A Survey of Natural Language Question Answering System
1.Information Retrieval 資訊檢索
2.Information Extraction 資訊提取
3.named-entity recognition 命名實體識別
4.taxonomy 分類學 categorize 分類
5.QAS三大組成：information retrieval engine、query interpretation【解釋】 system、answer extraction
6.entropy 最大熵
7.QA approaches:linguistic approach、statistical approach、pattern matching approach
8.parse 解析
9.notation 符號
10.semantic 語義
11.on normal context 在正常情況下
12.qualitative 定性
相關文章
- 論文閱讀：《Deep Compositional Question Answering with Neural Module Networks》
- 論文閱讀：《Multimodal Graph Networks for Compositional Generalization in Visual Question Answering》
- 論文閱讀：《Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering》Symbol
- 論文閱讀-RankME: Reliable Human Ratings for Natural Language Generation
- 閱讀論文：《MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering》
- Stanford Natural Language Inference (SNLI)和Multi-Genre NLI Corpus(MultiNLI) 資料集
- 【自然語言處理】--視覺問答（Visual Question Answering，VQA）從初始到應用自然語言處理視覺
- System.InvalidProgramException:“Common Language Runtime detected an invalid program.”Exception
- [Javascript] Promise question with async awaitJavaScriptPromiseAI
- Diffusion model papers, survey, and taxonomy
- ENGL642 Research Skills Question
- [Paper Reading] KOSMOS: Language Is Not All You Need: Aligning Perception with Language Models
- As a reader --> AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models
- Daily-Interview-Question[Title-Cover]AIView
- JSnaughty: Recovering Clear, Natural Identifiers from Obfuscated JS NamesJSIDE
- This is a good question，初學者都犯暈！Go
- RMAN -- Frequently Asked Question (FAQ) (Doc ID 469777.1)
- Html language common symbolic entitiesHTMLSymbol
- R language notes | pipes: chainingAI
- Deep Robust Multi-Robot Re-localisation in Natural Environments
- Generating Diverse and Natural 3D Human Motions from Text3D
- Instruction和Question的區別和聯絡Struct
- Difference Between Arraylist And Vector : Core Java Interview Collection QuestionJavaView
- WordPress問答外掛DW Question Answer分享
- 【重要論文】The dictionary and the language learner
- monaco-editor 的 Language Services
- 死磕The Swift Programming Language——學Swift
- golang programming language study methods websocketGolangWeb
- .NET Core Common Language Runtime (CoreCLR)
- Google分析language垃圾資訊Go
- Swift之旅_Language Guide1SwiftGUIIDE
- Paper Reading:A Survey of Deep Learning-based Object DetectionObject
- TKDE 2017：A Comprehensive Survey of Graph Embedding: Problems, Techniques and ApplicationsAPP
- System
- Question | 一鍵登入是如何實現的？
- 論文解讀（Survey）《An Empirical Study of Graph Contrastive Learning》AST
- 【論文筆記】A Survey on Deep Learning for Named Entity Recognition筆記
- LISA: Reasoning Segmentation via Large Language ModelSegmentation