A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
HMTL is a Hierarchical Multi-Task Learning model which combines a set of four carefully selected semantic tasks. The model achieves state-of-the-art results on Named Entity Recognition, Entity Mention Detection and Relation Extraction. Using SentEval, we show that as we move from the bottom to the top layers of the model, the model tend to learn more complex semantic representation.
ArXiV: https://arxiv.org/abs/1811.06031
Github: https://github.com/huggingface/hmtl
#SOTA #NLP #MultiTask
HMTL is a Hierarchical Multi-Task Learning model which combines a set of four carefully selected semantic tasks. The model achieves state-of-the-art results on Named Entity Recognition, Entity Mention Detection and Relation Extraction. Using SentEval, we show that as we move from the bottom to the top layers of the model, the model tend to learn more complex semantic representation.
ArXiV: https://arxiv.org/abs/1811.06031
Github: https://github.com/huggingface/hmtl
#SOTA #NLP #MultiTask
GitHub
GitHub - huggingface/hmtl: πHMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasksβ¦
πHMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP - huggingface/hmtl
Learning a unified embeding for visual search at #Pinterest
How Pinterest created unified embeddings for images from different fields searching instead three different by use #multitask approach.
Link: https://blog.acolyer.org/2019/10/11/learning-a-unified-embedding-for-visual-search-at-pinterest/
#Search #CV #embeddings
How Pinterest created unified embeddings for images from different fields searching instead three different by use #multitask approach.
Link: https://blog.acolyer.org/2019/10/11/learning-a-unified-embedding-for-visual-search-at-pinterest/
#Search #CV #embeddings