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779
papertalks found
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
Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation
Maximiliana Behnke
,
Kenneth Heafield
Keywords
Abstract
Paper
machine translation
,
inference
,
attention mechanism
,
transformer architecture
10:09
16/11/2020
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models
Isabel Papadimitriou
,
Dan Jurafsky
Keywords
Abstract
Paper
analyzing structure
,
encoding structure
,
natural acquisition
,
transfer learning
11:44
16/11/2020
Modeling the Music Genre Perception across Language-Bound Cultures
Elena V. Epure
,
Guillaume Salha
,
Manuel Moussallam
,
Romain Hennequin
Keywords
Abstract
Paper
music perception
,
unsupervised annotation
,
musicology
,
music retrieval
12:18
16/11/2020
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
Jue Wang
,
Wei Lu
Keywords
Abstract
Paper
named recognition
,
relation extraction
,
table-filling problem
,
representation process
11:33
16/11/2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
Trapit Bansal
,
Rishikesh Jha
,
Tsendsuren Munkhdalai
,
Andrew McCallum
Keywords
Abstract
Paper
nlp applications
,
fine-tuning
,
meta-learning problem
,
supervised tasks
11:49
16/11/2020
Sequence-Level Mixed Sample Data Augmentation
Demi Guo
,
Yoon Kim
,
Alexander Rush
Keywords
Abstract
Paper
sequence-to-sequence problems
,
scan
,
semantic parsing
,
neural networks
5:58
16/11/2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Kang Min Yoo
,
Hanbit Lee
,
Franck Dernoncourt
and
Trung Bui
,
Walter Chang
,
Sang-goo Lee
Keywords
Abstract
Paper
generative augmentation
,
nlp tasks
,
dialog tracking
,
dialog generation
5:34
16/11/2020
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
Keshav Kolluru
,
Vaibhav Adlakha
,
Samarth Aggarwal
and
Mausam
,
Soumen Chakrabarti
Keywords
Abstract
Paper
extractions
,
-d task
,
coordination analysis
,
neural system
12:26
16/11/2020
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks
Chengyue Jiang
,
Yinggong Zhao
,
Shanbo Chu
and
Libin Shen
,
Kewei Tu
Keywords
Abstract
Paper
natural applications
,
training
,
text classification
,
neural networks
11:32
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
HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media
Hsin-Yu Chen
,
Cheng-Te Li
Keywords
Abstract
Paper
computational cyberbullying
,
text sessions
,
model explainability
,
explainable detection
10:23
16/11/2020
LOGAN: Local Group Bias Detection by Clustering
Jieyu Zhao
,
Kai-Wei Chang
Keywords
Abstract
Paper
evaluating bias
,
toxicity classification
,
object tasks
,
machine techniques
7:16
16/11/2020
Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
Yufan Zhao
,
Can Xu
,
Wei Wu
Keywords
Abstract
Paper
multi-turn generation
,
response generation
,
word recovery
,
utterance recovery
10:08
16/11/2020
Direct Segmentation Models for Streaming Speech Translation
Javier Iranzo-Sánchez
,
Adrià Giménez Pastor
,
Joan Albert Silvestre-Cerdà
and
Pau Baquero-Arnal
,
Jorge Civera Saiz
,
Alfons Juan
Keywords
Abstract
Paper
st
,
streaming st
,
pipeline
,
automatic system
11:53
16/11/2020
SLM: Learning a Discourse Language Representation with Sentence Unshuffling
Haejun Lee
,
Drew A. Hudson
,
Kangwook Lee
,
Christopher D. Manning
Keywords
Abstract
Paper
nlp
,
sentence-level modeling
,
discourse representation
,
pre-training methods
9:21
16/11/2020
Tackling the Low-resource Challenge for Canonical Segmentation
Manuel Mager
,
Özlem Çetinoğlu
,
Katharina Kann
Keywords
Abstract
Paper
morphological generation
,
canonical segmentation
,
lstm pointer-generator
,
sequence-to-sequence model
11:55
16/11/2020
Substance over Style: Document-Level Targeted Content Transfer
Allison Hegel
,
Sudha Rao
,
Asli Celikyilmaz
,
Bill Dolan
Keywords
Abstract
Paper
sentence-level rewriting
,
document-level transfer
,
language generation
,
generative model
10:52
16/11/2020
Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training
Wanwei He
,
Min Yang
,
Rui Yan
and
Chengming Li
,
Ying Shen
,
Ruifeng Xu
Keywords
Abstract
Paper
task completion
,
generating responses
,
task-oriented dialogue
,
task-oriented systems
9:15
16/11/2020
Routing Enforced Generative Model for Recipe Generation
Zhiwei Yu
,
Hongyu Zang
,
Xiaojun Wan
Keywords
Abstract
Paper
recipe generation
,
content selection
,
recipe task
,
routing method
9:33
16/11/2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
Francisco Vargas
,
Ryan Cotterell
Keywords
Abstract
Paper
word embeddings
,
