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Abstract: Children learn natural languages by hearing utterances while interacting with their physical environment. We investigate one aspect of language acquisition by similarly situated, embodied artificial agents - using information about syntax to learn linguistically relevant semantic features. The agent is assumed to have no innate knowledge of syntax, and instead leverages the weak information about syntax available in word cooccurrences. Similarity of context (i.e. the surrounding words) is used... (Update)
Context of citations to this paper: More
...mappings. A smaller amount of work in AI has also addressed the grounded acquisition of grammar (e.g. Steels 1997, Oates, Eyler Walker, and Cohen 1999); this is the problem we address in this paper. The main defining characteristic of our work is that we explicitly focus...
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BibTeX entry: (Update)
Oates, T., Eyler-Walker, Z., Cohen, P.R. 1999. Using Syntax to Learn Semantics: An Experiment in Language Acquisition with a Mobile Robot. Technical Report 99-35, Dept. of Computer Science, Univ. of Massachusetts at Amherst. http://citeseer.ist.psu.edu/oates99using.html More
@techreport{ oates99using,
author = "T. Oates and Z. Eyler-Walker and P. Cohen",
title = "Using Syntax to Learn Semantic: An Experiment in Language Acquisition with a Mobile Robot",
number = "UM-CS-1999-035",
month = ",",
pages = "NOTES:: Technical Report 99--35 Using Syntax to Learn Semantics: An Experiment in Language Acquisition with a Mobile Robot Tim Oates, Zachary Eyler--Walker, Paul R. Cohen Computer Science Department Lederle Graduate Research Center University of Massachusetts Amherst, MA 01003--4601",
year = "1999",
url = "citeseer.ist.psu.edu/oates99using.html" }
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