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ACL
Member since:
2020-09-14
Last seen:
2020-12-14
User details
Name:
Annual Meeting of the Association for Computational Linguistics
Website:
https://acl2020.org/
About me:
ACL is the premier conference of the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language.
Papertalks of ACL
04/07/2020
Differentiable Window for Dynamic Local Attention
Thanh-Tung Nguyen
,
Xuan-Phi Nguyen
,
Shafiq Joty
,
Xiaoli Li
Keywords
Abstract
Paper
Dynamic Attention
,
dynamic selection
,
NLP tasks
,
machine translation
9:51
04/07/2020
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation
Lei Shen
,
Yang Feng
Keywords
Abstract
Paper
Emotion-Controllable Generation
,
training process
,
response tasks
,
CDL
11:05
04/07/2020
Emergence of Syntax Needs Minimal Supervision
Raphaël Bailly
,
Kata Gábor
Keywords
Abstract
Paper
Syntax
,
optimization process
,
syntax
,
corpus guidance
7:24
04/07/2020
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
Xabier Soto
,
Dimitar Shterionov
,
Alberto Poncelas
,
Andy Way
Keywords
Abstract
Paper
Neural Translation
,
Machine MT
,
new systems
,
MT systems
14:24
04/07/2020
ParaCrawl: Web-Scale Acquisition of Parallel Corpora
Marta Bañón
,
Pinzhen Chen
,
Barry Haddow
and
Kenneth Heafield
,
Hieu Hoang
,
Miquel Esplà-Gomis
,
Mikel L. Forcada
,
Amir Kamran
,
Faheem Kirefu
,
Philipp Koehn
,
Sergio Ortiz Rojas
,
Leopoldo Pla Sempere
,
Gema Ramírez-Sánchez
,
Elsa Sarrías
,
Marek Strelec
,
Brian Thompson
,
William Waites
,
Dion Wiggins
,
Jaume Zaragoza
Keywords
Abstract
Paper
sentence alignment
,
sentence filtering
,
machine systems
,
ParaCrawl
11:58
04/07/2020
From Arguments to Key Points: Towards Automatic Argument Summarization
Roy Bar-Haim
,
Lilach Eden
,
Roni Friedman
and
Yoav Kantor
,
Dan Lahav
,
Noam Slonim
Keywords
Abstract
Paper
Automatic Summarization
,
argument-to-key mapping
,
Arguments
,
crowd-contributed arguments
11:30
04/07/2020
Analysing Lexical Semantic Change with Contextualised Word Representations
Mario Giulianelli
,
Marco Del Tredici
,
Raquel Fernández
Keywords
Abstract
Paper
Contextualised Representations
,
unsupervised approach
,
BERT model
,
model representations
11:56
04/07/2020
Analyzing Political Parody in Social Media
Antonios Maronikolakis
,
Danae Sánchez Villegas
,
Daniel Preotiuc-Pietro
,
Nikolaos Aletras
Keywords
Abstract
Paper
comedic purposes
,
computational parody
,
automatically tweets
,
fact checking
11:30
04/07/2020
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases
Yunshi Lan
,
Jing Jiang
Keywords
Abstract
Paper
Query Generation
,
Answering Questions
,
staged method
,
constraints
7:32
04/07/2020
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
Jinhyuk Lee
,
Minjoon Seo
,
Hannaneh Hajishirzi
,
Jaewoo Kang
Keywords
Abstract
Paper
Real-Time Answering
,
Open-domain answering
,
phrase problem
,
Contextualized Representations
6:35
04/07/2020
Transition-based Semantic Dependency Parsing with Pointer Networks
Daniel Fernández-González
,
Carlos Gómez-Rodríguez
Keywords
Abstract
Paper
dependency parsing
,
harder problem
,
NLP problem
,
semantic parsing
11:44
04/07/2020
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez
,
Shashi Narayan
,
Bernd Bohnet
,
Ryan McDonald
Keywords
Abstract
Paper
Abstractive Summarization
,
likelihood objectives
,
open-ended tasks
,
language modeling
12:41
04/07/2020
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing
Clara Meister
,
Elizabeth Salesky
,
Ryan Cotterell
Keywords
Abstract
Paper
label smoothing
,
language tasks
,
Generalized Regularization
,
Label Smoothing
12:03
04/07/2020
Low-Resource Generation of Multi-hop Reasoning Questions
Jianxing Yu
,
Wei Liu
,
Shuang Qiu
and
Qinliang Su
,
Kai Wang
,
Xiaojun Quan
,
Jian Yin
Keywords
Abstract
Paper
Low-Resource Questions
,
generating questions
,
machine comprehension
,
multi-hop model
11:54
04/07/2020
GPT-too: A Language-Model-First Approach for AMR-to-Text Generation
Manuel Mager
,
Ramón Fernandez Astudillo
,
Tahira Naseem
and
Md Arafat Sultan
,
Young-Suk Lee
,
Radu Florian
,
Salim Roukos
Keywords
Abstract
Paper
AMR-to-Text Generation
,
GPT-too
,
Language-Model-First Approach
,
AMRs
6:59
04/07/2020
Stolen Probability: A Structural Weakness of Neural Language Models
David Demeter
,
Gregory Kimmel
,
Doug Downey
Keywords
Abstract
Paper
Neural Models
,
Neural NNLMs
,
NNLMs
,
softmax function
7:02
04/07/2020
Hierarchical Entity Typing via Multi-level Learning to Rank
Tongfei Chen
,
Yunmo Chen
,
Benjamin Van Durme
Keywords
Abstract
Paper
Hierarchical Typing
,
hierarchical classification
,
prediction
,
Multi-level Learning
11:47
04/07/2020
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Christopher Hidey
,
Tuhin Chakrabarty
,
Tariq Alhindi
and
Siddharth Varia
,
Kriste Krstovski
,
Mona Diab
,
Smaranda Muresan
Keywords
Abstract
Paper
retrieving evidence
,
endto- fact-checking
,
veracity prediction
,
FEVER
12:04
04/07/2020
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches
Tianze Shi
,
Lillian Lee
Keywords
Abstract
Paper
parsing
,
tagging
,
predicting MWEs
,
identifying MWEs
11:55
04/07/2020
Low Resource Sequence Tagging using Sentence Reconstruction
Tal Perl
,
Sriram Chaudhury
,
Raja Giryes
Keywords
Abstract
Paper
sentence reconstruction
,
transfer learning
,
Low Tagging
,
Sentence Reconstruction
6:56
04/07/2020
Named Entity Recognition as Dependency Parsing
Juntao Yu
,
Bernd Bohnet
,
Massimo Poesio
Keywords
Abstract
Paper
Named Recognition
,
NER
,
Natural Processing
,
NER research
7:16
04/07/2020
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
Hao Tang
,
Donghong Ji
,
Chenliang Li
,
Qiji Zhou
Keywords
Abstract
Paper
Aspect-based Classification
,
Dependency Structure
,
attention mechanism
,
Convolutional CNN
11:54
04/07/2020
Large Scale Multi-Actor Generative Dialog Modeling
Alex Boyd
,
Raul Puri
,
Mohammad Shoeybi
and
Mostofa Patwary
,
Bryan Catanzaro
Keywords
Abstract
Paper
Large Modeling
,
generation
,
style matching
,
automatic evaluations
11:49
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