ruanchaves/elmo
Supporting code for the paper "Portuguese Language Models and Word Embeddings: Evaluating on Semantic Similarity Tasks".
This project helps evaluate how well different Portuguese language models and word embeddings understand the meaning of words and sentences. It takes various Portuguese language models (like ELMo or BERT) and word embedding sets as input. The output is a benchmark report showing how accurately each model performs on semantic similarity tasks, which helps researchers and practitioners compare their effectiveness for Portuguese natural language processing applications.
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Use this if you are a researcher or NLP practitioner who needs to compare the performance of different Portuguese language models and word embeddings on tasks requiring an understanding of semantic similarity.
Not ideal if you need a pre-trained, ready-to-use Portuguese language model for direct application without comparison or evaluation.
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Dec 08, 2022
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