Superpal

🚀 SuperPAL模型

SuperPAL模型聚焦於摘要 - 源命題級對齊任務，提供了相關數據集和有監督的基線方法，為自然語言處理領域的研究提供了新的思路和方法。

🚀 快速開始

安裝依賴

使用以下代碼加載模型和分詞器：

from transformers import AutoTokenizer, AutoModelForSequenceClassification
  
tokenizer = AutoTokenizer.from_pretrained("biu-nlp/superpal")

model = AutoModelForSequenceClassification.from_pretrained("biu-nlp/superpal")

💻 使用示例

基礎用法

from transformers import AutoTokenizer, AutoModelForSequenceClassification
  
tokenizer = AutoTokenizer.from_pretrained("biu-nlp/superpal")

model = AutoModelForSequenceClassification.from_pretrained("biu-nlp/superpal")

📚 詳細文檔

論文信息

論文標題：Summary - Source Proposition - level Alignment: Task, Datasets and Supervised Baseline 作者：Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan 年份：2021 論文鏈接：PDF

原倉庫地址

原項目倉庫地址：here

引用信息

如果您覺得我們的工作有幫助，請按以下格式引用論文：

@inproceedings{ernst-etal-2021-summary,
  title = "Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline",
  author = "Ernst, Ori  and Shapira, Ori  and Pasunuru, Ramakanth  and Lepioshkin, Michael  and Goldberger, Jacob  and Bansal, Mohit  and Dagan, Ido", 
  booktitle = "Proceedings of the 25th Conference on Computational Natural Language Learning", 
  month = nov, 
  year = "2021", 
  publisher = "Association for Computational Linguistics", 
  url = "https://aclanthology.org/2021.conll-1.25", 
  pages = "310--322"
}