Natural language interactions with artificial experts
نویسندگان
چکیده
منابع مشابه
Natural Language From Artificial Life
This article aims to show that linguistics, in particular the study of the lexico-syntactic aspects of language, provides fertile ground for artificial life modeling. A survey of the models that have been developed over the last decade and a half is presented to demonstrate that ALife techniques have a lot to offer an explanatory theory of language. It is argued that this is because much of the...
متن کاملLanguage Games, Natural and Artificial
Natural languages are the ultimate knowledge representation languages. Everything that can be expressed in any artificial language or notation can be expressed with equal precision in a natural language. For many applications, however, artificial languages can be more concise or better tailored to the requirements. A key to understanding the relationships between natural languages and artificia...
متن کاملNatural Language Generation in Artificial
A number of collections of papers from the field of natural language generation (NLG) have been published over the last few years: Kempen (1987), Zock and Sabah (1988), Dale, Mellish, and Zock (1990), and now the present volume. All have in common that they are derived in one way or another from workshops on the subject, and should therefore make available new and often exploratory research in ...
متن کاملArtificial Ants for Natural Language Processing
The global sense of a text results from the interactions between the different meanings of the words that compose it. Classical approaches for applications like Word Sense Disambiguation (WSD) rely on the use of conceptual vectors that represent word meanings by concept activations. The process for determining the global sense of a text consists in propagating the different vectors within the t...
متن کاملConcept Learning from Natural Language Interactions
Humans can efficiently learn about new concepts using natural language communications. For example, a human can learn the concept of a phishing email from natural language explanations such as ‘phishing emails often request your bank account number’. On the other hand, purely inductive learning systems typically require a large collection of labeled data for learning such a concept. If we wish ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the IEEE
سال: 1986
ISSN: 0018-9219
DOI: 10.1109/proc.1986.13572