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Subtopic of natural language processing in artificial intelligence
Natural language understanding (NLU) or natural language interpretation (NLI) is a subset of natural language processing in artificial intelligence that
Natural language understanding
Natural_language_understanding
Processing of natural language by a computer
recognition, text classification, natural language understanding, and natural language generation. Natural language processing has its roots in the 1950s
Natural_language_processing
Series of language models developed by Google AI
state-of-the-art performance on a number of natural language understanding tasks: GLUE (General Language Understanding Evaluation) task set (consisting of 9
BERT_(language_model)
Generation of text in natural languages
Natural language generation (NLG) is a software process that produces natural language output. A widely cited survey of NLG methods describes NLG as "the
Natural_language_generation
American artificial intelligence company
develops an AI platform, designed for large enterprises, that uses natural language understanding (NLU), probabilistic machine learning, and automation to resolve
Moveworks
Symbolic cognitive architecture
humans, such as decision making, problem solving, planning, and natural-language understanding. It is both a theory of what cognition is and a computational
Soar_(cognitive_architecture)
Italian-American computer scientist
natural language understanding, and spoken dialogue systems over more than four decades. He has been an active contributor to speech and language research
Roberto_Pieraccini
Language as naturally spoken by humans
A natural language or ordinary language is any spoken language or signed language used organically in a human community, first emerging without conscious
Natural_language
Standardized AI performance test
A language model benchmark is a standardized test designed to evaluate the performance of language models on various natural language processing tasks
Language_model_benchmark
Overview of and topical guide to natural language processing
Natural language processing is computer activity in which computers are entailed to analyze, understand, alter, or generate natural language. This includes
Outline of natural language processing
Outline_of_natural_language_processing
Type of large language model
toxicity. These models are typically tested on tasks such as natural language understanding, reasoning, answering queries, and code generation. Sometimes
Generative pre-trained transformer
Generative_pre-trained_transformer
Natural language understanding model
intelligence, conceptual dependency (or CD) theory is a model of natural language understanding. Roger Schank at Stanford University introduced the model in
Conceptual_dependency
Term describing difficult problems in AI
problems supposed to be AI-complete included computer vision, natural language understanding, and dealing with unexpected circumstances while solving any
AI-complete
2018 text-generating language model
in 2017. In June 2018, OpenAI released a paper titled "Improving Language Understanding by Generative Pre-Training", in which they introduced that initial
GPT-1
Computer program for understanding natural language
SHRDLU is an early natural-language understanding computer program that was developed by Terry Winograd at MIT in 1968–1970. In the program, the user carries
SHRDLU
Topics referred to by the same term
an abstraction or object. Understanding may also refer to: Natural language understanding Query understanding Understanding (Kant), a concept in Kantian
Understanding (disambiguation)
Understanding_(disambiguation)
Analysing a string of symbols, according to the rules of a formal grammar
as basic to the use and understanding of written language.[citation needed] In some machine translation and natural language processing systems, written
Parsing
Ability to think about and use concepts to deal adequately with a subject
looked past a definition of knowledge or understanding and looked at how the words were used in natural language, identifying relevant features in context
Understanding
Search engine processing step
keywords. Query understanding methods generally take place before the search engine retrieves and ranks results. It is related to natural language processing
Query_understanding
Type of computer human interface
challenges to understanding wide varieties of ambiguous input. Natural-language interfaces are an active area of study in the field of natural-language processing
Natural-language user interface
Natural-language_user_interface
Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. node Is
Glossary_of_computer_science
Linguistic theory of semantic description
Applications of NSM have also been proposed for natural-language processing, natural-language understanding and artificial intelligence. Ghil'ad Zuckermann
Natural_semantic_metalanguage
Not-for-profit research institute organisation
performance; computational biology; human-machine communication & natural language understanding; intentions, beliefs & trust; knowledge discovery, data science
Florida Institute for Human and Machine Cognition
Florida_Institute_for_Human_and_Machine_Cognition
Grammar model
'Undergoer'. RRG's practical approach to language is demonstrated in the multilingual Natural Language Understanding (NLU) system of cognitive scientist John
