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20162023
most citedReaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study

96 citations · 175 across the 7 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023★ 1 cited

SCALE: Synergized Collaboration of Asymmetric Language Translation Engines

Xin Cheng, Xun Wang, Tao Ge +4

In this paper, we introduce SCALE, a collaborative framework that connects compact Specialized Translation Models (STMs) and general-purpose Large Language Models (LLMs) as one uni…

cs.CL2019★ 31 cited

Formality Style Transfer with Hybrid Textual Annotations

Ruochen Xu, Tao Ge, Furu Wei

Formality style transformation is the task of modifying the formality of a given sentence without changing its content. Its challenge is the lack of large-scale sentence-aligned pa…

cs.CL2018★ 96 cited

Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study

Tao Ge, Furu Wei, Ming Zhou

Neural sequence-to-sequence (seq2seq) approaches have proven to be successful in grammatical error correction (GEC). Based on the seq2seq framework, we propose a novel fluency boos…

cs.CL2018★ 20 cited

Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion

Yue Liu, Tao Ge, Kusum S. Mathews +2

In the medical domain, identifying and expanding abbreviations in clinical texts is a vital task for both better human and machine understanding. It is a challenging task because m…

cs.CL2016★ 2 cited

Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment

Tao Ge, Qing Dou, Xiaoman Pan +5

Aligning coordinated text streams from multiple sources and multiple languages has opened many new research venues on cross-lingual knowledge discovery. In this paper we aim to adv…