We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics

09/10/2021
by   Simon Dobnik, et al.
0

In this paper we examine different meaning representations that are commonly used in different natural language applications today and discuss their limits, both in terms of the aspects of the natural language meaning they are modelling and in terms of the aspects of the application for which they are used.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/13/2016

Natural Language Semantics and Computability

This paper is a reflexion on the computability of natural language seman...
research
02/22/2016

From quantum foundations via natural language meaning to a theory of everything

In this paper we argue for a paradigmatic shift from `reductionism' to `...
research
07/19/2020

From Spatial Relations to Spatial Configurations

Spatial Reasoning from language is essential for natural language unders...
research
05/18/2020

(Re)construing Meaning in NLP

Human speakers have an extensive toolkit of ways to express themselves. ...
research
05/16/2023

MetaSRL++: A Uniform Scheme for Modelling Deeper Semantics

Despite enormous progress in Natural Language Processing (NLP), our fiel...
research
10/05/2019

On the Limits of Learning to Actively Learn Semantic Representations

One of the goals of natural language understanding is to develop models ...
research
06/04/2019

Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG

Neural natural language generation (NNLG) from structured meaning repres...

Please sign up or login with your details

Forgot password? Click here to reset