Papers by Jan-Christoph Klie
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation (C18-2)
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| Challenge: | INCEpTION is an annotation platform for interactive and semantic annotation . the platform is both generic and modular . |
| Approach: | INCEpTION is an annotation platform for interactive and semantic annotation . the platform incorporates machine learning capabilities which actively assist annotators . |
| Outcome: | INCEpTION is an open-source annotation platform for tasks including interactive and semantic annotation. |
Multimodal Frame Identification with Multilingual Evaluation (N18-1)
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| Challenge: | FrameNet Semantic Role Labeling aims to disambiguate situations around predicates using textual representations. |
| Approach: | They extend a frame identification task to leverage multimodal representations to improve FrameNet Semantic Role Labeling. |
| Outcome: | The proposed system outperforms its unimodal counterpart on the English frameNet and its German counterpart on IMAGINED words. |
From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains (2020.acl-main)
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| Challenge: | Existing approaches to disambiguate entity mentions in a text depend on training data. |
| Approach: | They propose a domain-agnostic approach to annotate entities using a KB-based approach. |
| Outcome: | The proposed approach outperforms existing methods in a simulation on difficult texts. |
Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform (D18-2)
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| Challenge: | Annotating entity mentions and linking them to a knowledge resource are essential tasks in many domains. |
| Approach: | a new tool integrates knowledge-supported search and entity linking into INCEpTION . the tool allows users to search the corpus and create cross-document coreferences . |
| Outcome: | a new tool integrates knowledge-supported search and entity linking into INCEpTION . the tool disambiguates mentions, introduces cross-document coreferences, and provides fast queries. |
Integrating INCEpTION into larger annotation processes (2024.emnlp-demo)
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| Challenge: | Annotation tools are increasingly only steps in a larger process into which they need to be integrated. |
| Approach: | They propose to adapt INCEpTION, a semantic annotation platform that offers intelligent assistance and knowledge management. |
| Outcome: | The proposed platform offers a range of APIs and can interact with external services such as authorization services, crowdsourcing platforms, terminology services or machine learning services. |
Lessons Learned from a Citizen Science Project for Natural Language Processing (2023.eacl-main)
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Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Şahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart De Castilho, Iryna Gurevych
| Challenge: | Annotations are expensive and difficult to obtain, which is why many NLP systems outsource their work to paid crowdworkers. |
| Approach: | They propose to use Citizen Science to re-annotate parts of a pre-existing crowdsourced dataset to gain high-quality annotations. |
| Outcome: | The proposed approach yields high-quality annotations and motivated volunteers, but requires consideration of scalability, participation over time, and legal and ethical issues. |