4 code implementations • ACL 2017 • Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky, Yu Chi
Keyphrase provides highly-condensed information that can be effectively used for understanding, organizing and retrieving text content.
1 code implementation • ACL 2020 • Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler
With both previous and new evaluation metrics, our model outperforms strong baselines on all datasets.
1 code implementation • 9 Sep 2019 • Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He
Recently, concatenating multiple keyphrases as a target sequence has been proposed as a new learning paradigm for keyphrase generation.
1 code implementation • NAACL 2021 • Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
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.
1 code implementation • 20 Aug 2022 • Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He
Finally, we fine-tune the model with limited data with true labels to fully adapt it to the target domain.
1 code implementation • EMNLP 2018 • Sanqiang Zhao, Rui Meng, Daqing He, Saptono Andi, Parmanto Bambang
Sentence simplification aims to reduce the complexity of a sentence while retaining its original meaning.
Ranked #3 on Text Simplification on ASSET
1 code implementation • ACL 2021 • Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
Faceted summarization provides briefings of a document from different perspectives.
Ranked #1 on Unsupervised Extractive Summarization on FacetSum
no code implementations • WS 2017 • Danchen Zhang, Daqing He, Sanqiang Zhao, Lei LI
Frequent diseases often have more training data, which helps its classification to perform better than that of an infrequent disease.
no code implementations • 22 May 2020 • Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He
The outcomes of our work include a validated knowledge engineering procedure, a code-book for technical concept annotation, and a set of concept annotations for the target textbook, which could be used as gold standard in further research.
no code implementations • 5 Apr 2024 • Zhuochun Li, Bo Xie, Robin Hilsabeck, Alyssa Aguirre, Ning Zou, Zhimeng Luo, Daqing He
Evidence suggests that different prompts lead large language models (LLMs) to generate responses with varying quality.