstract
Paper
refutation argumentation
,
argumentation
,
large-scale analysis
,
sentence attackability
11:42
16/11/2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Kawin Ethayarajh
,
Dan Jurafsky
Keywords
Abstract
Paper
nlp
,
performance-based evaluation
,
leaderboard paradigm
,
microeconomic theory
7:03
16/11/2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Yu Meng
,
Yunyi Zhang
,
Jiaxin Huang
and
Chenyan Xiong
,
Heng Ji
,
Chao Zhang
,
Jiawei Han
Keywords
Abstract
Paper
classification
,
category understanding
,
document classification
,
topic classification
11:38
16/11/2020
Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems
Jan Deriu
,
Don Tuggener
,
Pius von Däniken
and
Jon Ander Campos
,
Alvaro Rodrigo
,
Thiziri Belkacem
,
Aitor Soroa
,
Eneko Agirre
,
Mark Cieliebak
Keywords
Abstract
Paper
evalu-ation methods
,
conversational systems
,
chat bots
,
spot bot
12:11
16/11/2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
Bang An
,
Jie Lyu
,
Zhenyi Wang
and
Chunyuan Li
,
Changwei Hu
,
Fei Tan
,
Ruiyi Zhang
,
Yifan Hu
,
Changyou Chen
Keywords
Abstract
Paper
natural applications
,
attention collapse
,
neural mechanism
,
bayesian perspective
9:29
16/11/2020
DualTKB: A Dual Learning Bridge between Text and Knowledge Base
Pierre Dognin
,
Igor Melnyk
,
Inkit Padhi
and
Cicero Nogueira dos Santos
,
Payel Das
Keywords
Abstract
Paper
kb conversion
,
dual approach
,
generative models
,
weak supervision
11:47
16/11/2020
Word Frequency Does Not Predict Grammatical Knowledge in Language Models
Charles Yu
,
Ryan Sie
,
Nicolas Tedeschi
,
Leon Bergen
Keywords
Abstract
Paper
reflexive anaphora
,
grammatical tasks
,
neural models
,
language models
11:12
16/11/2020
Are All Good Word Vector Spaces Isomorphic?
Ivan Vulić
,
Sebastian Ruder
,
Anders Søgaard
Keywords
Abstract
Paper
aligning spaces
,
monolingual training
,
vector spaces
,
non-isomorphic spaces
12:22
16/11/2020
Intrinsic Evaluation of Summarization Datasets
Rishi Bommasani
,
Claire Cardie
Keywords
Abstract
Paper
dataset construction
,
large-scale evaluation
,
large-scale datasets
,
summarization research
11:59
16/11/2020
GLUCOSE: GeneraLized and COntextualized Story Explanations
Nasrin Mostafazadeh
,
Aditya Kalyanpur
,
Lori Moon
and
David Buchanan
,
Lauren Berkowitz
,
Or Biran
,
Jennifer Chu-Carroll
Keywords
Abstract
Paper
ai systems
,
mental models
,
causal explanation
,
pretrained models
11:52
16/11/2020
Sparse Text Generation
Pedro Henrique Martins
,
Zita Marinho
,
André F. T. Martins
Keywords
Abstract
Paper
story completion
,
dialogue generation
,
text generators
,
language models
11:27
16/11/2020
Contrastive Distillation on Intermediate Representations for Language Model Compression
Siqi Sun
,
Zhe Gan
,
Yuwei Fang
and
Yu Cheng
,
Shuohang Wang
,
Jingjing Liu
Keywords
Abstract
Paper
contrastive distillation
,
compress models
,
pre-training stages
,
existing methods
8:19
16/11/2020
AmbigQA: Answering Ambiguous Open-domain Questions
Sewon Min
,
Julian Michael
,
Hannaneh Hajishirzi
,
Luke Zettlemoyer
Keywords
Abstract
Paper
open-domain answering
,
open-domain task
,
ambigqa
,
ambignq
12:26
16/11/2020
Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank
Eleftheria Briakou
,
Marine Carpuat
Keywords
Abstract
Paper
detecting content
,
cross-lingual nlp
,
machine problem
,
annotation
11:06
16/11/2020
Quantitative argument summarization and beyond: Cross-domain key point analysis
Roy Bar-Haim
,
Yoav Kantor
,
Lilach Eden
and
Roni Friedman
,
Dan Lahav
,
Noam Slonim
Keywords
Abstract
Paper
multi-document summarization
,
key analysis
,
automatic points
,
automatic analysis
11:07
16/11/2020
“I'd rather just go to bed”: Understanding Indirect Answers
Annie Louis
,
Dan Roth
,
Filip Radlinski
Keywords
Abstract
Paper
pragmatic problem
,
dialog
,
dialog systems
,
language model
11:39
16/11/2020
Exploring and Predicting Transferability across NLP Tasks
Tu Vu
,
Tong Wang
,
Tsendsuren Munkhdalai
and
Alessandro Sordoni
,
Adam Trischler
,
Andrew Mattarella-Micke
,
Subhransu Maji
,
Mohit Iyyer
Keywords
Abstract
Paper
language modeling
,
nlp tasks
,
text classification
,
question answering
10:55
16/11/2020
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
Hao Tan
,
Mohit Bansal
Keywords
Abstract
Paper
speaking
,
writing
,
text-only self-supervision
,
pure-language tasks
11:59
16/11/2020
A Simple and Effective Model for Answering Multi-span Questions
Elad Segal
,
Avia Efrat
,
Mor Shoham
and
Amir Globerson
,
Jonathan Berant
Keywords
Abstract
Paper
reading comprehension
,
rc
,
learning problem
,
sequence problem
7:06
16/11/2020
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!
