%0 Conference Paper %1 wangsadirdja2022wuedevils %A Wangsadirdja, Dirk %A Heinickel, Felix %A Trapp, Simon %A Zehe, Albin %A Kobs, Konstantin %A Hotho, Andreas %B Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) %C Seattle, United States %D 2022 %I Association for Computational Linguistics %K author:zehe mlnlprjak multilingual myown news semeval similarity %P 1235--1243 %T WueDevils at SemEval-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices %U https://aclanthology.org/2022.semeval-1.175 %X We present a system that creates pair-wise cosine and arccosine sentence similarity matrices using multilingual sentence embeddings obtained from pre-trained SBERT and Universal Sentence Encoder (USE) models respectively. For each news article sentence, it searches the most similar sentence from the other article and computes an average score. Further, a convolutional neural network calculates a total similarity score for the article pairs on these matrices. Finally, a random forest regressor merges the previous results to a final score that can optionally be extended with a publishing date score.

@inproceedings{wangsadirdja2022wuedevils, abstract = {We present a system that creates pair-wise cosine and arccosine sentence similarity matrices using multilingual sentence embeddings obtained from pre-trained SBERT and Universal Sentence Encoder (USE) models respectively. For each news article sentence, it searches the most similar sentence from the other article and computes an average score. Further, a convolutional neural network calculates a total similarity score for the article pairs on these matrices. Finally, a random forest regressor merges the previous results to a final score that can optionally be extended with a publishing date score.}, added-at = {2022-07-19T11:41:00.000+0200}, address = {Seattle, United States}, author = {Wangsadirdja, Dirk and Heinickel, Felix and Trapp, Simon and Zehe, Albin and Kobs, Konstantin and Hotho, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/28feb9047b0e06aa3b40b74bb20b6c45b/albinzehe}, booktitle = {Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)}, interhash = {21ebbf0d6a7201da1580440d18885e68}, intrahash = {8feb9047b0e06aa3b40b74bb20b6c45b}, keywords = {author:zehe mlnlprjak multilingual myown news semeval similarity}, month = jul, pages = {1235--1243}, publisher = {Association for Computational Linguistics}, timestamp = {2023-10-11T10:29:52.000+0200}, title = {{W}ue{D}evils at {S}em{E}val-2022 Task 8: Multilingual News Article Similarity via Pair-Wise Sentence Similarity Matrices}, url = {https://aclanthology.org/2022.semeval-1.175}, year = 2022 }