Sentence Similarity is the task of determining how similar two texts are. Sentence similarity models convert input texts into vectors (embeddings) that capture semantic information and calculate how close (similar) they are between them. This task is particularly useful for information retrieval and clustering/grouping.
About Sentence Similarity
https://youtu.be/VCZq5AkbNEU
Use Cases 🔍
Information Retrieval
You can extract information from documents using Sentence Similarity models. The first step is to rank documents using Passage Ranking models. You can then get to the top ranked document and search it with Sentence Similarity models by selecting the sentence that has the most similarity to the input query.https://huggingface.co/tasks/sentence-similarity
About Sentence Similarity
https://youtu.be/VCZq5AkbNEU
Use Cases 🔍
Information Retrieval
You can extract information from documents using Sentence Similarity models. The first step is to rank documents using Passage Ranking models. You can then get to the top ranked document and search it with Sentence Similarity models by selecting the sentence that has the most similarity to the input query.https://huggingface.co/tasks/sentence-similarity