Wenpeng Yin

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Hinrich SchützeUniversity of MunichVerified email at cis.lmu.de
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Caiming XiongSalesforce ResearchVerified email at salesforce.com
Mo YuWeChat AI, TencentVerified email at tencent.com
Richard Socheryou.comVerified email at stanford.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
Nazneen RajaniHugging FaceVerified email at huggingface.co
Cicero Nogueira dos SantosResearch Scientist, Google ResearchVerified email at google.com
Chris Callison-BurchAssociate Professor, University of PennsylvaniaVerified email at upenn.edu
Daniel KhashabiJohns Hopkins UniversityVerified email at jhu.edu
Sihao ChenPh.D. student, University of PennsylvaniaVerified email at seas.upenn.edu
Muhao ChenAssistant Professor of Computer Science, University of California, DavisVerified email at ucdavis.edu
Ming Zhou (周明)Chief Scientist at Sinovation, ACL president (2019), VP of CCF(2020-2024)Verified email at chuangxin.com
Xi Victoria LinFAIR, Meta AIVerified email at fb.com
Yadollah YaghoobzadehUniversity of TehranVerified email at ut.ac.ir
Lifu HuangAssistant Professor, Virginia TechVerified email at vt.edu
Slobodan VuceticProfessor of Computer Science, Temple UniversityVerified email at temple.edu
Marie-Francine MoensProfessor of Computer Science KU LeuvenVerified email at cs.kuleuven.be
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net

Wenpeng Yin

Assistant Professor at Penn State University

Verified email at psu.edu - Homepage

Learning from Instructions Information Extraction Few-shot & Zero-shot Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Comparative Study of CNN and RNN for Natural Language Processing W Yin, K Kann, M Yu, H Schütze arXiv preprint arXiv:1702.01923, 2017	1243	2017
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs W Yin, H Schütze, B Xiang, B Zhou Transactions of the Association for Computational Linguistics, 2016	1107	2016
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach W Yin, J Hay, D Roth EMNLP, 3914-3923, 2019	440	2019
Improved Neural Relation Detection for Knowledge Base Question Answering M Yu, W Yin, KS Hasan, C Santos, B Xiang, B Zhou ACL, 571-581, 2017	358	2017
Convolutional Neural Network for Paraphrase Identification W Yin, H Schütze NAACL, 901--911, 2015	269	2015
Simple Question Answering by Attentive Convolutional Neural Network W Yin, M Yu, B Xiang, B Zhou, H Schütze COLING, 1746-1756, 2016	223	2016
Multichannel Variable-Size Convolution for Sentence Classification W Yin, H Schütze CoNLL, 204--214, 2015	193	2015
Learning Word Meta-Embeddings W Yin, H Schütze ACL, 1351--1360, 2016	171*	2016
Optimizing Sentence Modelling and Selection for Document Summarization W Yin, Y Pei IJCAI, 1383--1989, 2015	129	2015
Attention-based convolutional neural network for machine comprehension W Yin, S Ebert, H Schütze NAACL HCQA workshop, 15-21, 2016	114	2016
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT L Sun, K Hashimoto, W Yin, A Asai, J Li, P Yu, C Xiong Arxiv, 2020	112	2020
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks L Sun, C Xia, W Yin, T Liang, PS Yu, L He COLING, 3436-3440, 2020	102	2020
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims S Chen, D Khashabi, W Yin, C Callison-Burch, D Roth NAACL, 542-557, 2019	100	2019
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification W Yin, D Roth EMNLP, 105-114, 2018	83	2018
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization A Esteva, A Kale, R Paulus, K Hashimoto, W Yin, D Radev, R Socher NPJ digital medicine 4 (1), 68, 2021	80	2021
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity W Yin, H Schütze ACL 1, 63--73, 2015	80	2015
Meta-learning for few-shot natural language processing: A survey W Yin arXiv preprint arXiv:2007.09604, 2020	71	2020
Universal natural language processing with limited annotations: Try few-shot textual entailment as a start W Yin, NF Rajani, D Radev, R Socher, C Xiong EMNLP, 8229-8239, 2020	64	2020
Co-search: Covid-19 information retrieval with semantic search, question answering, and abstractive summarization A Esteva, A Kale, R Paulus, K Hashimoto, W Yin, D Radev, R Socher arXiv preprint arXiv:2006.09595, 2020	63	2020
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference W Yin, D Radev, C Xiong ACL, 4913-4922, 2021	62	2021

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