Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Haoling Qiu"'
Autor:
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
Publikováno v:
Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61798b2a7a417a04e61e29827a5993c8
https://doi.org/10.18653/v1/2022.hcinlp-1.1
https://doi.org/10.18653/v1/2022.hcinlp-1.1
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 directly ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60beac681f3427d3a9b197533a6a263a
Autor:
Bonan Min, Benjamin Rozonoyer, Haoling Qiu, Alexander Zamanian, Nianwen Xue, Jessica MacBride
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6500d8434b5bd3e2165a5bc01250f17
https://doi.org/10.18653/v1/2021.emnlp-demo.8
https://doi.org/10.18653/v1/2021.emnlp-demo.8
Publikováno v:
NLP4COVID@EMNLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b98edecaa181f990aecd7de87b4c083e
https://doi.org/10.18653/v1/2020.nlpcovid19-2.29
https://doi.org/10.18653/v1/2020.nlpcovid19-2.29
Publikováno v:
EMNLP (1)
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 on previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcfe24ad2096c0957aca16a8c31470d4
https://doi.org/10.18653/v1/2020.emnlp-main.432
https://doi.org/10.18653/v1/2020.emnlp-main.432
Publikováno v:
AAAI
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 customization of event
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f72672470ee703c804a41d4c1c55c339
https://doi.org/10.1609/aaai.v34i09.7102
https://doi.org/10.1609/aaai.v34i09.7102
Publikováno v:
EMNLP/IJCNLP (1)
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. Towards achieving this g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2273fb443d3e37a9b8bb94e36e391071
https://doi.org/10.18653/v1/d19-1680
https://doi.org/10.18653/v1/d19-1680
Publikováno v:
ACL (3)
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 customizing ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b2b78f172ba6ada9a6f1fe19b0a5468