Lihuchen
/

pearl_base

Feature Extraction

sentence-transformers

Phrase Representation

String Matching

Entity Retrieval

text-embeddings-inference

Inference Endpoints

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Lihuchen commited on Feb 19

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@@ -13,8 +13,8 @@ tags:
 [Lihu Chen](https://chenlihu.com), [Gaël Varoquaux](https://gael-varoquaux.info/), [Fabian M. Suchanek](https://suchanek.name/).
 <br> Accepted by EACL Findings 2024
-PEARL-base is finetuned on [E5-base](https://huggingface.co/intfloat/e5-base-v2),
-which can yield better representations for phrases and strings. <br>
 If you require semantic similarity computation for strings, our PEARL model might be a helpful tool.<br>
 It offers powerful embeddings suitable for tasks like string matching, entity retrieval, entity clustering, and fuzzy join.

 [Lihu Chen](https://chenlihu.com), [Gaël Varoquaux](https://gael-varoquaux.info/), [Fabian M. Suchanek](https://suchanek.name/).
 <br> Accepted by EACL Findings 2024
+PEARL-base is a variant of [E5-base](https://huggingface.co/intfloat/e5-base-v2) finetuned on our constructed context-free [dataset](https://zenodo.org/records/10676475) to yield better representations
+for phrases and strings. <br>
 If you require semantic similarity computation for strings, our PEARL model might be a helpful tool.<br>
 It offers powerful embeddings suitable for tasks like string matching, entity retrieval, entity clustering, and fuzzy join.