Framework to train RE models
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Updated
May 3, 2026 - Python
Framework to train RE models
A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.
PyTorch-IE: State-of-the-art Information Extraction in PyTorch
A relation classification system using TF-IDF and Random Forest. It processes annotated text, predicts relationships between entities, and can infer entities when not marked. Supports top-k predictions and handles custom input sentences.
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification (ACL 2024)
[ACL23] This repository contains the code for our paper "MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset"
Argument classification with BERT plus contextual and structural features as text for ICONIP 2022.
Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
A set of Python codes for the classification of biomedical relations based on the MeSH keywords of PubMed scholarly publications
A repository for my Diploma Thesis; "Semantic communications framework with Transformer based models"
An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP 2023.
We classify the relation between head and tail entity using a Naive Bayes model based on bag-of-words (BoW) features.
Implementation of the link identification task in BERT.
Implemantation of a BERT cascade model
This repository contains the code of my solution for the SemEval-2022 Shared Task 10: Structured Sentiment Analysis.
For learning. Collecting techniques of each step from knowledge graph building processes.
Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
A PyTorch-based toolkit for natural language processing
code of Relation Classification via Multi-Level Attention CNNs
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