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Evaluating Semantic Linking Capabilities of Engineering-Specific Word Embeddings Across Languages

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Evaluating Semantic Linking Capabilities of Engineering-Specific Word Embeddings Across Languages

Hi there! This is the report of my guided research conducted during my Master's degree in Data Engineering and Analytics at TUM. A summary and more information can be found here. Enjoy!

Update

The results of this work have been published as a conference paper at the 4th International Conference on Management Science and Industrial Engineering!

@inproceedings{10.1145/3535782.3535835,
author = {Schopf, Tim and Weinberger, Peter and Kinkeldei, Thomas and Matthes, Florian},
title = {Towards Bilingual Word Embedding Models for Engineering: Evaluating Semantic Linking Capabilities of Engineering-Specific Word Embeddings Across Languages},
year = {2022},
isbn = {9781450395816},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3535782.3535835},
doi = {10.1145/3535782.3535835},
pages = {407–413},
numpages = {7},
location = {Chiang Mai, Thailand},
series = {MSIE 2022}
}

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