Jack Hessel
,
Lillian Lee
Keywords
Abstract
Paper
modeling interactions
,
multimodal tasks
,
visual answering
,
multimodal learning
12:02
16/11/2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada
,
Akari Asai
,
Hiroyuki Shindo
and
Hideaki Takeda
,
Yuji Matsumoto
Keywords
Abstract
Paper
natural tasks
,
pretraining task
,
transformer
,
entity-related tasks
11:15
16/11/2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
Hanjie Chen
,
Yangfeng Ji
Keywords
Abstract
Paper
finding explanations
,
model interpretability
,
classification
,
interpretable classifier
11:37
16/11/2020
Multilingual Denoising Pre-training for Neural Machine Translation
Jiatao Gu
,
Yinhan Liu
,
Naman Goyal
and
Xian Li
,
Sergey Edunov
,
Marjan Ghazvininejad
,
Mike Lewis
,
Luke Zettlemoyer
Keywords
Abstract
Paper
machine tasks
,
pre-training
,
multilingual pre-training
,
mbart
10:32
16/11/2020
Efficient Meta Lifelong-Learning with Limited Memory
Zirui Wang
,
Sanket Vaibhav Mehta
,
Barnabas Poczos
,
Jaime Carbonell
Keywords
Abstract
Paper
lifelong learning
,
local adaptation
,
text benchmarks
,
multi-task learning
12:03
16/11/2020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Taylor Shin
,
Yasaman Razeghi
,
Robert L. Logan IV
and
Eric Wallace
,
Sameer Singh
Keywords
Abstract
Paper
pretraining
,
fill-in-the-blanks problems
,
cloze tests
,
sentiment analysis
12:13
16/11/2020
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms
Goro Kobayashi
,
Tatsuki Kuribayashi
,
Sho Yokoi
,
Kentaro Inui
Keywords
Abstract
Paper
natural processing
,
norm-based analyses
,
word alignment
,
transformers
11:51
16/11/2020
Topic Modeling in Embedding Spaces
Adji Bousso Dieng
,
Francisco Ruiz
,
David Blei
Keywords
Abstract
Paper
generative documents
,
topic modeling
,
topic models
,
embedded model
12:46
16/11/2020
Human-centric dialog training via offline reinforcement learning
Natasha Jaques
,
Judy Hanwen Shen
,
Asma Ghandeharioun
and
Craig Ferguson
,
Agata Lapedriza
,
Noah Jones
,
Shixiang Gu
,
Rosalind Picard
Keywords
Abstract
Paper
dialog model
,
rl policy
,
rl
,
language models
12:10
16/11/2020
Q-learning with Language Model for Edit-based Unsupervised Summarization
Ryosuke Kohita
,
Akifumi Wachi
,
Yang Zhao
,
Ryuki Tachibana
Keywords
Abstract
Paper
abstractive textsummarization
,
unsupervised summarization
,
unsupervised summarizers
,
unsupervised methods
12:32
16/11/2020
TernaryBERT: Distillation-aware Ultra-low Bit BERT
Wei Zhang
,
Lu Hou
,
Yichun Yin
and
Lifeng Shang
,
Xiao Chen
,
Xin Jiang
,
Qun Liu
Keywords
Abstract
Paper
natural tasks
,
training process
,
transformer-based models
,
bert
8:41
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