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searching for Natural language understanding 63 found (168 total)

alternate case: natural language understanding

Florida Institute for Human and Machine Cognition (1,643 words) [view diff] exact match in snippet view article find links to article

performance; computational biology; human-machine communication & natural language understanding; intentions, beliefs & trust; knowledge discovery, data science

Georgia M. Green (888 words) [view diff] exact match in snippet view article find links to article

use example sentences with real political topics. Her book on natural language understanding was noted as admirably capturing the fact that “pragmatics is

Computational linguistics (1,163 words) [view diff] exact match in snippet view article find links to article

Retrieved September 22, 2024. Bates, M (1995). "Models of natural language understanding". Proceedings of the National Academy of Sciences of the United

Abstract Meaning Representation (659 words) [view diff] exact match in snippet view article find links to article

the extension to novel tasks such as machine translation and natural language understanding. The modern (post-2010) AMR format preserves the syntax and

James Cordy (1,043 words) [view diff] exact match in snippet view article find links to article

Richard Zanibbi and Dorothea Blostein, the Cerno lightweight natural language understanding system with John Mylopoulos and others at the University of

Logical form (1,369 words) [view diff] case mismatch in snippet view article find links to article

Ovchinnikova (15 February 2012). Integration of World Knowledge for Natural Language Understanding. Springer Science & Business Media. ISBN 978-94-91216-53-4.

Peter Norvig (1,301 words) [view diff] exact match in snippet view article find links to article

Pereira, described how the best approach to highly complex natural language understanding problems is to harness large quantities of data, not to depend

Nuance Communications (936 words) [view diff] exact match in snippet view article find links to article

Key people Mark Benjamin (chairman and CEO) Products IVR, natural language understanding, OCR, speech synthesis, speech recognition, PDF, consulting

IJCAI Computers and Thought Award (444 words) [view diff] exact match in snippet view article find links to article

contributions to both the approach of semantic parsing for natural language understanding and better methods for learning latent-variable models, sometimes

William Aaron Woods (1,008 words) [view diff] case mismatch in snippet view article find links to article

Processing, New York: Algorithmics Press, 1973. "Progress in Natural Language Understanding: An Application to Lunar Geology," AFIPS Conference Proceedings

Erotetics (783 words) [view diff] exact match in snippet view article find links to article

bibliography included 25 references on question answering and natural language understanding. For most of the time, researchers concentrated on the relation

Information Retrieval Facility (328 words) [view diff] no match in snippet view article find links to article

and precision of patent retrieval, based on ontologies and natural-language understanding techniques. Refining IR methods that allow unstructured querying

Software rot (1,846 words) [view diff] exact match in snippet view article find links to article

software rot. For example, the original SHRDLU program (an early natural language understanding program) cannot be run on any modern-day computer or computer

Ramanathan V. Guha (791 words) [view diff] case mismatch in snippet view article find links to article

of the Cyc Knowledge Base and some parts of the original Cyc Natural Language understanding system. Leaving what became Cycorp, Guha founded Q Technology

Jay L. Garfield (1,739 words) [view diff] case mismatch in snippet view article find links to article

New York, 1990. Modularity in Knowledge Representation and Natural Language Understanding. Bradford Books/MIT Press, 1987. Abortion: Moral and Legal Perspectives

Amazon Lex (225 words) [view diff] case mismatch in snippet view article find links to article

Amazon Lex chatbots directly from the AWS management console. "Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva - This Week in Machine

LLMs in Higher Education (1,318 words) [view diff] exact match in snippet view article find links to article

boundaries that have been drawn, these LLMs and GPTs have permitted natural language understanding and processing become fiercely discussed topic in scholarly

I.am+ (651 words) [view diff] exact match in snippet view article find links to article

continue research and development of their machine learning and natural language understanding technologies. In July 2017, i.am+ purchased Wink, a software

Diyi Yang (397 words) [view diff] case mismatch in snippet view article find links to article

Potts, Christopher. "Podcast episode: Diyi Yang". CS224U: Natural Language Understanding. Retrieved February 20, 2024. Yang, Diyi. "SALT Lab". "2024

Ray Kurzweil (7,868 words) [view diff] exact match in snippet view article find links to article

Kurzweil agreed on a one-sentence job description: "to bring natural language understanding to Google". Kurzweil received a Technical Grammy Award on February

History of natural language processing (1,415 words) [view diff] exact match in snippet view article find links to article

Roger Schank introduced the conceptual dependency theory for natural language understanding. This model, partially influenced by the work of Sydney Lamb

