Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data

Alejandro Ramos-Soto; Martín Pereira-Fariña

doi:10.1007/978-3-319-91473-2_4

Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data

Alejandro Ramos-Soto, Martín Pereira-Fariña

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

7 Downloads (Pure)

Abstract

We approach the problem of interpretability for fuzzy linguistic descriptions of data from a natural language generation perspective. For this, first we review the current state of linguistic descriptions of data and their use contexts as a standalone tool and as part of a natural language generation system. Then, we discuss the standard approach to interpretability for linguistic descriptions and introduce our complementary proposal, which describes the elements from linguistic descriptions of data that can influence and improve the interpretability of automatically generated texts (such as fuzzy properties, quantifiers, and truth degrees), when linguistic descriptions are used to determine relevant content within a text generation system.

Original language	English
Title of host publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems
Subtitle of host publication	Theory and Foundations. IPMU 2018
Editors	J Medina, M Ojeda-Aciego, J L Verdegay, J L Pelta, I P Cabrera, B Bouchon-Meunier, R R Yager
Place of Publication	Cham
Publisher	Springer
Pages	40-51
Number of pages	12
ISBN (Electronic)	978-3-319-91473-2
ISBN (Print)	978-3-319-91472-5
DOIs	https://doi.org/10.1007/978-3-319-91473-2_4
Publication status	Published - 2018
Event	17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - Cádiz, Spain Duration: 11 Jun 2018 → 15 Jun 2018 Conference number: 17 http://ipmu2018.uca.es/

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Number	853
ISSN (Print)	1865-0929

Conference

Conference	17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Abbreviated title	IPMU 2018
Country	Spain
City	Cádiz
Period	11/06/18 → 15/06/18
Internet address	http://ipmu2018.uca.es/

Keywords

fuzzy sets
linguistic summarization
fuzzy linguistic descriptions of data
interpretability
natural language generation
data-to-text

Access to Document

10.1007/978-3-319-91473-2_4Licence: Unspecified

Accepted Manuscript
The final authenticated version is available online at https://doi.org/10.1007/978-3-319-91473-2_4
Accepted author manuscript, 826 KBLicence: Other

Fingerprint Dive into the research topics of 'Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data'. Together they form a unique fingerprint.

Cite this

Ramos-Soto, A., & Pereira-Fariña, M. (2018). Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data. In J. Medina, M. Ojeda-Aciego, J. L. Verdegay, J. L. Pelta, I. P. Cabrera, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Foundations. IPMU 2018 (pp. 40-51). (Communications in Computer and Information Science; No. 853). Springer . https://doi.org/10.1007/978-3-319-91473-2_4

Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data. / Ramos-Soto, Alejandro; Pereira-Fariña, Martín.

Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Foundations. IPMU 2018. ed. / J Medina; M Ojeda-Aciego; J L Verdegay; J L Pelta; I P Cabrera; B Bouchon-Meunier; R R Yager. Cham : Springer , 2018. p. 40-51 (Communications in Computer and Information Science; No. 853).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ramos-Soto, A & Pereira-Fariña, M 2018, Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data. in J Medina, M Ojeda-Aciego, JL Verdegay, JL Pelta, IP Cabrera, B Bouchon-Meunier & RR Yager (eds), Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, no. 853, Springer , Cham, pp. 40-51, 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Cádiz, Spain, 11/06/18. https://doi.org/10.1007/978-3-319-91473-2_4

Ramos-Soto A, Pereira-Fariña M. Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data. In Medina J, Ojeda-Aciego M, Verdegay JL, Pelta JL, Cabrera IP, Bouchon-Meunier B, Yager RR, editors, Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Foundations. IPMU 2018. Cham: Springer . 2018. p. 40-51. (Communications in Computer and Information Science; 853). https://doi.org/10.1007/978-3-319-91473-2_4

Ramos-Soto, Alejandro ; Pereira-Fariña, Martín. / Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data. Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Foundations. IPMU 2018. editor / J Medina ; M Ojeda-Aciego ; J L Verdegay ; J L Pelta ; I P Cabrera ; B Bouchon-Meunier ; R R Yager. Cham : Springer , 2018. pp. 40-51 (Communications in Computer and Information Science; 853).

