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2022

MarkBERT

2022-04-23 •
Feeling
•
  • AI
  • BERT
  • MarkBERT
  • NER
  • NLP
  • RWD

预训练模型与传统方法在排序上有啥不同?

2022-04-23 •
Feeling
•
  • AI
  • BM25
  • CE BERT
  • NLP
  • Pretrain
  • Rank

量化NLM模型的记忆力

2022-04-15 •
Feeling
•
  • AI
  • NLM
  • NLP
  • PLM

NLP预训练模型的不可能三角

2022-04-15 •
Feeling
•
  • AI
  • Impossible-Triangle
  • NLP
  • PLM

句子表征综述

2022-03-27 •
Thinking
•
  • AI
  • NLP
  • Sentence Representation
2021

浅析文本分类——情感分析与自然语言处理

2021-10-27 •
Coding
•
  • AI
  • Classification
  • NLP
  • Senta
  • SentimentAnalysis
  • Text Classification

TensorBay 指南

2021-09-21 •
Coding
•
  • AI
  • NLP
  • TensorBay
  • Tensorflow
  • TextCNN

对NLP预训练模型的思考

2021-06-10 •
Thinking
•
  • AI
  • NLP
  • Pretrain
  • Representation

AI 工程师养成记(上)

2021-02-19 •
Thinking
•
  • AI
  • Skill
2020

NLP 表征的历史与未来

2020-12-12 •
Thinking
•
  • AI
  • NLP
  • Representation

分类与 AI

2020-11-28 •
Thinking
•
  • AI
  • Classification

Metrics

2020-09-15 •
Coding
•
  • AI
  • AUC
  • Accuracy
  • KS
  • Machine Learning
  • P-R
  • Precision
  • RMSE
  • ROC
  • Recall
  • WOE

AI 小课堂:Activation Function

2020-07-05 •
Coding
•
  • AI
  • Activation
  • GELU
  • RELU
  • Sigmoid
  • Softmax
  • TanH

QA 小课堂:Introduction

2020-07-05 •
Coding
•
  • AI
  • Quant

中文分词系列一:思考分词

2020-05-13 •
Thinking
•
  • AI
  • NLP
  • Segmentation

Encoder-Decoder Models Attention and Contextual Embedding Note (SLP Ch10)

2020-01-23 •
Feeling
•
  • AI
  • NLP
2019

ChatBot 设计方案

2019-07-20 •
Thinking
•
  • AI
  • ChatBot
  • NLG
  • NLP
  • NLU
  • Probabilistic Model
  • knowledge Graph

Statistical Parsing Note (SLP Ch14)

2019-07-17 •
Feeling
•
  • AI
  • CCG
  • Collins Parser
  • Cross-brackets
  • Formal Grammars
  • Garden-path
  • Lexicalized CFG
  • NLP
  • PCCG
  • PCFG
  • SCFG
  • Supertagging

Syntactic Parsing Note (SLP Ch13)

2019-07-08 •
Feeling
•
  • AI
  • CKY
  • CYK
  • Chunking
  • Formal Grammars
  • NLP
  • Partial Parsing

Formal Grammars of English Note (SLP Ch12)

2019-06-21 •
Feeling
•
  • AI
  • CCG
  • CFG
  • Context-Free Grammars
  • Formal Grammars
  • Lexicalized Grammars
  • NLP
  • Phrase Structure Grammars
  • Treebank

Sequence Processing with Recurrent Networks Note (SLP Ch09)

2019-06-17 •
Feeling
•
  • AI
  • GRU
  • LSTM
  • NLP
  • RNN
  • SRN

Part-of-Speech Tagging Note (SLP Ch08)

2019-06-11 •
Feeling
•
  • AI
  • Beam Search
  • Decoding
  • HMM
  • MEMM
  • NLP
  • PoS
  • Tagging
  • Viterbi

Neural Networks and Neural Language Models Note (SLP Ch07)

2019-05-31 •
Feeling
•
  • AI
  • DNN
  • Embeddings
  • LM
  • NLP

Vector Semantics Note (SLP Ch06)

2019-05-16 •
Feeling
•
  • AI
  • Cosine
  • Embeddings
  • Lexical Semantics
  • NLP
  • PPMI
  • TF-IDF
  • Vector Semantics
  • Word2vec

Logistic Regression Note (SLP Ch05)

2019-05-08 •
Feeling
•
  • AI
  • Cross Entropy
  • Gradient Descent
  • Logistic Regression
  • NLP
  • SGD

Naive Bayes and Sentiment Classification Note (SLP Ch04)

2019-05-05 •
Feeling
•
  • AI
  • Evaluation
  • F1
  • NLP
  • Naive Bayes
  • Sentiment Classification
  • Test

Regular Expressions, Text Normalization, and Edit Distance Note (SLP Ch02)

