Wang et al., 2023 - Google Patents

Interactive natural language processing

Wang et al., 2023

View PDF
Document ID
16773466900210088797
Author
Wang Z
Zhang G
Yang K
Shi N
Zhou W
Hao S
Xiong G
Li Y
Sim M
Chen X
Zhu Q
Yang Z
Nik A
Liu Q
Lin C
Wang S
Liu R
Chen W
Xu K
Liu D
Guo Y
Fu J
Publication year
Publication venue
arXiv preprint arXiv:2305.13246

External Links

Snippet

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers language models as …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2705—Parsing
    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/21—Text processing
    • G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines

Similar Documents

Publication Publication Date Title
Wang et al. Interactive natural language processing
Uc-Cetina et al. Survey on reinforcement learning for language processing
Xu et al. A survey on knowledge distillation of large language models
Xie et al. Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments
Abdel-Nabi et al. Deep learning-based question answering: a survey
Chen et al. Knowledge graphs meet multi-modal learning: A comprehensive survey
CN116594768A (en) Large-model-oriented universal tool collaboration and refinement learning system and method
Wang et al. Open-world story generation with structured knowledge enhancement: A comprehensive survey
Kondurkar et al. Modern applications with a focus on training chatgpt and gpt models: Exploring generative ai and nlp
Wang et al. A survey of the evolution of language model-based dialogue systems
Park et al. Visual language integration: A survey and open challenges
Aakur et al. Leveraging symbolic knowledge bases for commonsense natural language inference using pattern theory
Johnsen Large Language Models (LLMs)
Shao et al. Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges
Chaurasia et al. Conversational AI Unleashed: A Comprehensive Review of NLP-Powered Chatbot Platforms
Li et al. A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
Acharya et al. A survey on symbolic knowledge distillation of large language models
Thakur et al. Artificial Intelligence and Large Language Models: An Introduction to the Technological Future
Weng Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
Amin DeepKAF: a knowledge intensive framework for heterogeneous case-based reasoning in textual domains
Habitamu Designing and Implementing Adaptive Bot Model to Consult Ethiopian Published Laws Using Ensemble Architecture with Rules Integrated
Chen et al. A Comprehensive Survey of Cognitive Graphs: Techniques, Applications, Challenges
Gur Learning Natural Language Interfaces using Deep Neural Networks
Moiseeva Statistical natural language processing methods for intelligent process automation
Jamal Automatic Construction of Ontology with Public-Domain Datasets for Personalized Tutoring with ECA