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@@ -5,19 +5,36 @@ Here we list all publications related to UCE, which you can also refer to when c
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## 2025
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!!! tip "Best Demo Paper Award at NAACL 2025"
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We are delighted that our paper *"Towards Unified, Dynamic, and Annotation-based Visualizations and Exploration of Annotated Big Data Corpora with the Help of Unified Corpus Explorer"* has been awarded the **Best Demo Paper** at this year’s **annual conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025)**.
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We are delighted that our paper *"Towards Unified, Dynamic, and Annotation-based Visualizations and Exploration of Annotated Big Data Corpora with the Help of Unified Corpus Explorer"* has been awarded the **Best Demo Paper** at this year’s **annual conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025)**. [![Paper](http://img.shields.io/badge/paper-NAACL--2025-fb44ce.svg)](https://aclanthology.org/2025.naacl-demo.42.pdf)
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```bib
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@inproceedings{Boenisch:et:al:2025,
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title = {Towards Unified, Dynamic and Annotation-based Visualisations and
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Exploration of Annotated Big Data Corpora with the Help of Unified
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Corpus Explorer},
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author = {Kevin B{\"o}nisch and Giuseppe Abrami and Alexander Mehler},
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booktitle = {2025 Annual Conference of the North American Chapter of the Association
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for Computational Linguistics -- System Demonstration Track},
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title = {Towards Unified, Dynamic and Annotation-based Visualisations and Exploration
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of Annotated Big Data Corpora with the Help of Unified Corpus Explorer},
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author = {B{\"o}nisch, Kevin and Abrami, Giuseppe and Mehler, Alexander},
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editor = {Dziri, Nouha and Ren, Sean (Xiang) and Diao, Shizhe},
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booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association
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for Computational Linguistics: Human Language Technologies (System Demonstrations)},
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year = {2025},
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keywords = {uce,biofid},
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video = {https://www.youtube.com/watch?v=f3kB9pNPjsk},
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note = {accepted, Best Demo Award}
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address = {Albuquerque, New Mexico},
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publisher = {Association for Computational Linguistics},
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url = {https://aclanthology.org/2025.naacl-demo.42/},
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pages = {522--534},
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isbn = {979-8-89176-191-9},
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abstract = {The annotation and exploration of large text corpora, both automatic
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and manual, presents significant challenges across multiple disciplines,
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including linguistics, digital humanities, biology, and legal
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science. These challenges are exacerbated by the heterogeneity
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of processing methods, which complicates corpus visualization,
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interaction, and integration. To address these issues, we introduce
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the Unified Corpus Explorer (UCE), a standardized, dockerized,
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open-source and dynamic Natural Language Processing (NLP) application
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designed for flexible and scalable corpus navigation. Herein,
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UCE utilizes the UIMA format for NLP annotations as a standardized
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input, constructing interfaces and features around those annotations
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while dynamically adapting to the corpora and their extracted
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annotations. We evaluate UCE based on a user study and demonstrate
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its versatility as a corpus explorer based on generative AI.},
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note = {Best Demo Award}
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}
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```
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```

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