analogical task
,
non-linear mitigation
,
gender
12:03
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
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Bhargavi Paranjape
,
Mandar Joshi
,
John Thickstun
and
Hannaneh Hajishirzi
,
Luke Zettlemoyer
Keywords
Abstract
Paper
language understanding
,
semi-supervised setting
,
complex models
,
explainer
11:44
16/11/2020
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model
Jun Yen Leung
,
Guy Emerson
,
Ryan Cotterell
Keywords
Abstract
Paper
multi-lingual ordering
,
corpus-driven model
,
latent-variable model
,
statistical model
8:46
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
Message Passing for Hyper-Relational Knowledge Graphs
Mikhail Galkin
,
Priyansh Trivedi
,
Gaurav Maheshwari
and
Ricardo Usbeck
,
Jens Lehmann
Keywords
Abstract
Paper
link prediction
,
kgs
,
message encoder
,
message -
11:46
16/11/2020
Visually Grounded Continual Learning of Compositional Phrases
Xisen Jin
,
Junyi Du
,
Arka Sadhu
and
Ram Nevatia
,
Xiang Ren
Keywords
Abstract
Paper
visually task
,
continual phrases
,
visually-grounded task
,
compositional generalization
10:50
16/11/2020
Counterfactual Off-Policy Training for Neural Dialogue Generation
Qingfu Zhu
,
Wei-Nan Zhang
,
Ting Liu
,
William Yang Wang
Keywords
Abstract
Paper
open-domain generation
,
data problem
,
training
,
counterfactual reasoning
11:37
16/11/2020
Distilling Structured Knowledge for Text-Based Relational Reasoning
Jin Dong
,
Marc-Antoine Rondeau
,
William L. Hamilton
Keywords
Abstract
Paper
relational reasoning
,
reasoning task
,
cross-modal transfer
,
text-based systems
5:15
16/11/2020
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models
Alexander Terenin
,
Måns Magnusson
,
Leif Jonsson
Keywords
Abstract
Paper
data-parallel training
,
computation
,
probabilistic models
,
parallel systems
9:46
16/11/2020
Friendly Topic Assistant for Transformer Based Abstractive Summarization
Zhengjue Wang
,
Zhibin Duan
,
Hao Zhang
and
Chaojie Wang
,
Long Tian
,
Bo Chen
,
Mingyuan Zhou
Keywords
Abstract
Paper
abstractive summarization
,
document understanding
,
summary generation
,
ta
10:21
16/11/2020
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu
,
Yue Dong
,
Laurent Charlin
Keywords
Abstract
Paper
multi-document summarization
,
multi-document task
,
multi-xscience
,
extreme summarization
6:36
16/11/2020
doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset
Song Feng
,
Hui Wan
,
Chulaka Gunasekara
and
Siva Patel
,
Sachindra Joshi
,
Luis Lastras
Keywords
Abstract
Paper
information-seeking conversations
,
dialogue tasks
,
dialogue flows
,
content elements
11:05
16/11/2020
Structure Aware Negative Sampling in Knowledge Graphs
Kian Ahrabian
,
Aarash Feizi
,
Yasmin Salehi
and
William L. Hamilton
,
Avishek Joey Bose
Keywords
Abstract
Paper
inferring patterns
,
learning representations
,
contrastive estimation
,
contrastive approaches
6:31
16/11/2020
Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies
Maryam Aminian
,
Mohammad Sadegh Rasooli
,
Mona Diab
Keywords
Abstract
Paper
syntactic parsing
,
auxiliary task
,
multitask setup
,
annotation projection
7:11
16/11/2020
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
Tatiana Shavrina
,
Alena Fenogenova
,
Emelyanov Anton
and
Denis Shevelev
,
Ekaterina Artemova
,
Valentin Malykh
,
Vladislav Mikhailov
,
Maria Tikhonova
,
Andrey Chertok
,
Andrey Evlampiev
Keywords
Abstract
Paper
natural inference
,
logical operations
,
human evaluation
,
evaluating models
11:59
16/11/2020
NwQM: A neural quality assessment framework for Wikipedia
Bhanu Prakash Reddy Guda
,
Sasi Bhushan Seelaboyina
,
Soumya Sarkar
,
Animesh Mukherjee
Keywords
Abstract
Paper
manual designation
,
wikipedia representation
,
ablation studies
,
editors
11:01
16/11/2020
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
Xiangpeng Wei
,
Heng Yu
,
Yue Hu
and
Rongxiang Weng
,
Luxi Xing
,
Weihua Luo
Keywords
Abstract
Paper
sequence-to-sequence task
,
nmt
,
inference
,
translation tasks
11:11
16/11/2020
Grounded Adaptation for Zero-shot Executable Semantic Parsing
Victor Zhong
,
Mike Lewis
,
Sida I. Wang
,
Luke Zettlemoyer
Keywords
Abstract
Paper
adaptation
,
grounded adaptation
,
semantic parser
,
database schemas
10:57
16/11/2020
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models
Thuy-Trang Vu
,
Dinh Phung
,
Gholamreza Haffari
Keywords
Abstract
Paper
combinatorial problem
,
unsupervised tasks
,
named recognition
,
broad-coverage models
11:57
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