6 citations · 7 across the 4 of their papers we have counts for
4 papers
MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering
Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser
We introduce MemSum-DQA, an efficient system for document question answering (DQA) that leverages MemSum, a long document extractive summarizer. By prefixing each text block in the…
Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information
Yingqiang Gao, Jessica Lam, Nianlong Gu +1
The abstracts of scientific papers consist of premises and conclusions. Structured abstracts explicitly highlight the conclusion sentences, whereas non-structured abstracts may hav…
Legal Extractive Summarization of U.S. Court Opinions
Emmanuel Bauer, Dominik Stammbach, Nianlong Gu +1
This paper tackles the task of legal extractive summarization using a dataset of 430K U.S. court opinions with key passages annotated. According to automated summary quality metric…
Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking
Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser
The goal of local citation recommendation is to recommend a missing reference from the local citation context and optionally also from the global context. To balance the tradeoff b…