Context in communication

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The meaning of an utterance, or even a single word, often depends on context, so the inability to represent and process context puts a fundamental limit on how much meaning can be recovered from language. This paper discusses some issues related to context that emerged from the Communicating with Computers program, sponsored by the Defense Advanced Research Projects Agency.

Original languageEnglish (US)
Title of host publicationSS-17-01
Subtitle of host publicationArtificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing
PublisherAI Access Foundation
Pages303-306
Number of pages4
VolumeSS-17-01 - SS-17-08
ISBN (Electronic)9781577357797
StatePublished - 2017
Event2017 AAAI Spring Symposium - Stanford, United States
Duration: Mar 27 2017Mar 29 2017

Other

Other2017 AAAI Spring Symposium
CountryUnited States
CityStanford
Period3/27/173/29/17

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Cohen, P. R. (2017). Context in communication. In SS-17-01: Artificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing (Vol. SS-17-01 - SS-17-08, pp. 303-306). AI Access Foundation.