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The idea of using the Universal Sentence Encoder to gather enough training data for CNN classification only makes sense if the documents that are analyzed might include relevant sentences.
If the col…
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# blog - 日本語Embeddingモデルのベンチマーク比較: OpenAIが圧倒的な精度でリード
日本語の埋め込みモデルを比較するベンチマークを作成し、OpenAIの精度が最も高く、他のモデルに比べて各指標で10%高いことが分かりました。また、他の埋め込みモデルの中で最も精度が高いのはTensorFlowのUniversal Sentence Encoderでした。
[https://…
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Hello everyone. I am having problems with the parameter ngram_vocab_args. I have a list of phrases that I have defined myself. It is saved in a txt file named ngram.txt. In this file, there is one phr…
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It would be really interesting to see graph connections based on a semantic relatedness threshold using embeddings from something like google's Universal Sentence Encoder.
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@LamDang j'ai commencé à checker le Universal Encoder Sentence
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I installed the models as per the directions in the README but they are not showing up in Spacy:
```$ python -m spacy validate
✔ Loaded compatibility table
====================== Installed models…
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Explore this area that reads PDF, reads he content, understand the context, helps with Question answering.
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## 0. Paper
@inproceedings{chidambaram-etal-2019-learning,
title = "Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model",
author = "Chidambaram, Muthu and
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a1da4 updated
4 years ago
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Hello,
Je crée cette issue pour lister les tâches techniques à faire pour livrer l'algorithme final. On peut en discuter et faire évoluer cette liste au fur et à mesure:
# Tâches génériques
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adding issue here per twitter conversation with @skeydan : working with the universal sentence encoder from within R. got it working with the help from @skeydan and the example here. it is a naive imp…