2019-04-22 •
Feeling
•
  • AI
  • Edit Distance
  • NLP
  • Reqular Expressions
  • Text Normalization

Information Extraction Note (SLP Ch18)

2019-04-09 •
Feeling
•
  • AI
  • IE
  • Information Extraction
  • NLP

自然语言计算机形式分析的理论与方法笔记(Ch18)

2019-04-08 •
Feeling
•
  • AI
  • NLP
  • Philosophy

《纳博科夫最喜欢的词》读书笔记与思考

2019-03-31 •
Thinking
•
  • AI
  • Computational Linguistics
  • NLP
  • Style

自然语言计算机形式分析的理论与方法笔记(Ch15)

2019-03-29 •
Feeling
•
  • AI
  • Automatic Speech Processing
  • NLP

自然语言计算机形式分析的理论与方法笔记(Ch14)

2019-03-22 •
Feeling
•
  • AI
  • HMM
  • Markov
  • NLP

自然语言计算机形式分析的理论与方法笔记(Ch13)

2019-03-15 •
Feeling
•
  • AI
  • NLP
  • Ngram
  • Smoothing

自然语言计算机形式分析的理论与方法笔记(Ch12)

2019-03-11 •
Feeling
•
  • AI
  • Backward
  • Bayes
  • FSM
  • Forward
  • Minimum Edit Distance
  • NLP
  • Spell Check
  • Viterbi

自然语言计算机形式分析的理论与方法笔记(Ch11)

2019-03-01 •
Feeling
•
  • AI
  • NLP
  • Probabilistic Grammar

自然语言计算机形式分析的理论与方法笔记(Ch10)

2019-02-27 •
Feeling
•
  • AI
  • NLP
  • Pragmatic Automatic Processing

自然语言计算机形式分析的理论与方法笔记(Ch09)

2019-02-21 •
Feeling
•
  • AI
  • Function Syntax
  • NLP

自然语言计算机形式分析的理论与方法笔记(Ch08)

2019-02-15 •
Feeling
•
  • AI
  • NLP
  • Semantic Automatic Processing

自然语言计算机形式分析的理论与方法笔记(Ch07)

2019-01-31 •
Feeling
•
  • AI
  • Lexicalism
  • NLP

自然语言计算机形式分析的理论与方法笔记(Ch06)

2019-01-18 •
Feeling
•
  • AI
  • Grid Grammar
  • NLP

自然语言计算机形式分析的理论与方法笔记(Ch05)

2019-01-15 •
Feeling
•
  • AI
  • Dependence
  • NLP
  • Valence

自然语言计算机形式分析的理论与方法笔记(Ch04)

2019-01-09 •
Feeling
•
  • AI
  • NLP
  • Unity Operation
2018

自然语言计算机形式分析的理论与方法笔记(Ch03)

2018-12-22 •
Feeling
•
  • AI
  • NLP
  • Phrase Structure Grammar

自然语言计算机形式分析的理论与方法笔记(Ch02)

2018-10-11 •
Feeling
•
  • AI
  • Entropy
  • NLP
  • Zipf

西蒙《人工科学》读书笔记

2018-09-30 •
Feeling
•
  • AI
  • Economics
  • Simon

自然语言计算机形式分析的理论与方法笔记(Ch01)

2018-09-19 •
Feeling
•
  • AI
  • NLP
  • Orientation

自然语言计算机形式分析的理论与方法笔记(Ch16)

2018-09-05 •
Feeling
•
  • AI
  • Machine Translation
  • NLP

自然语言计算机形式分析的理论与方法笔记(Ch17)

2018-09-05 •
Feeling
•
  • AI
  • Evaluation
  • NLP

NG CNN 笔记

2018-08-14 •
Feeling
•
  • AI
  • CNN
  • DeepLearning

NLP 与 AI

2018-07-22 •
Thinking
•
  • AI
  • NLP

“心有麟熙”《强化学习炼金术》系列笔记

2018-05-07 •
Coding
•
  • AI
  • Reinforcement Learning

机器学习概念

2018-04-22 •
Feeling
•
  • AI
  • Machine Learning
  • ZhouZhihua

人工智能哲学笔记

2018-04-07 •
Feeling
•
  • AI
  • Philosophy

Gan 原理、证明与实现

2018-03-26 •
Coding
•
  • AI
  • DeepLearning
  • Gan
2017

Language Model Note (SLP Ch03)

2017-10-14 •
Feeling
•
  • AI
  • LM
  • Language Model
  • NLP
  • Ngram
  • Smoothing

语言、AI、情感

2017-09-07 •
Thinking
•
  • AI
  • NLP
2016

《与机器人共舞》读后感兼谈 AI 与 IA

2016-03-31 •
Thinking
•
  • AI
  • Machine

Categories

  • Coding69
  • Feeling95
  • Thinking20

Music

Recents

  • MarkBERT
  • 预训练模型与传统方法在排序上有啥不同?
  • 量化NLM模型的记忆力
  • NLP预训练模型的不可能三角
  • Training Data is More Valuable than You Think

