Papers by Marc Verhagen
Bridging the LAPPS Grid and CLARIN (L18-1)
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Erhard Hinrichs, Nancy Ide, James Pustejovsky, Jan Hajič, Marie Hinrichs, Mohammad Fazleh Elahi, Keith Suderman, Marc Verhagen, Kyeongmin Rim, Pavel Straňák, Jozef Mišutka
| Challenge: | The LAPPS-CLARIN project is creating a "trust network" between the Language Applications Grid and WebLicht workflow engine . the goal is to allow users on one side of the bridge to gain appropriately authenticated access to the other . |
| Approach: | The LAPPS-CLARIN project is creating a "trust network" between the Language Applications Grid and WebLicht workflow engine hosted by the CLARIN-D Center in Tübingen. |
| Outcome: | The LAPPS-CLARIN project is creating a "trust network" between the Language Applications (LAPPS) Grid and the WebLicht workflow engine hosted by the CLARIN-D Center in Tübingen. |
Interchange Formats for Visualization: LIF and MMIF (2020.lrec-1)
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| Challenge: | In this paper, we discuss the enhanced data visualization capabilities enabled by interoperating computational linguistics and natural language processing (NLP) applications. |
| Approach: | They propose to use interchange formats to enable enhanced data visualization . they propose to combine CL tools with openly available visualization tools . |
| Outcome: | The proposed formats can be used to create visualizations and manipulate annotations in multiple ways. |
Evaluating Retrieval for Multi-domain Scientific Publications (2022.lrec-1)
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Nancy Ide, Keith Suderman, Jingxuan Tu, Marc Verhagen, Shanan Peters, Ian Ross, John Lawson, Andrew Borg, James Pustejovsky
| Challenge: | a new framework for retrieval and mining of scientific publications is being developed . the AskMe retrieval engine is a bridge between xDD's publication database and the LAPPS Grid suite of NLP tools. |
| Approach: | They evaluate AskMe retrievalengine using BEIR benchmark datasets . they aim to determine when and why certain approaches perform well on in-domain and out-of-domain data. |
| Outcome: | The AskMe retrieval engine performs well on both in-domain and out-of-domain data. |
Exploration and Discovery of the COVID-19 Literature through Semantic Visualization (2021.naacl-srw)
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| Challenge: | Existing semantic visualization methods are limited in finding connections between corpora targeting a specific topic. |
| Approach: | They propose to use semantic visualization to explore large datasets of complex networks by exploiting the semantics of the relations in them. |
| Outcome: | The proposed method can enable exploration and discovery over large datasets of complex networks by exploiting the semantics of the relations in them. |
The CLAMS Platform at Work: Processing Audiovisual Data from the American Archive of Public Broadcasting (2022.lrec-1)
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| Challenge: | The Computational Linguistics Applications for Multimedia Services (CLAMS) platform provides access to computational content analysis tools for multimedia material. |
| Approach: | They describe the CLAMS platform as it is and its initial prototype implementation from 2019 . they use a common multi-modal representation language called MMIF to create a workflow . |
| Outcome: | The CLAMS platform is a new version of an initial prototype from 2019 . it can be used to add metadata to mass-digitized multimedia collections . the proposed version is based on the American Archive of Public Broadcasting data . |
The Coreference under Transformation Labeling Dataset: Entity Tracking in Procedural Texts Using Event Models (2023.findings-acl)
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| Challenge: | et al., 2023) show that entity coreference resolution is improved when events bring about changes in entities that are not reflected in text mentions. |
| Approach: | They propose to perform transformation-based entity linking prior to coreference relation identification to improve entity coreference. |
| Outcome: | The proposed model improves coreference resolution of entities mentioned under a process-oriented model of events. |