Abstract:
Models of linguistic semantics can be viewed through representation and reasoning. This distinction concerns questions on how do we represent the world that we refer to by linguistic expressions and what kind of reasoning do we apply based on these representations. It has been commonplace to assume that each word or expression has one or a limited number of different, distinct senses. The classification task of disambiguation has been devised to find the right reference in each case. It is also possible to represent the world using a high-dimensional continuous space. In that case, we do not need to assume that the world is represented as a network of nodes and their connections. These mathematical representations go beyond the capacities provided by symbolic logic. The word embeddings has history that stems from vector space representations in information retrieval. When a framework of multidimensional continuous spaces is available, it is possible to study nuances of meaning that go beyond conducting disambiguation or choosing between alternatives within a logical framework.
In the present work, it is postulated that semantic processes are essentially subjective and thus individual. When high-dimensional continuous spaces are used to represent meanings and defining contextual distributions, subjective aspects can be modelled. It is possible to measure subjectivity of meaning. This can be studied, for instance, in the framework of brain research (Saalasti et al. 2019) or motions tracking (Honkela & Förger 2013). The methodology or measuring subjective contextually grounded meaning has been been presented, for instance, in Raitio et al. 2014. Further methodological work and an empirical demonstration is presented in Sintonen et al. (2014). When it is possible to represent individually contextual meaning of expressions, it is consequently possible to analyse the differences of meaning between two individuals. A hypothesis is that suitable data for the purpose of meaning negotiation can be collected, computational algorithms devised and applied in real world contexts that helps in meaning negotiations. An alternative view is to aim at defining the meaning of words in a precise way and to teach all people to use these definition. In this present work, it is claimed that that objectivity can be reached only to a degree as it would require vast human cognitive and time resources and the mapping between words and the world is doomed to be partial. This concern has implications both in scientific and in real world communication and representation and has been applied in building the Peace Machine framework.
Meaning negotiations
as phenomena and
as LT challenges
Timo Honkela
University of Helsinki
with Iiro Jääskeläinen (Aalto University) on
the Study of Individualized Meanings
using Brain Research
University of Helsinki, Topelia, F211
4th of April, 2019
Timo Honkela: Meaning negotiations as phenomenon and as languages technology challenge (advanced topics)
1. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Meaning negotiations
as phenomena and
as LT challenges
continues ...
2. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Early Model of Meaning Negotiation
(Honkela 1993)
6. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
GICA – Grounded Intersubjective
Concept Analysis
Honkela,Raitio,Lagus,Nieminen,Honkela&PantzarIJCNN2012
7. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Honkela,Raitio,Lagus,Nieminen,Honkela&PantzarIJCNN2012
8. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
A ”classical form” of
polysemy/hononymy/
ambiguity
9. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Meaning distribution
of person A for
symbol x
10. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Meaning distribution
of person B for
symbol x
11. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Difference in meaning
distributions
between persons A and B
for symbol x
12. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Conceptual
versus
linguistic
granularity,
passive vs
active
13. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Colo(u)r communication game
(meaning negotiations)
...
Person x
names the
colors
Person y
picks the
colors ...
+ Different versions of the same theme
Related events such as Hackathon organized by
the Peace Machine Society (Rauhankone ry),
Executive Director Jari Sormunen, jari.sormunen@luukku.fi
Thank you Annika Sandström
14. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Some of the next steps
● Language, meaning and meaning negotiations
(in Finnish, 16th of May)
● Meaning machine hackathon planned for
August 2019 organized by the Peace Machine
Society (Rauhankone ry)
● Peace Machine will be presented in France in
September 2019
● Further theoretical work with prof. Matti Lassas
15. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Dealing with problems
related to theory of mind
● Theory of mind is crucial for everyday human social
interactions and is used when analyzing, judging,
and inferring others' behaviors.
● Deficits can occur in people with autism spectrum
disorders, schizophrenia, attention deficit
hyperactivity disorder, cocaine addiction, and brain
damage suffered from alcohol's neurotoxicity.
● How to help in a well informed manner but
without unnecessary catogorization and labeling
https://en.wikipedia.org/wiki/Theory_of_mind
16. Timo Honkela (University of Helsinki), Language Technology Seminar, 4th of April, 2019
Strengthening the mathematical basis of
conceptual processes and meaning negotiation
”Meaning of a word
as a distributions
in a multidimenal space”
”Dealing with compositional
semantics without
assuming symbol
manipulation as a starting
point”
”Mapping patterns of
reality with representions
of reality – of various kinds
(linguistic/symbolic,
images, sounds,
knowledge of generative
processes in reality such
as DNA / evergence)”
”functional analysis”
”topological vector spaces”
”Fréchet space”
”manifolds”
”differentiable manifolds”