The Competition on Automatic Classification of Literary Epochs

Irina Rabaev; Marina Litvak; Vladimir Younkin; Ricardo Campos; Alípio Mário Jorge; Adam Jatowt

The Competition on Automatic Classification of Literary Epochs

Irina Rabaev
, Marina Litvak
, Vladimir Younkin
, Ricardo Campos
, Alípio Mário Jorge
, Adam Jatowt

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

This paper describes the shared task on Automatic Classification of Literary Epochs (CoLiE) held as a part of the 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) held at SIGIR 2023. The competition aimed to enhance the capabilities of large-scale analysis and cross-comparative studies of literary texts by automating their classification into the respective epochs. We believe that the competition contributed to the field of information retrieval by exposing the first large benchmark dataset and the first study’s results with various methods applied to this dataset. This paper presents the details of the contest, the dataset used, the evaluation procedure, and an overview of participating methods.

Original language	English
Pages (from-to)	49-56
Number of pages	8
Journal	CEUR Workshop Proceedings
Volume	3477
State	Published - 1 Jan 2023
Externally published	Yes
Event	1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval, IACT 2023 - Taipei, Taiwan, Province of China Duration: 27 Jul 2023 → …

Keywords

Implicit Information Retrieval
Implicit Temporal Context Retrieval
Text Classification

ASJC Scopus subject areas

General Computer Science

Cite this

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title = "The Competition on Automatic Classification of Literary Epochs",

abstract = "This paper describes the shared task on Automatic Classification of Literary Epochs (CoLiE) held as a part of the 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT{\textquoteright}23) held at SIGIR 2023. The competition aimed to enhance the capabilities of large-scale analysis and cross-comparative studies of literary texts by automating their classification into the respective epochs. We believe that the competition contributed to the field of information retrieval by exposing the first large benchmark dataset and the first study{\textquoteright}s results with various methods applied to this dataset. This paper presents the details of the contest, the dataset used, the evaluation procedure, and an overview of participating methods.",

keywords = "Implicit Information Retrieval, Implicit Temporal Context Retrieval, Text Classification",

author = "Irina Rabaev and Marina Litvak and Vladimir Younkin and Ricardo Campos and Jorge, \{Al{\'i}pio M{\'a}rio\} and Adam Jatowt",

note = "Publisher Copyright: {\textcopyright} 2022 Copyright for this paper by its authors.; 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval, IACT 2023 ; Conference date: 27-07-2023",

year = "2023",

month = jan,

day = "1",

language = "English",

volume = "3477",

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T1 - The Competition on Automatic Classification of Literary Epochs

AU - Rabaev, Irina

AU - Litvak, Marina

AU - Younkin, Vladimir

AU - Campos, Ricardo

AU - Jorge, Alípio Mário

AU - Jatowt, Adam

PY - 2023/1/1

Y1 - 2023/1/1

N2 - This paper describes the shared task on Automatic Classification of Literary Epochs (CoLiE) held as a part of the 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) held at SIGIR 2023. The competition aimed to enhance the capabilities of large-scale analysis and cross-comparative studies of literary texts by automating their classification into the respective epochs. We believe that the competition contributed to the field of information retrieval by exposing the first large benchmark dataset and the first study’s results with various methods applied to this dataset. This paper presents the details of the contest, the dataset used, the evaluation procedure, and an overview of participating methods.

AB - This paper describes the shared task on Automatic Classification of Literary Epochs (CoLiE) held as a part of the 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) held at SIGIR 2023. The competition aimed to enhance the capabilities of large-scale analysis and cross-comparative studies of literary texts by automating their classification into the respective epochs. We believe that the competition contributed to the field of information retrieval by exposing the first large benchmark dataset and the first study’s results with various methods applied to this dataset. This paper presents the details of the contest, the dataset used, the evaluation procedure, and an overview of participating methods.

KW - Implicit Information Retrieval

KW - Implicit Temporal Context Retrieval

KW - Text Classification

UR - https://www.scopus.com/pages/publications/85173500172

M3 - Conference article

AN - SCOPUS:85173500172

SN - 1613-0073

VL - 3477

SP - 49

EP - 56

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval, IACT 2023

Y2 - 27 July 2023

ER -

The Competition on Automatic Classification of Literary Epochs

Abstract

Keywords

ASJC Scopus subject areas

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