Generating summaries tailored to target characteristics

Autor:	Chawla, Kushal, Singh, Hrituraj, Pramanik, Arijit, Kumar, Mithlesh, Srinivasan, Balaji Vasan
Rok vydání:	2019
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	Recently, research efforts have gained pace to cater to varied user preferences while generating text summaries. While there have been attempts to incorporate a few handpicked characteristics such as length or entities, a holistic view around these preferences is missing and crucial insights on why certain characteristics should be incorporated in a specific manner are absent. With this objective, we provide a categorization around these characteristics relevant to the task of text summarization: one, focusing on what content needs to be generated and second, focusing on the stylistic aspects of the output summaries. We use our insights to provide guidelines on appropriate methods to incorporate various classes characteristics in sequence-to-sequence summarization framework. Our experiments with incorporating topics, readability and simplicity indicate the viability of the proposed prescriptions Comment: Appeared in CiCLing 2019
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1912.08492 Zobrazit plný text záznamu View this record from Arxiv