📢Day 20/100: Overcoming Tokenization Challenges Tokenization is critical for NLP tasks like Named Entity Recognition.
Key steps: 1️⃣ Aligning tokens with Amharic text. 2️⃣ Preserving the relationship between tokens and their labels. 3️⃣ Using model-specific tokenizers (XLM-Roberta, mBERT).
💡 Takeaway: Tokenization errors can significantly impact the accuracy of entity recognition models.
📢Day 20/100: Overcoming Tokenization Challenges Tokenization is critical for NLP tasks like Named Entity Recognition.
Key steps: 1️⃣ Aligning tokens with Amharic text. 2️⃣ Preserving the relationship between tokens and their labels. 3️⃣ Using model-specific tokenizers (XLM-Roberta, mBERT).
💡 Takeaway: Tokenization errors can significantly impact the accuracy of entity recognition models.
Developing social channels based on exchanging a single message isn’t exactly new, of course. Back in 2014, the “Yo” app was launched with the sole purpose of enabling users to send each other the greeting “Yo.” Invite up to 200 users from your contacts to join your channel Image: Telegram. 1What is Telegram Channels? Telegram offers a powerful toolset that allows businesses to create and manage channels, groups, and bots to broadcast messages, engage in conversations, and offer reliable customer support via bots.
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