b'Eduard Hovy'

research

∙ 11/11/2019

Self-training with Noisy Student improves ImageNet classification

We present a simple self-training method that achieves 87.4 on ImageNet,...

36 Qizhe Xie, et al. ∙

research

∙ 11/11/2019

Decompressing Knowledge Graph Representations for Link Prediction

This paper studies the problem of predicting missing relationships betwe...

0 Xiang Kong, et al. ∙

research

∙ 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...

22 Dongyeop Kang, et al. ∙

research

∙ 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...

16 Vaibhav Vaibhav, et al. ∙

research

∙ 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...

25 Divyansh Kaushik, et al. ∙

research

∙ 09/10/2019

Definition Frames: Using Definitions for Hybrid Concept Representations

Concept representations is a particularly active area in NLP. Although r...

0 Evangelia Spiliopoulou, et al. ∙

research

∙ 09/05/2019

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Most sequence-to-sequence (seq2seq) models are autoregressive; they gene...

0 Xuezhe Ma, et al. ∙

research

∙ 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...

0 Takashi Shibuya, et al. ∙

research

∙ 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...

0 Dongyeop Kang, et al. ∙

research

∙ 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...

1 Dongyeop Kang, et al. ∙

research

∙ 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...

0 Taehee Jung, et al. ∙

research

∙ 05/08/2019

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

Emotion is intrinsic to humans and consequently emotion understanding is...

32 Soujanya Poria, et al. ∙

research

∙ 04/29/2019

Unsupervised Data Augmentation

Despite its success, deep learning still needs large labeled datasets to...

18 Qizhe Xie, et al. ∙

research

∙ 02/24/2019

The ARIEL-CMU Systems for LoReHLT18

This paper describes the ARIEL-CMU submissions to the Low Resource Human...

0 Aditi Chaudhary, et al. ∙

research

∙ 02/12/2019

MaCow: Masked Convolutional Generative Flow

Flow-based generative models, conceptually attractive due to tractabilit...

2 Xuezhe Ma, et al. ∙

research

∙ 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...

0 Xiang Kong, et al. ∙

research

∙ 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...

0 Abhilasha Ravichander, et al. ∙

research

∙ 01/06/2019

MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders

Variational Autoencoder (VAE), a simple and effective deep generative mo...

6 Xuezhe Ma, et al. ∙

research

∙ 11/21/2018

Neural Machine Translation with Adequacy-Oriented Learning

Although Neural Machine Translation (NMT) models have advanced state-of-...

10 Xiang Kong, et al. ∙

research

∙ 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...

0 Wasi Uddin Ahmad, et al. ∙

research

∙ 10/01/2018

The Profiling Machine: Active Generalization over Knowledge

The human mind is a powerful multifunctional knowledge storage and manag...

0 Filip Ilievski, et al. ∙

research

∙ 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 ...

0 Xiang Kong, et al. ∙

research

∙ 09/03/2018

Automatic Event Salience Identification

Identifying the salience (i.e. importance) of discourse units is an impo...

0 Zhengzhong Liu, et al. ∙

research

∙ 06/13/2018

Graph-Based Decoding for Event Sequencing and Coreference Resolution

Events in text documents are interrelated in complex ways. In this paper...

0 Zhengzhong Liu, et al. ∙

research

∙ 05/12/2018

AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples

We consider the problem of learning textual entailment models with limit...

4 Dongyeop Kang, et al. ∙

research

∙ 05/03/2018

Stack-Pointer Networks for Dependency Parsing

We introduce a novel architecture for dependency parsing: stack-pointer ...

0 Xuezhe Ma, et al. ∙

research

∙ 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...

0 Zihang Dai, et al. ∙

research

∙ 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...

0 Dongyeop Kang, et al. ∙

research

∙ 11/23/2017

SPINE: SParse Interpretable Neural Embeddings

Prediction without justification has limited utility. Much of the succes...

0 Anant Subramanian, et al. ∙

research

∙ 11/09/2017

Large-scale Cloze Test Dataset Designed by Teachers

Cloze test is widely adopted in language exams to evaluate students' lan...

0 Qizhe Xie, et al. ∙

research

∙ 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...

0 Dongyeop Kang, et al. ∙

research

∙ 07/04/2017

CharManteau: Character Embedding Models For Portmanteau Creation

Portmanteaus are a word formation phenomenon where two words are combine...

0 Varun Gangal, et al. ∙

research

∙ 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...

0 Harsh Jhamtani, et al. ∙

research

∙ 05/31/2017

Controllable Invariance through Adversarial Feature Learning

Learning meaningful representations that maintain the content necessary ...

0 Qizhe Xie, et al. ∙

research

∙ 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...

0 Xuezhe Ma, et al. ∙

research

∙ 05/08/2017

Ontology-Aware Token Embeddings for Prepositional Phrase Attachment

Type-level word embeddings use the same set of parameters to represent a...

0 Pradeep Dasigi, et al. ∙

research

∙ 04/19/2017

An Interpretable Knowledge Transfer Model for Knowledge Base Completion

Knowledge bases are important resources for a variety of natural languag...

0 Qizhe Xie, et al. ∙

research

∙ 04/15/2017

RACE: Large-scale ReAding Comprehension Dataset From Examinations

We present RACE, a new dataset for benchmark evaluation of methods in th...

0 Guokun Lai, et al. ∙

research

∙ 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...

0 Pradeep Dasigi, et al. ∙

research

∙ 01/04/2017

Neural Probabilistic Model for Non-projective MST Parsing

In this paper, we propose a probabilistic parsing model, which defines a...

0 Xuezhe Ma, et al. ∙

research

∙ 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...

0 Volkan Cirik, et al. ∙

research

∙ 09/26/2016

Dropout with Expectation-linear Regularization

Dropout, a simple and effective way to train deep neural networks, has l...

0 Xuezhe Ma, et al. ∙

research

∙ 03/21/2016

Harnessing Deep Neural Networks with Logic Rules

Combining deep neural networks with structured logic rules is desirable ...

0 Zhiting Hu, et al. ∙

research

∙ 03/15/2016

Unsupervised Ranking Model for Entity Coreference Resolution

Coreference resolution is one of the first stages in deep language under...

0 Xuezhe Ma, et al. ∙

research

∙ 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...

0 Xuezhe Ma, et al. ∙

research

∙ 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...

0 Sujay Kumar Jauhar, et al. ∙

research

∙ 07/06/2015

Reflections on Sentiment/Opinion Analysis

In this paper, we described possible directions for deeper understanding...

0 Jiwei Li, et al. ∙

research

∙ 02/28/2015

The NLP Engine: A Universal Turing Machine for NLP

It is commonly accepted that machine translation is a more complex task ...

0 Jiwei Li, et al. ∙

Eduard Hovy

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