Tag Cloud

AE AI ALBERT AR AUC Accuracy Activation Algorithm Array Arrow Attention Automatic Speech Processing Automation BERT BM25 BPE Backtracking Backward Bahdanau Attention Bart Bayes Beam Search Bert-Flow Bi-LSTM Biasing Binary Search Blending Bridge Business C C4 CCG CE BERT CFG CKY CNN CRF CS CYK Calculus Camera Catalan ChatBot Chi2 Chunking Classification Cognition Collaborative Filtering Collins Parser Computational Linguistics Computer Computer Science Confusing Labels Context-Free Grammars Contrastive-Learning Coordinate Ascent Cosine Cosine Similarity Cross Entropy Cross-brackets Ctrl Culture DA DB DNN DP Data Augmentation Data Clearing Data Enhancement Data Preprocess Data Science Data Structure Database DeBERTa Debiasing Decoder Decoding Deep DeepGraph DeepLearning Dependence Diary Disentangled Attention DistilBERT Distillation Django Docker Docker-Compose Dockerfile Dropout Dynamic-Mask EDA EMD ERNIE Economics Edit Distance Efficient-DeepLearning Elasticsearch Electra Elixir Ellipsis Embedding Embeddings Encoder Entropy Evaluation ExT5 F1 FDW FSM Faith Feature Engineering Feature-based Few-Shot Fine-tuning Formal Grammars Forward Full-Text-Search Function Syntax Funk MF Funnel Transformer GBTD GELU GPT-2 GPU GRU GSG Gan Garden-path Git Glow Graceful Shutdown Gradient Descent Graph GraphQL Grid Grammar HMM Hard-SVM Hinge Loss Hope Host-only IE IQR Imbalance Data Impossible-Triangle Industry Information Extraction Information Theory Isolation Forest ItemCF Jaccard Java Jax Job Jupyter KKT KS Kernel Kernel Function Kernel Method Keyword Knowledge Graph LM LOF LR LSTM Language Model Lexical Semantics Lexicalism Lexicalized CFG Lexicalized Grammars Linear Algebra Linear Sturcture Linked List LinkedList Linux Logistic Regression Lucene Luong Attention MEMM MF MTL Machine Machine Learning Machine Translation Manacher Managemnt MarkBERT Markov Materialized Views Math Matplotlib Matrix Factorization Median Meta Learning Metric Minimum Edit Distance Minkowski Model Evaluation Module Multi-Head Attention Multitask Multiway Tree NAT NER NLG NLM NLP NLU NMT Naive Bayes Neo4j Network Ngram Normalizing Flow NumPy Numba Numpy Occupation Orientation P-R PCCG PCFG PEGASUS PLM PPMI PTM PageRank Palindromic Pandarallel Pandas Partial Parsing Pearson Philosophy Phrase Structure Grammar Phrase Structure Grammars PoS Polars Pooling Position-Encoding Postgres Pragmatic Automatic Processing Pre-Trained Pre-Training Pre-training Precision Pretrain Pretrained Pretraining Probabilistic Grammar Probabilistic Model Promote Prompt ProtoBERT Pruning Psychology PyPI Python QA Quant Quantization Query Queue R-Drop RELU RFE RMSE RNN ROC RWD Rank RaspberryPi Raspberrypi Recall Recommendation Recursion Reformer Regex Regular Expression Reinforcement Learning Relationship Extraction Representation Reqular Expressions Retrieving RoBERTa Rotated Sorted Array Rust SCFG SGD SMO SQL SRN SVD++ SVM Seaborn Search Segmentation Self-Attention Semantic Automatic Processing Semantic Similarity Senta Sentence Representation Sentence Similarity Sentence-BERT Sentiment Classification SentimentAnalysis Siamese Sigmoid SimCSE Similarity Simon Simpson Paradox Skill Slide Smoothing Soft-SVM Softmax Sort Spell Check SqueezeBERT Stack Stacking Statistics Stirling StratifiedKFold String Style Substring Summarization Supertagging Swap System T5 TF-IDF Tagging TanH TensorBay Tensorflow Test Text Classification Text Generation Text Normalization TextCNN TextRank Thought Transformer Transformer-XL Tree Treebank Tuning Tutorial Ubuntu UniLM Unity Operation Unix UserCF Vagrant Valence Vector Semantics Virtual Network VirtualBox Visualization Viterbi Vocabulary Learning Voting WOE Web Server Multithreaded Server Wide Word2vec Work XLNet Z-Score Zero-shot ZhouZhihua Zipf binning few-shot ffmpeg jpype knowledge Graph motion node2vec ssh str vlc

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