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

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System

Text classification is usually studied by labeling natural language text...
04/24/2021 ∙ by Congying Xia, et al. ∙ 0 ∙ share

read it
Learning to Synthesize Data for Semantic Parsing

Synthesizing data for semantic parsing has gained increasing attention r...
04/12/2021 ∙ by Bailin Wang, et al. ∙ 0 ∙ share

read it
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