Information Extraction
shaoxiongji/knowledge-graphs
A collection of research on knowledge graphs
🏷️ Named Entity Recognition❓ Question Answering🔍 Search & Retrieval🧠 Natural Language Processing
JavaScriptno licenseupdated Oct 7, 2022
🏆 #1,451 overall#36 of 158 in Information Extraction
gaoisbest /NLP-Projects
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
$ git clone https://github.com/gaoisbest/NLP-Projects.gitStars
584
584
Forks
152
152
Language
OpenEdge ABL
License
None
Created
Jul 10, 2017
9.2 years old
Last push
Jan 11, 2021
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Anwarvic/Dan-Jurafsky--Chris-Manning--NLP
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
💖 Sentiment Analysis🏷️ Named Entity Recognition🗂️ Text Classification❓ Question Answering🔍 Search & Retrieval🧠 Natural Language Processing
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Information Extraction
naiveHobo/InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
🔍 Search & Retrieval
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Information Extraction
HarderThenHarder/transformers_tasks
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
🗂️ Text Classification🧠 Natural Language Processing
Jupyter Notebookno licenseupdated Sep 29, 2023
Information Extraction
yongzhuo/Macadam
Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
🏷️ Named Entity Recognition🗂️ Text Classification
PythonMITupdated Mar 24, 2023
Information Extraction
aws-samples/layout-aware-document-processing-and-retrieval-augmented-generation
Advanced document extraction and chunking techniques for retrieval augmented generation that is aware of the layout of documents. Increases knowledge retrieval accuracy and provides control for retrieved knowledge context management
🔍 Search & Retrieval
Jupyter NotebookMIT-0updated Dec 2, 2025
Data from GitHub · snapshot Sep 24, 2026