1 |
A Grounded Approach to Modeling Generic Knowledge Acquisition
|
|
|
|
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
|
|
BASE
|
|
Show details
|
|
2 |
Grounding Word Learning Across Situations
|
|
|
|
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
|
|
BASE
|
|
Show details
|
|
3 |
A Grounded Approach to Modeling Generic Knowledge Acquisition ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
A Grounded Approach to Modeling Generic Knowledge Acquisition ...
|
|
|
|
Abstract:
We introduce and implement a cognitively plausible model for learning from generic language, statements that express generalizations about members of a category and are an important aspect of concept development in language acquisition (Carlson & Pelletier, 1995; Gelman, 2009). We extend a computational framework designed to model grounded language acquisition by introducing the concept network. This new layer of abstraction enables the system to encode knowledge learned from generic statements and represent the associations between concepts learned by the system. Through three tasks that utilize the concept network, we demonstrate that our extensions to ADAM can acquire generic information and provide an example of how ADAM can be used to model language acquisition. ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://arxiv.org/abs/2105.03207 https://dx.doi.org/10.48550/arxiv.2105.03207
|
|
BASE
|
|
Hide details
|
|
9 |
GALE English-Chinese Parallel Aligned Treebank -- Training ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
GALE Chinese-English Parallel Aligned Treebank -- Training ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Building a Large Annotated Corpus of English: The Penn Treebank
|
|
|
|
In: DTIC AND NTIS (1993)
|
|
BASE
|
|
Show details
|
|
|
|