FPFZZS

FPFZZS's Stars

• bat67/pytorch-tutorials-examples-and-books

  PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

  Language:Jupyter Notebook975263

• JulianFrattini/cira

  Python package for functions around the causality in requirements artifacts (CiRA) initiative.

  Language:Python101

• oyarsa/event_extraction

  Extract events from text: cause, effect and relation

  Language:Python2

• springto/Fine-Grained-Causality-Extraction-From-NL-Requirements

  Language:Python21

• YangLinyi/Fine-grained-Causal-Reasoning

  We introduce a novel fine-grained causal reasoning dataset and present a series of novel tasks in NLP, from causality detection to event causality extraction and Causal QA. Our dataset contains human annotations of 25K cause-effect event pairs and 24K question-answering pairs within multi-sentence samples.

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• Kirawang23/PatentCausality

  The code and data for Discovering New Applications: Cross-Domain Exploration of Patent Documents using Causal Extraction and Similarity Analysis

  Language:Python2

• pnnl/NUKELM

  Language:Jupyter Notebook3

• aniksh/causal-spert

  Evaluation of SpERT model for causal relation extraction

  Language:Python2

• ranarhall/CausalityExtraction

  Language:Python2

• heng840/All_pipeline_Information_Extraction

  This project is an information extraction tool that includes four parts: named entity recognition, event extraction, event causality extraction, and event factual discrimination

  Language:Python8

• tdieu29/Causality_Extraction_project

  Language:Python2

• nayakt/CEPN

  Code for causality extraction.

  Language:Python133

• fischJan/CiRA

  System behavior is often expressed by causal relations in requirements (e.g. if event 1 then event 2). Automatically extracting this embedded causal knowledge supports not only reasoning about requirements dependencies, but also various automated engineering tasks such as seamless derivation of test cases. However, causality extraction from natural language (NL) is still an open research challenge as existing approaches fail to extract causality with reasonable performance.

  Language:Jupyter Notebook103

• fwonggh/Bthub

  Bthub最新地址发布页

  Language:HTML1.1k69