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11/11/2019
Self-training with Noisy Student improves ImageNet classification
We present a simple self-training method that achieves 87.4 on ImageNet,...
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11/11/2019
Decompressing Knowledge Graph Representations for Link Prediction
This paper studies the problem of predicting missing relationships betwe...
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11/09/2019
xSLUE: A Benchmark and Analysis Platform for Cross-Style Language Understanding and Evaluation
Every natural text is written in some style. The style is formed by a co...
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10/27/2019
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification
The rising growth of fake news and misleading information through online...
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09/26/2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Despite alarm over the reliance of machine learning systems on so-called...
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09/10/2019
Definition Frames: Using Definitions for Hybrid Concept Representations
Concept representations is a particularly active area in NLP. Although r...
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09/05/2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Most sequence-to-sequence (seq2seq) models are autoregressive; they gene...
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09/05/2019
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
When an entity name contains other names within it, the identification o...
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08/31/2019
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas
Stylistic variation in text needs to be studied with different aspects i...
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08/30/2019
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
Generating a long, coherent text such as a paragraph requires a high-lev...
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08/30/2019
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Despite the recent developments on neural summarization systems, the und...
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05/08/2019
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
Emotion is intrinsic to humans and consequently emotion understanding is...
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04/29/2019
Unsupervised Data Augmentation
Despite its success, deep learning still needs large labeled datasets to...
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02/24/2019
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
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02/12/2019
MaCow: Masked Convolutional Generative Flow
Flow-based generative models, conceptually attractive due to tractabilit...
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01/22/2019
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation
In this work, we propose a method for neural dialogue response generatio...
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01/11/2019
EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference
Quantitative reasoning is an important component of reasoning that any i...
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01/06/2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Variational Autoencoder (VAE), a simple and effective deep generative mo...
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11/21/2018
Neural Machine Translation with Adequacy-Oriented Learning
Although Neural Machine Translation (NMT) models have advanced state-of-...
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11/01/2018
Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing
Cross-lingual transfer is the major means toleverage knowledge from high...
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10/01/2018
The Profiling Machine: Active Generalization over Knowledge
The human mind is a powerful multifunctional knowledge storage and manag...
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09/25/2018
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation
Mixture of Softmaxes (MoS) has been shown to be effective at addressing ...
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09/03/2018
Automatic Event Salience Identification
Identifying the salience (i.e. importance) of discourse units is an impo...
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06/13/2018
Graph-Based Decoding for Event Sequencing and Coreference Resolution
Events in text documents are interrelated in complex ways. In this paper...
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05/12/2018
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
We consider the problem of learning textual entailment models with limit...
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05/03/2018
Stack-Pointer Networks for Dependency Parsing
We introduce a novel architecture for dependency parsing: stack-pointer ...
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04/29/2018
From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction
In this work, we study the credit assignment problem in reward augmented...
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04/25/2018
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
Peer reviewing is a central component in the scientific publishing proce...
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11/23/2017
SPINE: SParse Interpretable Neural Embeddings
Prediction without justification has limited utility. Much of the succes...
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11/09/2017
Large-scale Cloze Test Dataset Designed by Teachers
Cloze test is widely adopted in language exams to evaluate students' lan...
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07/27/2017
Detecting and Explaining Causes From Text For a Time Series Event
Explaining underlying causes or effects about events is a challenging bu...
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07/04/2017
CharManteau: Character Embedding Models For Portmanteau Creation
Portmanteaus are a word formation phenomenon where two words are combine...
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07/04/2017
Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models
Variations in writing styles are commonly used to adapt the content to a...
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05/31/2017
Controllable Invariance through Adversarial Feature Learning
Learning meaningful representations that maintain the content necessary ...
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05/19/2017
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML
Reward augmented maximum likelihood (RAML), a simple and effective learn...
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05/08/2017
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Type-level word embeddings use the same set of parameters to represent a...
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04/19/2017
An Interpretable Knowledge Transfer Model for Knowledge Base Completion
Knowledge bases are important resources for a variety of natural languag...
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04/15/2017
RACE: Large-scale ReAding Comprehension Dataset From Examinations
We present RACE, a new dataset for benchmark evaluation of methods in th...
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02/17/2017
Experiment Segmentation in Scientific Discourse as Clause-level Structured Prediction using Recurrent Neural Networks
We propose a deep learning model for identifying structure within experi...
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01/04/2017
Neural Probabilistic Model for Non-projective MST Parsing
In this paper, we propose a probabilistic parsing model, which defines a...
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11/18/2016
Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks
Curriculum Learning emphasizes the order of training instances in a comp...
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09/26/2016
Dropout with Expectation-linear Regularization
Dropout, a simple and effective way to train deep neural networks, has l...
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03/21/2016
Harnessing Deep Neural Networks with Logic Rules
Combining deep neural networks with structured logic rules is desirable ...
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03/15/2016
Unsupervised Ranking Model for Entity Coreference Resolution
Coreference resolution is one of the first stages in deep language under...
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03/04/2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
State-of-the-art sequence labeling systems traditionally require large a...
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02/12/2016
TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questions
We describe two new related resources that facilitate modelling of gener...
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07/06/2015
Reflections on Sentiment/Opinion Analysis
In this paper, we described possible directions for deeper understanding...
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02/28/2015
