Towards Compositional Distributional Discourse Analysis
Abstract
Categorical compositional distributional semantics provide a method to derive the meaning of a sentence from the meaning of its individual words: the grammatical reduction of a sentence automatically induces a linear map for composing the word vectors obtained from distributional semantics. In this paper, we extend this passage from word-to-sentence to sentence-to-discourse composition. To achieve this we introduce a notion of basic anaphoric discourses as a mid-level representation between natural language discourse formalised in terms of basic discourse representation structures (DRS); and knowledge base queries over the Semantic Web as described by basic graph patterns in the Resource Description Framework (RDF). This provides a high-level specification for compositional algorithms for question answering and anaphora resolution, and allows us to give a picture of natural language understanding as a process involving both statistical and logical resources.
Cite
@article{arxiv.1811.03277,
title = {Towards Compositional Distributional Discourse Analysis},
author = {Bob Coecke and Giovanni de Felice and Dan Marsden and Alexis Toumi},
journal= {arXiv preprint arXiv:1811.03277},
year = {2018}
}
Comments
In Proceedings CAPNS 2018, arXiv:1811.02701