Role_and_reference_grammar
Use of computational tools for the study of linguistics
interdisciplinary field concerned with the computational modelling of natural language, as well as the study of appropriate computational approaches to linguistic
Computational_linguistics
Solutions and which runs on Android and iOS. The application uses natural language understanding to answer a user's questions on a variety of topics, make recommendations
Lyra_(virtual_assistant)
Computer program acting for a user
interaction environments) may possess human-like qualities such as natural language understanding and speech, personality or embody humanoid form (see Asimo)
Software_agent
Framework for exploring meaning
representation theories have been used to implement semantic parsers and natural language understanding systems. DRT uses discourse representation structures (DRS)
Discourse representation theory
Discourse_representation_theory
Type of machine learning model
A large language model (LLM) is an AI model (typically a neural network) trained on a vast amount of text for natural language processing tasks, especially
Large_language_model
American computer scientist and linguist (born 1950)
representation, commonsense reasoning, and natural language understanding, believing that "deep language understanding can only currently be achieved by significant
James F. Allen (computer scientist)
James_F._Allen_(computer_scientist)
American scientist (1946–2023)
pioneered conceptual dependency theory (within the context of natural language understanding) and case-based reasoning, both of which challenged cognitivist
Roger_Schank
Financial practice supporting a contract's value
replacing traditional scorecards and some human underwriters. Natural language understanding allows the consideration of more sources of information to assess
Underwriting
Semantic representation language
the extension to novel tasks such as machine translation and natural language understanding. The modern (post-2010) AMR format preserves the syntax and
Abstract Meaning Representation
Abstract_Meaning_Representation
model – Retrieval-augmented generation – Natural language user interface – Natural language understanding – Machine translation – Statistical semantics –
Outline of artificial intelligence
Outline_of_artificial_intelligence
the main problem of language understanding. As an AI-complete environment, WSD is a core problem of natural language understanding. AI approaches that
Semantic decomposition (natural language processing)
Semantic_decomposition_(natural_language_processing)
The history of natural language processing describes the advancements of natural language processing. There is some overlap with the history of machine
History of natural language processing
History_of_natural_language_processing
Machine learning technique
various domains of natural language processing (NLP), such as conversational agents, text summarization, and natural language understanding. Ordinary reinforcement
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Topics referred to by the same term
identification Language identification, the problem of identifying which natural language given content is in Natural language understanding, the parsing
Recognition
American AI company
speech recognition (ASR), neural machine translation (MT), natural-language understanding (NLU) and neural speech synthesis. AppTek's Head of Science
Apptek
Canadian technology company
Rowling’s Harry Potter and the Philosopher’s Stone. Maluuba's natural language understanding technology is used by several consumer electronic brands for
Maluuba
Semantic search and natural language understanding technology company
NTENT is a semantic search and natural language understanding technology company based in New York City. It was founded in 2010 as a result of a merger
NTENT
American research and development company
in Natural Language Processing at BBN Laboratories in the Strategic Computing Program", 1986. [1] R. Weischedel, "Natural-language understanding at BBN"
RTX_BBN_Technologies
Sequence of words formed by specific rules
patterns. Formal language theory sprang out of linguistics, as a way of understanding the syntactic regularities of natural languages. In the 17th century
Formal_language
Internet search using a voice command
recognition (ASR) for input, but it can also include natural language understanding for natural spoken search queries such as "What's the population for
Voice_search
information processing, word segmentation, proper noun recognition, natural language understanding and generation, corpus linguistics, and machine translation
Chinese computational linguistics
Chinese_computational_linguistics
Type of speech act
In linguistics and in particular in natural language understanding, a dialog act can be interpreted as the atomic units of a conversation, more fine-grained
Dialog_act
Programming environment
(natural) languages such as speech recognition, natural-language understanding, and natural-language generation. Computer vision, dealing with how computers can
Programming_domain
Narasimhan, Karthik; Salimans, Tim; Sutskever, Ilya (2018). Improving Language Understanding by Generative Pre-Training (PDF) (Report). OpenAI. Devlin, Jacob;
Timeline of artificial intelligence
Timeline_of_artificial_intelligence