Planner (programming language) (2,311 words) [view diff] no match in snippet view article

Eugene Charniak and Terry Winograd and was used in Winograd's natural-language understanding program SHRDLU, Eugene Charniak's story understanding work,

Michael Witbrock (716 words) [view diff] exact match in snippet view article find links to article

including: Neural networks Multimedia information retrieval Natural language understanding Genetic design Computational linguistics Speech recognition

Bonnie Webber (516 words) [view diff] exact match in snippet view article find links to article

Graeme (1981), "Discourse-oriented anaphora resolution in natural language understanding: a review" (PDF), Computational Linguistics, 7 (2): 85–98 Marks

University of Maryland, Baltimore County Centers and Institutes (1,504 words) [view diff] exact match in snippet view article find links to article

robotics, machine learning, data science, image processing, and natural language understanding. These faculty members work in over 25 laboratories and research

Artificial Passenger (1,052 words) [view diff] case mismatch in snippet view article find links to article

natural speech instead of the use of hands. The CIT relies on a Natural Language Understanding (NLU) system that is difficult to develop because of the low-powered

Wizard of Oz experiment (1,509 words) [view diff] exact match in snippet view article find links to article

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

Yorick Wilks (1,824 words) [view diff] case mismatch in snippet view article find links to article

Computational Semantics—an Introduction to Artificial Intelligence and Natural Language Understanding. Amsterdam: North-Holland. Reprinted in Russian, in the series

Chinese computational linguistics (2,320 words) [view diff] exact match in snippet view article find links to article

information processing, word segmentation, proper noun recognition, natural language understanding and generation, corpus linguistics, and machine translation

Catherine Havasi (747 words) [view diff] exact match in snippet view article find links to article

fields of transfer and meta learning, educational outreach, natural language understanding, and computational creativity. She is co-author of 7 peer-reviewed

List of research laboratories for machine translation (1,377 words) [view diff] case mismatch in snippet view article find links to article

Technology Team". Universiteit Gent. Retrieved 14 March 2017. "Natural Language Understanding Team". Retrieved 14 March 2017. "Research Center of Language

LinguaSys (542 words) [view diff] case mismatch in snippet view article find links to article

of the Technology Assets of LinguaSys, a Leading Provider of Natural Language Understanding (NLU) and Interactive Text Response (ITR) Technology "LinguaSys'

Language module (2,741 words) [view diff] case mismatch in snippet view article find links to article

Garfield (Ed.), Modularity in Knowledge Representation and Natural Language Understanding. Cambridge, Mass: MIT Press. Martins, I.P. & Farrajota, L. (in

ACT-R (3,984 words) [view diff] exact match in snippet view article find links to article

researchers have been using ACT-R to model several aspects of natural language understanding and production. They include models of syntactic parsing, language

Mahwah, New Jersey (11,991 words) [view diff] exact match in snippet view article find links to article

residents of Mahwah include: Nuance Communications, voice, natural language understanding, reasoning and systems integration DialAmerica Marketing corporate

Bonnie Dorr (976 words) [view diff] exact match in snippet view article find links to article

Artificial Intelligence in 2013 for "significant contributions to natural language understanding and representation, and development of the widely recognized

Adrian Walker (computer scientist) (776 words) [view diff] exact match in snippet view article

This relaxes an onerous assumption made in many computational natural language understanding systems—namely, that the vocabulary must be narrowly restricted

Alex Hauptmann (350 words) [view diff] exact match in snippet view article find links to article

large text samples to acquire the knowledge needed for semantic natural language understanding". Alexander G. Hauptmann Carnegie Mellon University. Alex Hauptmann

Rama Akkiraju (951 words) [view diff] exact match in snippet view article find links to article

www.ibm.com. 9 November 2020. Retrieved 2022-03-30. "Applying natural language understanding to IT operations data to build machine learning models for IBM

Upper ontology (5,732 words) [view diff] case mismatch in snippet view article find links to article

language and the elements of an ontology is the province of Natural Language Understanding. But the ontology itself stands independently as a logical and

The Age of Intelligent Machines (2,088 words) [view diff] no match in snippet view article find links to article

pattern recognition, knowledge engineering, decision-making, natural-language understanding and others". He explains how robots are increasingly successful

Skeleton (computer programming) (2,500 words) [view diff] case mismatch in snippet view article

Interface". Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science. 1. SciTePress - Science and Technology

The Computer Museum, Boston (3,400 words) [view diff] exact match in snippet view article find links to article

plays tic-tac-toe according to a visitor-selected strategy. Natural language understanding Visitors could sit at computers and ask questions of ELIZA,

