activity
20152022
most citedNeural Rating Regression with Abstractive Tips Generation for Recommendation

306 citations · 499 across the 21 of their papers we have counts for

collaborators

30 papers

cs.CL20212 cited

Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction

Piji Li, Shuming Shi

We investigate the problem of Chinese Grammatical Error Correction (CGEC) and present a new framework named Tail-to-Tail (\textbf{TtT}) non-autoregressive sequence prediction to ad…

cs.CL202110 cited

Non-Autoregressive Text Generation with Pre-trained Language Models

Yixuan Su, Deng Cai, Yan Wang +4

Non-autoregressive generation (NAG) has recently attracted great attention due to its fast inference speed. However, the generation quality of existing NAG models still lags behind…

cs.CL20213 cited

Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection

Wei Wang, Piji Li, Hai-Tao Zheng

Automatic comment generation is a special and challenging task to verify the model ability on news content comprehension and language generation. Comments not only convey salient a…

cs.CL20215 cited

Abstractive Opinion Tagging

Qintong Li, Piji Li, Xinyi Li +3

In e-commerce, opinion tags refer to a ranked list of tags provided by the e-commerce platform that reflect characteristics of reviews of an item. To assist consumers to quickly gr…

cs.CL2020

Consistency and Coherency Enhanced Story Generation

Wei Wang, Piji Li, Hai-Tao Zheng

Story generation is a challenging task, which demands to maintain consistency of the plots and characters throughout the story. Previous works have shown that GPT2, a large-scale l…

cs.CL20202 cited

Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning

Yifan Gao, Piji Li, Wei Bi +3

Sentence function is an important linguistic feature indicating the communicative purpose in uttering a sentence. Incorporating sentence functions into conversations has shown impr…