that natural language understanding and generation may be provided for SNePS-based agents. SNePS has been used for a variety of KRR tasks, for natural language
SNePS
Turkish computer scientist
computer science, quantum computing, artificial intelligence and natural language understanding. A.C.C. Say, S. Kuru "Qualitative system identification: deriving
Cem_Say
Programming paradigm based on formal logic
Winograd. Winograd used Micro-Planner to implement the landmark, natural-language understanding program SHRDLU. For the sake of efficiency, Planner used a backtracking
Logic_programming
Statistical model of language
A language model is a computational model that predicts sequences in natural language. Language models are useful for a variety of tasks, including speech
Language_model
Saudi Arabian artificial intelligence company
June 2026. "Middle East AI firm Mozn raises $10m to enhance Natural Language Understanding engine". Arab News. 4 February 2022. Retrieved 19 June 2026
Mozn.ai
Approach to language processing in Computer Science
approach used in computer science as a semantic component of natural language understanding. Stochastic models generally use the definition of segments
Stochastic_semantic_analysis
American computer scientist
work has influenced both theoretical and applied research in natural language understanding and machine learning systems. Liang has received awards for
Percy_Liang
1690 philosophical work by John Locke
Essay Concerning Human Understanding is an essay by John Locke concerning the foundation of human knowledge and understanding. It first appeared in 1689
An Essay Concerning Human Understanding
An_Essay_Concerning_Human_Understanding
Professor of Computer Science at University of Pennsylvania
inference approaches to natural language understanding. He has written the first paper on zero-shot learning in natural language processing, a 2008 paper
Dan_Roth
American consumer electronics brand
continue research and development of their machine learning and natural language understanding technologies. In July 2017, i.am+ purchased Wink, a software
I.am+
Method in natural language processing
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is
Word_embedding
Topics referred to by the same term
NLU may refer to: Natural-language understanding, in computational linguistics and AI National Labor Union, United States, 1866–1873 National Law Universities
NLU
Learning technique
Miguel; Wang, William Yang (3 May 2022). "Imagination-Augmented Natural Language Understanding". arXiv:2204.08535. Bibcode:2022arXiv220408535L. ProQuest 2652728174
Augmented_learning
Degradation or loss of the use of software over time
software rot. For example, the original SHRDLU program (an early natural language understanding program) cannot be run on any modern-day computer or computer
Software_rot
Computer scientist
various areas of Natural Language Processing, including his pioneering work on multilingual and cross-lingual Natural Language Understanding", and in the
Roberto_Navigli
Canadian computer scientist and educator
Richard Zanibbi and Dorothea Blostein, the Cerno lightweight natural language understanding system with John Mylopoulos and others at the University of
James_Cordy
Rivalries among developers of AI systems
advanced chatbot integrated with their R1 language model, emphasizing strong natural language understanding and multilingual support. Similarly, Grok
Competition in artificial intelligence
Competition_in_artificial_intelligence
Type of task difficulty
informally. Such problems are hypothesised to include: Spoken natural language understanding Understanding speech from far-field microphones, i.e. handling the
ASR-complete
Natural language processing software
Dialogflow is a natural language understanding platform used to design and integrate a conversational user interface into mobile apps, web applications
Dialogflow
Approach used in computer science
fields such as the knowledge based design of data schemas. In natural language understanding, naive semantics involves the use of a lexical theory which
Naive_semantics
Topics referred to by the same term
Language recognition may refer to: Language identification Natural-language understanding Speech recognition This disambiguation page lists articles associated
Language_recognition
American linguist and academic
meaning in language was respected for daring to use example sentences with real political topics. Her book on natural language understanding was noted
Georgia_M._Green
Concept in natural language processing
In natural language processing, textual entailment (TE), also known as natural language inference (NLI), is a directional relation between text fragments
Textual_entailment
Topics referred to by the same term
Relief, and Economic Security Act Probabilistic Action Cores, natural-language understanding software praC may refer to: 2-hydroxymuconate tautomerase, an
PRAC
Programming language
Winograd and was used in Winograd's natural-language understanding program SHRDLU, Eugene Charniak's story understanding work, Thorne McCarty's work on legal
Planner (programming language)
Planner_(programming_language)
Approach to network management
switches), topology or routing configurations. Advances in Natural Language Understanding (NLU) systems, along with neural network-based algorithms like
Intent-based_network
American businessman (born 1948)
