no code implementations • SemEval (NAACL) 2022 • Jingxuan Tu, Eben Holderness, Marco Maru, Simone Conia, Kyeongmin Rim, Kelley Lynch, Richard Brutti, Roberto Navigli, James Pustejovsky
In this task, we identify a challenge that is reflective of linguistic and cognitive competencies that humans have when speaking and reasoning.
no code implementations • LREC 2022 • Marc Verhagen, Kelley Lynch, Kyeongmin Rim, James Pustejovsky
The Computational Linguistics Applications for Multimedia Services (CLAMS) platform provides access to computational content analysis tools for multimedia material.
no code implementations • 12 May 2021 • James Pustejovsky, Eben Holderness, Jingxuan Tu, Parker Glenn, Kyeongmin Rim, Kelley Lynch, Richard Brutti
In this paper, we argue that the design and development of multimodal datasets for natural language processing (NLP) challenges should be enhanced in two significant respects: to more broadly represent commonsense semantic inferences; and to better reflect the dynamics of actions and events, through a substantive alignment of textual and visual information.
no code implementations • LREC 2020 • Kyeongmin Rim, Jingxuan Tu, Kelley Lynch, James Pustejovsky
Within the natural language processing (NLP) community, shared tasks play an important role.
no code implementations • LREC 2020 • Kyeongmin Rim, Kelley Lynch, Marc Verhagen, Nancy Ide, James Pustejovsky
Promoting interoperrable computational linguistics (CL) and natural language processing (NLP) application platforms and interchange-able data formats have contributed improving discoverabilty and accessbility of the openly available NLP software.
no code implementations • WS 2019 • Kyeongmin Rim, Kelley Lynch, James Pustejovsky
We present Computational Linguistics Applications for Multimedia Services (CLAMS), a platform that provides access to computational content analysis tools for archival multimedia material that appear in different media, such as text, audio, image, and video.