loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Denis Kiselev

Affiliation: HIKIMA.NET, Sapporo, Japan

Keyword(s): Natural Language Processing, Knowledge Representation and Reasoning, Cognitive Systems, Explainable AI, Construction Grammar, Winograd Schema.

Abstract: This paper deals with an AI implementation that uses knowledge in an original Construction Grammar (CG) format for deep understanding of text. CG is a means of processing knowledge pieces—aka constructions— that describe the form and meaning of text parts. Understanding consists in automatically finding in the text the knowledge that constructions contain and in creating knowledge networks that reflect the text information structure. Deeper understanding is achieved by propagating knowledge within the network, i.e. some constructions can share with others information about syntax, semantics, pragmatics and other text properties. A shortcoming of this information-rich method is limited coverage: only text for which a CG database is available can be understood; that database due to its complexity most often needs to be made up manually. The author attempts to increase the coverage by implementing automatic acquisition of word knowledge from sources such as an external (non-CG) knowledg e base and formatting the knowledge as CG constructions. The resulting CG database has been used in evaluation experiments to understand the Winograd Schema (WS)—a test for AI. A 28% increase in accurate coverage and opportunities for further improvement are observed. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.191.240.243

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kiselev, D. (2020). An AI using Construction Grammar: Automatic Acquisition of Knowledge about Words. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-395-7; ISSN 2184-433X, SciTePress, pages 289-296. DOI: 10.5220/0008865902890296

@conference{icaart20,
author={Denis Kiselev.},
title={An AI using Construction Grammar: Automatic Acquisition of Knowledge about Words},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2020},
pages={289-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008865902890296},
isbn={978-989-758-395-7},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - An AI using Construction Grammar: Automatic Acquisition of Knowledge about Words
SN - 978-989-758-395-7
IS - 2184-433X
AU - Kiselev, D.
PY - 2020
SP - 289
EP - 296
DO - 10.5220/0008865902890296
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic