Haoling Qiu
YOU?
Author Swipe
View article: QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval
QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval Open
Frequently, users of an Information Retrieval (IR) system start with an overarching information need (a.k.a., an analytic task) and proceed to define finer-grained queries covering various important aspects (i.e., sub-topics) of that analy…
View article: ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations Open
The current workflow for Information Extraction (IE) analysts involves the definition of the entities/relations of interest and a training corpus with annotated examples. In this demonstration we introduce a new workflow where the analyst …
View article: Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction
Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction Open
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 con…
View article: ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations Open
Oscar Sainz, Haoling Qiu, Oier Lacalle, Eneko Agirre, Bonan Min. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations. 2022.
View article: ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19
ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19 Open
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. These events are reported at such a speed and scale as to be overwhelming. In thi…
View article: ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19
ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19 Open
Bonan Min, Benjamin Rozonoyer, Haoling Qiu, Alexander Zamanian, Nianwen Xue, Jessica MacBride. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2021.
View article: Factuality Assessment as Modal Dependency Parsing
Factuality Assessment as Modal Dependency Parsing Open
Jiarui Yao, Haoling Qiu, Jin Zhao, Bonan Min, Nianwen Xue. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long P…
View article: LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction
LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction Open
We present a system which allows a user to create event-event relation extractors on-demand with a small amount of effort. The system provides a suite of algorithms, flexible workflows, and a user interface (UI), to allow rapid customizati…
View article: Annotating Temporal Dependency Graphs via Crowdsourcing
Annotating Temporal Dependency Graphs via Crowdsourcing Open
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. We argue that temporal dependency graphs, built o…
View article: Concept Wikification for COVID-19
Concept Wikification for COVID-19 Open
Understanding scientific articles related to COVID-19 requires broad knowledge about concepts such as symptoms, diseases and medicine. Given the very large and ever-growing scientific articles related to COVID-19, it is a daunting task eve…
View article: Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature
Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature Open
Bonan Min, Yee Seng Chan, Haoling Qiu, Joshua Fasching. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
View article: Rapid Customization for Event Extraction
Rapid Customization for Event Extraction Open
Extracting events in the form of who is involved in what at when and where from text, is one of the core information extraction tasks that has many applications such as web search and question answering. We present a system for rapidly cus…
View article: Rapid Customization for Event Extraction
Rapid Customization for Event Extraction Open
We present a system for rapidly customizing event extraction capability to find new event types and their arguments. The system allows a user to find, expand and filter event triggers for a new event type by exploring an unannotated corpus…