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researcher

Shangwen Lv

4 papers hereh-index 91k citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedConditional BERT Contextual Augmentation

13 citations · 20 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2020★ 7 cited

Pre-training Text Representations as Meta Learning

Shangwen Lv, Yuechen Wang, Daya Guo +10

Pre-training text representations has recently been shown to significantly improve the state-of-the-art in many natural language processing tasks. The central goal of pre-training…

cs.CL2019

Learning review representations from user and product level information for spam detection

Chunyuan Yuan, Wei Zhou, Qianwen Ma +3

Opinion spam has become a widespread problem in social media, where hired spammers write deceptive reviews to promote or demote products to mislead the consumers for profit or fame…

cs.CL2019

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

Shangwen Lv, Daya Guo, Jingjing Xu +7

Commonsense question answering aims to answer questions which require background knowledge that is not explicitly expressed in the question. The key challenge is how to obtain evid…

cs.CL2018★ 13 cited

Conditional BERT Contextual Augmentation

Xing Wu, Shangwen Lv, Liangjun Zang +2

We propose a novel data augmentation method for labeled sentences called conditional BERT contextual augmentation. Data augmentation methods are often applied to prevent overfittin…

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