Fluid construction grammar (788 words) [view diff] case mismatch in snippet view article find links to article

Construction Grammar Third International Workshop on Scalable Natural Language Understanding (ScaNaLU 2006) June 8, 2006, following HLT/NAACL, New York City

Madeleine Bates (733 words) [view diff] exact match in snippet view article find links to article

1075823, ISBN 1-55860-357-3 Bates, M. (October 1995), "Models of natural language understanding", Proceedings of the National Academy of Sciences, 92 (22):

Semantic parsing (2,859 words) [view diff] exact match in snippet view article find links to article

tasks such as SCAN. Semantic parsers play a crucial role in natural language understanding systems because they transform natural language utterances into

Symbolic artificial intelligence (11,007 words) [view diff] exact match in snippet view article find links to article

topics without necessarily understanding the intended meaning. Natural language understanding, in contrast, constructs a meaning representation and uses that

Lateral computing (4,212 words) [view diff] case mismatch in snippet view article find links to article

Machine Intelligence, Kluwer Academic. James Allen (1995); Natural Language Understanding, 2nd Edition, Pearson Education Publishers. R. Herken (1995);

List of datasets for machine-learning research (14,619 words) [view diff] case mismatch in snippet view article find links to article

(2018). "GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding". arXiv:1804.07461 [cs.CL]. "Computers Are Learning to Read—But

Mona Diab (1,219 words) [view diff] case mismatch in snippet view article find links to article

Roth. LREC 14, 1094–1101. 2014 Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots. A. Gupta, P. Zhang, G. Lalwani,

Martin Kay (2,649 words) [view diff] case mismatch in snippet view article find links to article

"Unification in Grammar", in Dahl, V., and P. Saint-Dizier, Natural Language Understanding and Logic Programming, North Holland, 1985. "Theoretical Issues

Christian Guttmann (1,950 words) [view diff] exact match in snippet view article find links to article

startups that use Artificial Intelligence, machine learning and natural language understanding. These startups worked in industries such as health care, finance

Augmented learning (5,348 words) [view diff] case mismatch in snippet view article find links to article

Miguel; Wang, William Yang (3 May 2022). "Imagination-Augmented Natural Language Understanding". arXiv:2204.08535. Bibcode:2022arXiv220408535L. ProQuest 2652728174

Tsetlin machine (2,921 words) [view diff] exact match in snippet view article find links to article

(2022). "A relational Tsetlin machine with applications to natural language understanding". Journal of Intelligent Information Systems. 59. Springer:

Walther von Hahn (1,455 words) [view diff] case mismatch in snippet view article find links to article

Edition 1991 Walther v. Hahn, Artificial Intelligence and Natural Language Understanding, in: Proceedings Symposium "Les Etats Generaux des Langues"

Christopher Potts (704 words) [view diff] exact match in snippet view article find links to article

cited in studies of language processing, formal semantics, and natural language understanding. Potts's research centers on formal semantics and pragmatic

GPT-1 (1,064 words) [view diff] case mismatch in snippet view article find links to article

Bowman, Samuel R. (20 April 2018). "GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding". arXiv:1804.07461 [cs.CL].

Natural scientific research in Canada (20,465 words) [view diff] exact match in snippet view article find links to article

reasoning under uncertainty, robotics, multi-agent systems, natural language understanding, computational vision and models of intelligent interaction

IPhone 16 Pro (1,583 words) [view diff] exact match in snippet view article find links to article

Apple Intelligence enhances Siri's functionality, improving natural language understanding and introduces generative features such as custom emojis and

Wei-Ying Ma (1,157 words) [view diff] exact match in snippet view article find links to article

facilitating knowledge graph processing for web search and natural language understanding, and the creation of the Microsoft Concept Graph, a comprehensive

Juyang Weng (2,895 words) [view diff] exact match in snippet view article find links to article

around grounded machine learning, spanning vision, audition, natural language understanding, planning, and real-time hardware implementations. He is also

Chinese character sounds (3,833 words) [view diff] case mismatch in snippet view article find links to article

names: authors list (link) Huang, Changning (黄昌宁，张普 ed.) (2001). Natural Language Understanding and Machine Translation（自然语言理解与机器翻译） (in Chinese). Beijing:

Reinforcement learning from human feedback (8,617 words) [view diff] exact match in snippet view article find links to article

(NLP), such as conversational agents, text summarization, and natural language understanding. Ordinary reinforcement learning, in which agents learn from