--- title: "Patrick Ng — author profile and papers · Question answering" description: "Patrick Ng: 2 papers on Elamur Research (2019–2021) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/patrick-ng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/patrick-ng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Patrick Ng # Patrick Ng Patrick Ng has 2 papers in our library, in 2019–2021, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Bing Xiang](https://md.research.elamur.ai/free/en/authors/bing-xiang/), [Ramesh Nallapati](https://md.research.elamur.ai/free/en/authors/ramesh-nallapati/), [Zhiguo Wang](https://md.research.elamur.ai/free/en/authors/zhiguo-wang/). 2 papers in our library · 2019–2021 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/patrick-ng/#papers) · [🔗 Cited 132 times in our library](https://md.research.elamur.ai/free/en/authors/patrick-ng/cited-by/) · [⭐ Paper Stars ranking: #3630](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3630) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Patrick+Ng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Patrick+Ng) · [dblp](https://dblp.org/search?q=Patrick+Ng) · [ACL Anthology](https://aclanthology.org/search/?q=Patrick+Ng) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Question answering · 2 works](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) ## Works by year ### 2020s [**2021** 1 paper Improving Factual Consistency of Abstractive Summarization via Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2021-improving-factual-consistency-abstractive-summarization/) ### 2010s [**2019** 1 paper Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2019-multi-passage-bert-globally-normalized/) ## Papers The most cited first (OpenAlex and our library). 1. **[Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2019-multi-passage-bert-globally-normalized/)** *(2019 · 303 citations)* Open-domain question answering requires finding answers in large collections such as Wikipedia, not in a single given paragraph. 2. **[Improving Factual Consistency of Abstractive Summarization via Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2021-improving-factual-consistency-abstractive-summarization/)** *(2021 · 128 citations)* Abstractive summarizers such as fine-tuned BART-large often produce fluent summaries that are not supported by the source document or even contradict it. Standard MLE training rewards n-gram overlap, not faithfulness. The authors tackle this problem in two steps. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Bing Xiang](https://md.research.elamur.ai/free/en/authors/bing-xiang/) ×2 - [Ramesh Nallapati](https://md.research.elamur.ai/free/en/authors/ramesh-nallapati/) ×2 - [Zhiguo Wang](https://md.research.elamur.ai/free/en/authors/zhiguo-wang/) ×2 - [Andrew O. Arnold](https://md.research.elamur.ai/free/en/authors/andrew-o-arnold/) - [Cicero Nogueira dos Santos](https://md.research.elamur.ai/free/en/authors/cicero-nogueira-dos-santos/) - [Dejiao Zhang](https://md.research.elamur.ai/free/en/authors/dejiao-zhang/) - [Feng Nan](https://md.research.elamur.ai/free/en/authors/feng-nan/) - [Henghui Zhu](https://md.research.elamur.ai/free/en/authors/henghui-zhu/) - [Kathleen McKeown](https://md.research.elamur.ai/free/en/authors/kathleen-mckeown/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/) ## Cited by Papers of our library cite their works 132 times (of the 141,840 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/patrick-ng/cited-by/). Updated 24 October 2026