activity
20182022
most citedUnsupervised Text Generation by Learning from Search

30 citations · 42 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL20222 cited

Text Revision by On-the-Fly Representation Optimization

Jingjing Li, Zichao Li, Tao Ge +2

Text revision refers to a family of natural language generation tasks, where the source and target sequences share moderate resemblance in surface form but differentiate in attribu…

cs.CL20223 cited

A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model

Xin Sun, Tao Ge, Shuming Ma +3

Synthetic data construction of Grammatical Error Correction (GEC) for non-English languages relies heavily on human-designed and language-specific rules, which produce limited erro…

cs.CL2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

Yifan Gao, Chien-Sheng Wu, Jingjing Li +5

Document interpretation and dialog understanding are the two major challenges for conversational machine reading. In this work, we propose Discern, a discourse-aware entailment rea…

cs.CL202030 cited

Unsupervised Text Generation by Learning from Search

Jingjing Li, Zichao Li, Lili Mou +3

In this work, we present TGLS, a novel framework to unsupervised Text Generation by Learning from Search. We start by applying a strong search algorithm (in particular, simulated a…

cs.CL20196 cited

Improving Question Generation With to the Point Context

Jingjing Li, Yifan Gao, Lidong Bing +2

Question generation (QG) is the task of generating a question from a reference sentence and a specified answer within the sentence. A major challenge in QG is to identify answer-re…

cs.DS20181 cited

ONCE and ONCE+: Counting the Frequency of Time-constrained Serial Episodes in a Streaming Sequence

Hui Li, Sizhe Peng, Jian Li +3

As a representative sequential pattern mining problem, counting the frequency of serial episodes from a streaming sequence has drawn continuous attention in academia due to its wid…