Learning Word Meanings by Instruction

No. 1: Agents, AI in Art and Entertainment, Knowledge Representation, and Learning

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 13

Information Retrieval & Natural Language Processing

We develop techniques for learning the meanings of unknown words in context. Working within a compositional semantics framework, we write down equations in which a sentence' s meaning is some combination function of the meaning of its words. When one of the words is unknown, we ask for a paraphrase of the sentence. We then compute the meaning of the unknown word by inverting parts of the semantic combination function. This technique can be used to learn word-concept mappings, decomposed meanings, and mappings between syntactic and semantic roles. It works for all parts of speech.