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Integrating special rules rooted in natural language semantics into the system of natural deduction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10244301" target="_blank" >RIV/61989100:27240/20:10244301 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Integrating special rules rooted in natural language semantics into the system of natural deduction

  • Original language description

    The paper deals with natural language processing and question answering over large corpora of formalised natural language texts. Our background theory is the system of Transparent Intensional Logic (TIL). Having a fine-grained analysis of natural language sentences in the form of TIL constructions, we apply Gentzen&apos;s sys-tem of natural deduction to answer questions in an &apos;intelligent&apos; way. It means that our system derives logical consequences entailed by the input sentences rather than merely searching answers by keywords. Natural lan-guage semantics is rich, and plenty of its special features must be taken into account in the process of inferring answers. The TIL system makes it possible to formalise all these semantically salient features in a fine-grained way. In particular, since TIL is a logic of partial functions, it deals with non-referring terms and sentences with truth-value gaps in an appropriate way. This is important because sentences often come attached with a presupposition that must be true in order that a given sentence had any truth-value. Yet, a problem arises how to integrate those special semantic rules into a standard deduction system. Proposal of the solution is one of the goals of this paper. The second novel result is this. There is a problem how to search relevant sentences in the labyrinth of input text data and how to vote for relevant applicable rules to meet the goal, i.e. to answer a given question. To this end, we propose a heuristic method driven by constituents of a given question.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence

  • ISBN

    978-989-758-395-7

  • ISSN

  • e-ISSN

  • Number of pages

    22

  • Pages from-to

    410-421

  • Publisher name

    SciTePress - Science and Technology Publications

  • Place of publication

    Setúbal

  • Event location

    Valletta

  • Event date

    Feb 22, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000570767700045