activity
20182022
most citedOne Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases

10 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

Yifan Gao, Qingyu Yin, Zheng Li +5

Keyphrase generation is the task of automatically predicting keyphrases given a piece of long text. Despite its recent flourishing, keyphrase generation on non-English languages ha…

cs.CL2021★ 1 cited

Unsupervised Deep Keyphrase Generation

Xianjie Shen, Yinghan Wang, Rui Meng +1

Keyphrase generation aims to summarize long documents with a collection of salient phrases. Deep neural models have demonstrated a remarkable success in this task, capable of predi…

cs.CL2020

Predicting User Engagement Status for Online Evaluation of Intelligent Assistants

Rui Meng, Zhen Yue, Alyssa Glass

Evaluation of intelligent assistants in large-scale and online settings remains an open challenge. User behavior-based online evaluation metrics have demonstrated great effectivene…

cs.CL2020★ 4 cited

An Empirical Study on Neural Keyphrase Generation

Rui Meng, Xingdi Yuan, Tong Wang +3

Recent years have seen a flourishing of neural keyphrase generation (KPG) works, including the release of several large-scale datasets and a host of new models to tackle them. Mode…

cs.CL2018★ 10 cited

One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases

Xingdi Yuan, Tong Wang, Rui Meng +4

Different texts shall by nature correspond to different number of keyphrases. This desideratum is largely missing from existing neural keyphrase generation models. In this study, w…