DeepAI AI Chat
Log In Sign Up

Keyphrase Generation Beyond the Boundaries of Title and Abstract

12/13/2021
by   Krishna Garg, et al.
University of Illinois at Chicago
0

Keyphrase generation aims at generating phrases (keyphrases) that best describe a given document. In scholarly domains, current approaches to this task are neural approaches and have largely worked with only the title and abstract of the articles. In this work, we explore whether the integration of additional data from semantically similar articles or from the full text of the given article can be helpful for a neural keyphrase generation model. We discover that adding sentences from the full text particularly in the form of summary of the article can significantly improve the generation of both types of keyphrases that are either present or absent from the title and abstract. The experimental results on the three acclaimed models along with one of the latest transformer models suitable for longer documents, Longformer Encoder-Decoder (LED) validate the observation. We also present a new large-scale scholarly dataset FullTextKP for keyphrase generation, which we use for our experiments. Unlike prior large-scale datasets, FullTextKP includes the full text of the articles alongside title and abstract. We will release the source code to stimulate research on the proposed ideas.

READ FULL TEXT

page 1

page 2

page 3

page 4

11/22/2022

A Large-Scale Dataset for Biomedical Keyphrase Generation

Keyphrase generation is the task consisting in generating a set of words...
01/30/2018

Generating Wikipedia by Summarizing Long Sequences

We show that generating English Wikipedia articles can be approached as ...
10/27/2020

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles

Multi-document summarization is a challenging task for which there exist...
01/17/2023

Transformer Based Implementation for Automatic Book Summarization

Document Summarization is the procedure of generating a meaningful and c...
03/29/2022

LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents

Identifying keyphrases (KPs) from text documents is a fundamental task i...
12/02/2021

KPDrop: An Approach to Improving Absent Keyphrase Generation

Keyphrase generation is the task of generating phrases (keyphrases) that...
01/11/2020

PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata

PatentTransformer is our codename for patent text generation based on Tr...