@inproceedings{litvak-etal-2019-hevas,
title = "{HE}v{AS}: Headline Evaluation and Analysis System",
author = "Litvak, Marina and
Vanetik, Natalia and
Eretz Kdosha, Itzhak",
editor = "Giannakopoulos, George",
booktitle = "Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources",
month = sep,
year = "2019",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd.",
url = "https://aclanthology.org/W19-8910",
doi = "10.26615/978-954-452-058-8_010",
pages = "73--80",
abstract = "Automatic headline generation is a subtask of one-line summarization with many reported applications. Evaluation of systems generating headlines is a very challenging and undeveloped area. We introduce the Headline Evaluation and Analysis System (HEvAS) that performs automatic evaluation of systems in terms of a quality of the generated headlines. HEvAS provides two types of metrics{--} one which measures the informativeness of a headline, and another that measures its readability. The results of evaluation can be compared to the results of baseline methods which are implemented in HEvAS. The system also performs the statistical analysis of the evaluation results and provides different visualization charts. This paper describes all evaluation metrics, baselines, analysis, and architecture, utilized by our system.",
}
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<abstract>Automatic headline generation is a subtask of one-line summarization with many reported applications. Evaluation of systems generating headlines is a very challenging and undeveloped area. We introduce the Headline Evaluation and Analysis System (HEvAS) that performs automatic evaluation of systems in terms of a quality of the generated headlines. HEvAS provides two types of metrics– one which measures the informativeness of a headline, and another that measures its readability. The results of evaluation can be compared to the results of baseline methods which are implemented in HEvAS. The system also performs the statistical analysis of the evaluation results and provides different visualization charts. This paper describes all evaluation metrics, baselines, analysis, and architecture, utilized by our system.</abstract>
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%0 Conference Proceedings
%T HEvAS: Headline Evaluation and Analysis System
%A Litvak, Marina
%A Vanetik, Natalia
%A Eretz Kdosha, Itzhak
%Y Giannakopoulos, George
%S Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F litvak-etal-2019-hevas
%X Automatic headline generation is a subtask of one-line summarization with many reported applications. Evaluation of systems generating headlines is a very challenging and undeveloped area. We introduce the Headline Evaluation and Analysis System (HEvAS) that performs automatic evaluation of systems in terms of a quality of the generated headlines. HEvAS provides two types of metrics– one which measures the informativeness of a headline, and another that measures its readability. The results of evaluation can be compared to the results of baseline methods which are implemented in HEvAS. The system also performs the statistical analysis of the evaluation results and provides different visualization charts. This paper describes all evaluation metrics, baselines, analysis, and architecture, utilized by our system.
%R 10.26615/978-954-452-058-8_010
%U https://aclanthology.org/W19-8910
%U https://doi.org/10.26615/978-954-452-058-8_010
%P 73-80
Markdown (Informal)
[HEvAS: Headline Evaluation and Analysis System](https://aclanthology.org/W19-8910) (Litvak et al., RANLP 2019)
ACL
- Marina Litvak, Natalia Vanetik, and Itzhak Eretz Kdosha. 2019. HEvAS: Headline Evaluation and Analysis System. In Proceedings of the Workshop MultiLing 2019: Summarization Across Languages, Genres and Sources, pages 73–80, Varna, Bulgaria. INCOMA Ltd..