@inproceedings{9bec123642ea401aa7d8976f448790a1,

title = "Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data",

abstract = "We approach the problem of interpretability for fuzzy linguistic descriptions of data from a natural language generation perspective. For this, first we review the current state of linguistic descriptions of data and their use contexts as a standalone tool and as part of a natural language generation system. Then, we discuss the standard approach to interpretability for linguistic descriptions and introduce our complementary proposal, which describes the elements from linguistic descriptions of data that can influence and improve the interpretability of automatically generated texts (such as fuzzy properties, quantifiers, and truth degrees), when linguistic descriptions are used to determine relevant content within a text generation system.",

keywords = "fuzzy sets, linguistic summarization, fuzzy linguistic descriptions of data, interpretability, natural language generation, data-to-text",

author = "Alejandro Ramos-Soto and Mart{\'i}n Pereira-Fari{\~n}a",

year = "2018",

doi = "10.1007/978-3-319-91473-2_4",

language = "English",

isbn = "978-3-319-91472-5",

series = "Communications in Computer and Information Science",

publisher = "Springer ",

number = "853",

pages = "40--51",

editor = "J Medina and M Ojeda-Aciego and Verdegay, {J L} and Pelta, {J L} and Cabrera, {I P} and B Bouchon-Meunier and Yager, {R R }",

booktitle = "Information Processing and Management of Uncertainty in Knowledge-Based Systems",

note = "17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018 ; Conference date: 11-06-2018 Through 15-06-2018",

url = "http://ipmu2018.uca.es/",

}

TY - GEN

T1 - Reinterpreting Interpretability for Fuzzy Linguistic Descriptions of Data

AU - Ramos-Soto, Alejandro

AU - Pereira-Fariña, Martín

N1 - Conference code: 17

PY - 2018

Y1 - 2018

N2 - We approach the problem of interpretability for fuzzy linguistic descriptions of data from a natural language generation perspective. For this, first we review the current state of linguistic descriptions of data and their use contexts as a standalone tool and as part of a natural language generation system. Then, we discuss the standard approach to interpretability for linguistic descriptions and introduce our complementary proposal, which describes the elements from linguistic descriptions of data that can influence and improve the interpretability of automatically generated texts (such as fuzzy properties, quantifiers, and truth degrees), when linguistic descriptions are used to determine relevant content within a text generation system.

AB - We approach the problem of interpretability for fuzzy linguistic descriptions of data from a natural language generation perspective. For this, first we review the current state of linguistic descriptions of data and their use contexts as a standalone tool and as part of a natural language generation system. Then, we discuss the standard approach to interpretability for linguistic descriptions and introduce our complementary proposal, which describes the elements from linguistic descriptions of data that can influence and improve the interpretability of automatically generated texts (such as fuzzy properties, quantifiers, and truth degrees), when linguistic descriptions are used to determine relevant content within a text generation system.

KW - fuzzy sets

KW - linguistic summarization

KW - fuzzy linguistic descriptions of data

KW - interpretability

KW - natural language generation

KW - data-to-text

U2 - 10.1007/978-3-319-91473-2_4

DO - 10.1007/978-3-319-91473-2_4

M3 - Conference contribution

SN - 978-3-319-91472-5

T3 - Communications in Computer and Information Science

SP - 40

EP - 51

BT - Information Processing and Management of Uncertainty in Knowledge-Based Systems

A2 - Medina, J

A2 - Ojeda-Aciego, M

A2 - Verdegay, J L

A2 - Pelta, J L

A2 - Cabrera, I P

A2 - Bouchon-Meunier, B

A2 - Yager, R R

PB - Springer

CY - Cham

T2 - 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

Y2 - 11 June 2018 through 15 June 2018

ER -