-
Inner Mongolia Normal University
Stars
Code for using and evaluating SpanBERT.
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
A PyTorch implementation of GraphRel
Release for ECAI 2020 paper "Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy"
2025年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
⏰ AI conference deadline countdowns
Multi-head attention in PyTorch
NLP: Relation extraction with position-aware self-attention transformer
A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
PyTorch implementation of the position-aware attention model for relation extraction
Source code for paper: "Learning Dual Retrieval Module for Semi-supervised Relation Extraction"
Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
Reference implementation of a two-level RCN model
Keras Attention Layer (Luong and Bahdanau scores).
Convolutional Neural Networks for Sentence Classification in Keras
Large-scale Exploration of Neural Relation Classification Architectures
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Code for the paper "Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning" http://arxiv.org/abs/1603.07954
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)