Topic: languange-model Goto Github
Some thing interesting about languange-model
Some thing interesting about languange-model
languange-model,Though language model text embeddings have revolutionized NLP research, their ability to capture high-level semantic information, such as relations between entities in text, is limited. In this paper, we propose a novel contrastive learning framework that trains sentence embeddings to encode the relations in a graph structure. Given a sentence (unstructured text) and its graph, we use contrastive learning to impose relation-related structure on the token level representations of the sentence obtained with a CharacterBERT (El Boukkouri et al., 2020) model. The resulting relation-aware sentence embeddings achieve state-of-the-art results on the relation extraction task using only a simple KNN classifier, thereby demonstrating the success of the proposed method. Additional visualization by a tSNE analysis shows the effectiveness of the learned representation space compared to baselines. Furthermore, we show that we can learn a different space for named entity recognition, again using a contrastive learning objective, and demonstrate how to successfully combine both representation spaces in an entity-relation task.
User: christos42
languange-model,To make and public coding for my project
User: phornsydeth
Home Page: https://github.com/PhornSydeth/DethCoding
languange-model,Spectrum is an AI that uses machine learning to generate Rap song lyrics
User: yigitgunduc
Home Page: https://spectrumapp.herokuapp.com/
languange-model,Simple Python Wrapper for SRILM with Python 2.x and 3.x Supported
User: zhaoyanpeng
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