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20202026
most citedData Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation

62 citations · 104 across the 21 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

Improvements and Extensions on Metaphor Detection

Weicheng Ma, Ruibo Liu, Lili Wang +1

Metaphors are ubiquitous in human language. The metaphor detection task (MD) aims at detecting and interpreting metaphors from written language, which is crucial in natural languag…

cs.CL2020★ 9 cited

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data

Lili Wang, Chongyang Gao, Jason Wei +3

The field of NLP has seen unprecedented achievements in recent years. Most notably, with the advent of large-scale pre-trained Transformer-based language models, such as BERT, ther…

cs.CL2020★ 62 cited

Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation

Ruibo Liu, Guangxuan Xu, Chenyan Jia +3

Data augmentation is proven to be effective in many NLU tasks, especially for those suffering from data scarcity. In this paper, we present a powerful and easy to deploy text augme…

cs.CL2020★ 3 cited

Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding

Weicheng Ma, Ruibo Liu, Lili Wang +1

Authorship identification tasks, which rely heavily on linguistic styles, have always been an important part of Natural Language Understanding (NLU) research. While other tasks bas…

cs.CL2020★ 11 cited

Emoji Prediction: Extensions and Benchmarking

Weicheng Ma, Ruibo Liu, Lili Wang +1

Emojis are a succinct form of language which can express concrete meanings, emotions, and intentions. Emojis also carry signals that can be used to better understand communicative…