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BERTScore: Evaluating Text Generation with BERT (Paper Summary)
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#bert #textgeneration #evaluation
⏩ Abstract: We propose BERTScore, an automatic evaluation metric for text generation. Analogously to common metrics, BERTScore computes a similarity score for each token in the candidate sentence with each token in the reference sentence. However, instead of exact matches, we compute token similarity using contextual embeddings. We evaluate using the outputs of 363 machine translation and image captioning systems. BERTScore correlates better with human judgments and provides stronger model selection performance than existing metrics. Finally, we use an adversarial paraphrase detection task to show that BERTScore is more robust to challenging examples when compared to existing metrics.
⏩ Paper Title: BERTScore: Evaluating Text Generation with BERT
⏩ Author: Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi
⏩ Organisation: Cornell University, ASAPP Inc
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About Me:
I am Prakhar Mishra and this channel is my passion project. I am currently pursuing my MS (by research) in Data Science. I have an industry work-ex of 3+ years in the field of Data Science and Machine Learning with a particular focus on Natural Language Processing (NLP).
⏩ Abstract: We propose BERTScore, an automatic evaluation metric for text generation. Analogously to common metrics, BERTScore computes a similarity score for each token in the candidate sentence with each token in the reference sentence. However, instead of exact matches, we compute token similarity using contextual embeddings. We evaluate using the outputs of 363 machine translation and image captioning systems. BERTScore correlates better with human judgments and provides stronger model selection performance than existing metrics. Finally, we use an adversarial paraphrase detection task to show that BERTScore is more robust to challenging examples when compared to existing metrics.
⏩ Paper Title: BERTScore: Evaluating Text Generation with BERT
⏩ Author: Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, Yoav Artzi
⏩ Organisation: Cornell University, ASAPP Inc
*********************************************
If you want to support me financially which totally optional and voluntary :) ❤️
*********************************************
⏩ IMPORTANT LINKS
*********************************************
*********************************************
Tools I use for making videos :)
#techviz #datascienceguy #bertscore #naturallanguageprocessing #transformers #artificialintelligence
About Me:
I am Prakhar Mishra and this channel is my passion project. I am currently pursuing my MS (by research) in Data Science. I have an industry work-ex of 3+ years in the field of Data Science and Machine Learning with a particular focus on Natural Language Processing (NLP).
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