Tell me Stories - Temporal Summarization framework

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Conta-me Histórias - Temporal Summarization framework

Tell me StoriesConta-me Histórias

Handle:	https://hdl.handle.net/21.11129/0000-000D-F8C6-C (persistent URL to this page)
URL:	http://tellmestories.pt
URL:	http://contamehistorias.pt

Conta-me Histórias [http://contamehistorias.pt] is a temporal summarization framework of news articles that allows users to explore and revisit events in the past. To select relevant stories of different time-periods, we rely on YAKE! [http://yake.inesctec.pt] a keyword extraction algorithm developed by our research team. Initially built on top of the Portuguese web archive [http://arquivo.pt] it has been later extended to support different datasets such as Reuters, Bloomberg, Bing or the Signal Media dataset. These are available through the Tell me Stories [http://tellmestories.pt] website. In addition to these online tools, we offer the engine as an open source Python package [https://github.com/LIAAD/TemporalSummarizationFramework] that can be extended to support different datasets or languages. Conta-me Histórias / Tell me Stories has won the Arquivo.pt 2018 contest [https://sobre.arquivo.pt/en/arquivo-pt-2018-award-winners/] and has been awarded the Best Demo Presentation at ECIR’19 [http://www.ecir2019.org].

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DistributionLicence

Open Under - PSI

Restrictions: Academic - Non Commercial Use

User Nature: Academic

Download location: hidden

Distribution Access/Medium: Accessible Through Interface, Downloadable, Web Executable

Execution locations: hidden

Attribution Details: If you use "Conta-me Histórias / Tell me Stories" in a work that leads to a scientific publication, research project or product, please cite the following references: - Pasquali, A., & Mangaravite, V., & Campos, R., & Jorge, A., & Jatowt, A. (2019). Interactive System for Automatically Generating Temporal Narratives. In Azzopardi et al. (Eds.), Lecture Notes in Computer Science - Advances in Information Retrieval - 41st European Conference on Information Retrieval (ECIR'19). Cologne, Germany. April 14 – 18. (Vol. 11438 (2019), pp. 251 - 255). - Campos, R., & Pasquali, A., & Jatowt, A. & Mangaravite, V., & Jorge, A. (2020). Automatic generation of timelines for past events. In Daniel Gomes et al. (Eds.), The past web: exploring web archives. Springer.

Licensors:

INESC TEC - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIÊNCIA

http://www.inesctec.pt

INESC TEC - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIÊNCIA

INESC TEC

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Campus da Faculdade de Engenharia da Universidade do Porto. Rua Dr.º Roberto Frias

4200-465 Porto

Portugal

Distribution rights holders:

INESC TEC - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIÊNCIA

INESC TEC

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Campus da Faculdade de Engenharia da Universidade do Porto. Rua Dr.º Roberto Frias

4200-465 Porto

Portugal

IPR Holder

INESC TEC - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIÊNCIA

INESC TEC

[javascript protected email address]

Campus da Faculdade de Engenharia da Universidade do Porto. Rua Dr.º Roberto Frias

4200-465 Porto

Portugal

Contact Person

Ricardo Campos Male

http://www.ccc.ipt.pt/~ricardo

Assistant Professor (PhD)

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Tool/Service

Suite Of Tools

Language Independent

Operation

Operating system: Os - Independent

Metadata

Created: 05/10/2019

Last Updated: 10/29/2020

Version

Version: 0.1

Usage

Foreseen UseNlp Applications

Use NLP Specific: Information Retrieval, Summarisation, Text Mining, Topic Detection_ Tracking

Documentation

Document Type: In Proceedings

Arian Pasquali, Vítor Mangaravite, Ricardo Campos, Alípio Mário Jorge and Adam Jatowt, Interactive System for Automatically Generating Temporal Narratives, https://link.springer.com/chapter/10.1007/978-3-030-15719-7_34 11438 , pp. 251-255 , 41st European Conference on Information Retrieval (ECIR'19) , 2019

Editor: Azzopardi et al.

Publisher: Springer

Book Title: Lecture Notes in Computer Science

Series: Advances in Information Retrieval

Keywords: Information retrieval Temporal summarization

Document Type: In Book

Ricardo Campos, Arian Pasquali, Vítor Mangaravite, Alípio Mário Jorge and Adam Jatowt, Automatic generation of timelines for past events, , 2020

Editor: Daniel Gomes, Jane Winters, Elena Demidova and Thomas Risse

Publisher: Springer

Book Title: The Past Web: exploring web archives

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