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.
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.
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 • 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 • 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.
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.
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.
2 code implementations • 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
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.
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.