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I have used BERT NextSentencePredictor to find similar sentences or similar news, However, It's super slow. Even on Tesla V100 which is the fastest GPU till now. It takes around 10secs for a query tit…
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What are sequence-to-sequence language models and how are they related to transformer models?
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Hi. I have already trained my BERT model and tested my responses with the entailment model.
But I didn't know how to test with other metrics, i.e., ``Semantic Similarity``, ``Word-level metrics``,…
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**Submitting author:** @ayuei (Vincent Nguyen)
**Repository:** https://github.com/Ayuei/DeBEIR
**Branch with paper.md** (empty if default branch): paper
**Version:** v0.0.1
**Editor:** @arfon
**Review…
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Follow up to https://github.com/factula/sumtool/issues/8
(1) replicate the textual entailment scores between gold standard (human generated) and articles in colab
(2) Think/implement mechanism to mov…
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**Describe the bug**
```
home/mayanksharma/nemo_gpt_fintuning.py:261 in │
│ …
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## Adding a Dataset
- **Name:** SciFact
- **Description:** *None provided*
- **Task:** SENT_CLASS|DOC_CLASS
- **Paper:** https://aclanthology.org/2020.emnlp-main.609/
- **Data:** https://github.com/al…
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@cesar-ilharco hi. I am Sayak, an ML Engineer from India.
Firstly, thanks to you and the entire team for putting together such a comprehensive tutorial. I had the chance to go through the deck in …
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- uid: teca__textual_entailment_catalan_dataset
- type: processed
- description:
- name: TECA: Textual Entailment Catalan dataset
- description: "Textual entailment (TE) in natural language proce…