Projects Agency announced a series of funding for six projects in natural language understanding in 1970. In January 1971, Hendrix enrolled in the PhD program
Gary_Hendrix
Test of machine intelligence
the GLUE (General Language Understanding Evaluation) benchmark collection of challenges in automated natural-language understanding. Ackerman, Evan (29
Winograd_schema_challenge
Machine learning method for concept approximation
approach used in computer science as a semantic component of natural language understanding. Stochastic models generally use the definition of segments
Semantic analysis (machine learning)
Semantic_analysis_(machine_learning)
Logic of questions and answers
query languages and data base management systems. The bibliography included 25 references on question answering and natural language understanding. For
Erotetics
dialog systems. It is related to natural language understanding, but mostly it refers to the last stage of understanding. The goal of interpretation is
Semantic_interpretation
Software agent
Amazon Lex was opened to developers in April 2017. It involves natural language understanding technology combined with automatic speech recognition and had
Virtual_assistant
1983 video game
for GDC 2023 featuring natural language processing functionalities such as natural language understanding and natural language generation. A public version
The Portopia Serial Murder Case
The_Portopia_Serial_Murder_Case
Meaning represented by natural language
representation theory Formal semantics (natural language) Minimal recursion semantics Natural-language understanding Semantic compression Semantic parsing
Computational_semantics
Methods in artificial intelligence research
problem. Natural language processing focuses on treating language as data to perform tasks such as identifying topics without necessarily understanding the
Symbolic artificial intelligence
Symbolic_artificial_intelligence
over the years, the company has been developing natural language understanding and natural language generation (together, dialogue) software since 2001
North_Side_Inc
American computer scientist (born 1956)
Pereira, described how the best approach to highly complex natural language understanding problems is to harness large quantities of data, not to depend
Peter_Norvig
Copenhagen
Diego, (Bobrow, et al.) used a similar technique to model a natural language understanding system at the Xerox Palo Alto Research Center circa 1975. In
Wizard_of_Oz_experiment
British researcher (born 1951)
speech recognition, speech synthesis, spoken language understanding, dialogue management, natural-language generation, and conversational artificial intelligence
Steve Young (software engineer)
Steve_Young_(software_engineer)
Computer system to converse with a human
recogniser handwriting recogniser The text is analysed by a natural language understanding (NLU) unit, which may include: Proper Name identification part-of-speech
Dialogue_system
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language
List_of_large_language_models
American speech recognition and artificial intelligence technology company
translation. In terms of commercialization of natural automated speech recognition, SRI's natural language speech recognition software was the first to
Nuance_Communications
is primarily used for large vocabulary speech recognition, natural language understanding, text-to-speech, and speaker verification. The Nortel Speech
Nortel_Speech_Server
Software company
LinguaSys to add natural language messaging capabilities. LinguaSys technology became the basis of Aspect's Natural Language Understanding component for
Alvaria
Indian computer scientist
representation language, the upper ontological layers of the Cyc Knowledge Base and some parts of the original Cyc Natural Language understanding system. Leaving
Ramanathan_V._Guha
Psychological theory
sequence of events in a particular context. Scripts are used in natural-language understanding systems to organize a knowledge base in terms of the situations
Script_theory
Cognitive science issue
Communicative action Consciousness Formal language Formal system Frame problem Hermeneutics Natural-language understanding Interpretation Physical symbol system
Symbol_grounding_problem
1938 book by Cleanth Brooks and Robert Penn Warren
Understanding Poetry is an American college textbook and poetry anthology by Cleanth Brooks and Robert Penn Warren, first published in 1938. The book
Understanding_Poetry
Concept in natural language processing
vocabulary. Natural language processing (NLP) is a field of computer science and linguistics. Sentiment analysis, Natural language understanding and Machine
Semantic_similarity
Large language model developed by Huawei
Chinese, English, Bilingual, and code, PanGu-Σ excels in few-shot natural-language understanding, open-domain discussion, question answering, machine translation
Huawei_PanGu
American music and speech recognition company
Voice. Artificial intelligence Generative AI Speech recognition Natural language understanding "SoundHound AI, Inc. 2023 Annual Report (Form 10-K)". U.S. Securities
SoundHound_AI
Chinese computer scientist
Potts, Christopher. "Podcast episode: Diyi Yang". CS224U: Natural Language Understanding. Retrieved February 20, 2024. "Diyi Yang". Stanford University
Diyi_Yang
travel, tourism, insurance
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