1 code implementation • EMNLP (NLP-COVID19) 2020 • Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min
In this paper, we address the problem of concept wikification for COVID-19, which is to automatically recognize mentions of concepts related to COVID-19 in text and resolve them into Wikipedia titles.
no code implementations • NAACL (HCINLP) 2022 • Mihai Surdeanu, John Hungerford, Yee Seng Chan, Jessica MacBride, Benjamin Gyori, Andrew Zupon, Zheng Tang, Haoling Qiu, Bonan Min, Yan Zverev, Caitlin Hilverman, Max Thomas, Walter Andrews, Keith Alcock, Zeyu Zhang, Michael Reynolds, Steven Bethard, Rebecca Sharp, Egoitz Laparra
An existing domain taxonomy for normalizing content is often assumed when discussing approaches to information extraction, yet often in real-world scenarios there is none. When one does exist, as the information needs shift, it must be continually extended.
no code implementations • EMNLP 2020 • Jiarui Yao, Haoling Qiu, Bonan Min, Nianwen Xue
We present the construction of a corpus of 500 Wikinews articles annotated with temporal dependency graphs (TDGs) that can be used to train systems to understand temporal relations in text.
no code implementations • 7 Sep 2024 • Hemanth Kandula, Damianos Karakos, Haoling Qiu, Benjamin Rozonoyer, Ian Soboroff, Lee Tarlin, Bonan Min
We present a novel, interactive system called $\textit{QueryBuilder}$, which allows a novice, English-speaking user to create queries with a small amount of effort, through efficient exploration of an English development corpus in order to rapidly develop cross-lingual information retrieval queries corresponding to the user's information needs.
Cross-Lingual Information Retrieval Efficient Exploration +1
2 code implementations • NAACL (ACL) 2022 • Oscar Sainz, Haoling Qiu, Oier Lopez de Lacalle, Eneko Agirre, Bonan Min
The current workflow for Information Extraction (IE) analysts involves the definition of the entities/relations of interest and a training corpus with annotated examples.
1 code implementation • ACL 2021 • Jiarui Yao, Haoling Qiu, Jin Zhao, Bonan Min, Nianwen Xue
In this paper, we frame factuality assessment as a modal dependency parsing task that identifies the events and their sources, formally known as conceivers, and then determine the level of certainty that the sources are asserting with respect to the events.
no code implementations • EMNLP (ACL) 2021 • Bonan Min, Benjamin Rozonoyer, Haoling Qiu, Alexander Zamanian, Jessica MacBride
Timely responses from policy makers to mitigate the impact of the COVID-19 pandemic rely on a comprehensive grasp of events, their causes, and their impacts.
no code implementations • IJCNLP 2019 • Bonan Min, Yee Seng Chan, Haoling Qiu, Joshua Fasching
Solving long-lasting problems such as food insecurity requires a comprehensive understanding of interventions applied by governments and international humanitarian assistance organizations, and their results and consequences.
no code implementations • ACL 2019 • Yee Seng Chan, Joshua Fasching, Haoling Qiu, Bonan Min
We present a system for rapidly customizing event extraction capability to find new event types and their arguments.