Wenpeng Yin

is this you? claim profile

∙ 0 followers
Universität München ∙ University of Pennsylvania ∙ Salesforce

Postdoctoral Researcher in the Department of Computer & Information Science at University of Pennsylvania

Paired Representation Learning for Event and Entity Coreference

Co-reference of Events and of Entities are commonly formulated as binary...
10/24/2020 ∙ by Xiaodong Yu, et al. ∙ 0 ∙ share

read it
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start

A standard way to address different NLP problems is by first constructin...
10/06/2020 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks

Mixup is the latest data augmentation technique that linearly interpolat...
10/05/2020 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

read it
Meta-learning for Few-shot Natural Language Processing: A Survey

Few-shot natural language processing (NLP) refers to NLP tasks that are ...
07/19/2020 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization

The COVID-19 global pandemic has resulted in international efforts to un...
06/17/2020 ∙ by Andre Esteva, et al. ∙ 11 ∙ share

read it
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

There is an increasing amount of literature that claims the brittleness ...
02/27/2020 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

read it
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Zero-shot text classification (0Shot-TC) is a challenging NLU problem to...
08/31/2019 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing

Multi-Task Learning (MTL) aims at boosting the overall performance of ea...
08/16/2019 ∙ by Jianquan Li, et al. ∙ 0 ∙ share

read it
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims

One key consequence of the information revolution is a significant incre...
06/08/2019 ∙ by Sihao Chen, et al. ∙ 0 ∙ share

read it
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification

Determining whether a given claim is supported by evidence is a fundamen...
08/10/2018 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Term Definitions Help Hypernymy Detection

Existing methods of hypernymy detection mainly rely on statistics over a...
06/12/2018 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs

Large scale knowledge graphs (KGs) such as Freebase are generally incomp...
06/12/2018 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions

This work deals with SciTail, a natural entailment challenge derived fro...
04/24/2018 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions

This work deals with SciTail, a natural entailment problem derived from ...
04/24/2018 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Attentive Convolution

In NLP, convolution neural networks (CNNs) have benefited less than recu...
10/02/2017 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Improved Neural Relation Detection for Knowledge Base Question Answering

Relation detection is a core component for many NLP applications includi...
04/20/2017 ∙ by Mo Yu, et al. ∙ 0 ∙ share

read it
Comparative Study of CNN and RNN for Natural Language Processing

Deep neural networks (DNN) have revolutionized the field of natural lang...
02/07/2017 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching

This work studies comparatively two typical sentence matching tasks: tex...
01/09/2017 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Simple Question Answering by Attentive Convolutional Neural Network

This work focuses on answering single-relation factoid questions over Fr...
06/10/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Why and How to Pay Different Attention to Phrase Alignments of Different Intensities

This work studies comparatively two typical sentence pair classification...
04/23/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Discriminative Phrase Embedding for Paraphrase Identification

This work, concerning paraphrase identification task, on one hand contri...
04/02/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Online Updating of Word Representations for Part-of-Speech Tagging

We propose online unsupervised domain adaptation (DA), which is performe...
04/02/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Multichannel Variable-Size Convolution for Sentence Classification

We propose MVCNN, a convolution neural network (CNN) architecture for se...
03/15/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Attention-Based Convolutional Neural Network for Machine Comprehension

Understanding open-domain text is one of the primary challenges in natur...
02/13/2016 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

How to model a pair of sentences is a critical issue in many NLP tasks s...
12/16/2015 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it
Learning Meta-Embeddings by Using Ensembles of Embedding Sets

Word embeddings -- distributed representations of words -- in deep learn...
08/18/2015 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

read it

Wenpeng Yin

Featured Co-authors

Philip S. Yu

Caiming Xiong

Richard Socher

Hinrich Schütze

Dan Roth

Jia Li

Mo Yu

Bowen Zhou

Bing Xiang

Katharina Kann

Dragomir Radev

Paired Representation Learning for Event and Entity Coreference

Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks

Meta-learning for Few-shot Natural Language Processing: A Survey

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims

TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification

Term Definitions Help Hypernymy Detection

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs

End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions

End-Task Oriented Textual Entailment via Deep Exploring Inter-Sentence Interactions

Attentive Convolution

Improved Neural Relation Detection for Knowledge Base Question Answering

Comparative Study of CNN and RNN for Natural Language Processing

Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching

Simple Question Answering by Attentive Convolutional Neural Network

Why and How to Pay Different Attention to Phrase Alignments of Different Intensities

Discriminative Phrase Embedding for Paraphrase Identification

Online Updating of Word Representations for Part-of-Speech Tagging

Multichannel Variable-Size Convolution for Sentence Classification

Attention-Based Convolutional Neural Network for Machine Comprehension

ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

Learning Meta-Embeddings by Using Ensembles of Embedding Sets