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Deep Keyphrase Generation
- Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky, Yu Chi
- Computer ScienceACL
- 23 April 2017
Empirical analysis on six datasets demonstrates that the proposed generative model for keyphrase prediction with an encoder-decoder framework achieves a significant performance boost on extracting keyphrases that appear in the source text, but also can generate absent keyphRases based on the semantic meaning of the text.
Integrating Transformer and Paraphrase Rules for Sentence Simplification
A novel model based on a multi-layer and multi-head attention architecture and two innovative approaches to integrate the Simple PPDB (A Paraphrase Database for Simplification), an external paraphrase knowledge base for simplification that covers a wide range of real-world simplification rules.
Generating Diverse Numbers of Diverse Keyphrases
- Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
- Computer ScienceArXiv
- 11 October 2018
A recurrent generative model that generates multiple keyphrases sequentially from a text, with specific modules that promote generation diversity is proposed, which demonstrates superior performance to baselines on three types of keyphrase generation datasets.
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
Faceted summarization will spur further advances in summarization research and foster the development of NLP systems that can leverage the structured information in both long texts and summaries, according to this study.
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence
- Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He
- Computer ScienceArXiv
- 9 September 2019
Several orderings for concatenation are proposed and the important factors for training a successful keyphrase generation model are inspected, which can shed light on future research on this line of work.
Exploring Knowledge Learning in Collaborative Information Seeking Process
Through analyzing the data from a controlled laboratory user study with both collaborative and individual information seeking conditions, it is demonstrated that users' knowledge keeps growing in both conditions, but they issue significantly more diverse queries in the collaborative condition.
Automatic classification of citation function by new linguistic features
Some useful features by analyzing and finding unique linguistic patterns in citation context are presented, which can be used for improving the applications of citation analysis.
Towards an integrated clickstream data analysis framework for understanding web users' information behavior
This paper provides an integrated framework for information scientists to employ in their exploitation of clickstream data, which could contribute to more comprehensive research on users’ information behavior.
Knowledge-Based Content Linking for Online Textbooks
- Rui Meng, Shuguang Han, Yun Huang, Daqing He, Peter Brusilovsky
- Computer ScienceIEEE/WIC/ACM International Conference on Web…
- 1 October 2016
The results show that semantic modeling can be integrated with a term-based approach for additional performance improvement, and that using extra textbooks significantly benefits semantic modeling.
Automatic ICD Code Assignment to Medical Text with Semantic Relational Tuples
It is proved the semantic relational tuple is able to capture information at semantic level and it contribute to ICD-9 classification task in two aspects, negation identification and feature generation.