Keyword Extraction

24 papers with code • 3 benchmarks • 5 datasets

Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document (Source: Wikipedia).

Most implemented papers

Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events

fangleai/Outline2Story 4 Jan 2021

Our paper is among the first ones by our knowledge to propose a model and to create datasets for the task of "outline to story".

Extending Neural Keyword Extraction with TF-IDF tagset matching

bkolosk1/extending-neural-keyword-extraction-with-tf-idf-tagset-matching EACL (Hackashop) 2021

Keyword extraction is the task of identifying words (or multi-word expressions) that best describe a given document and serve in news portals to link articles of similar topics.

ELSKE: Efficient Large-Scale Keyphrase Extraction

johpro/elske 10 Feb 2021

Keyphrase extraction methods can provide insights into large collections of documents such as social media posts.

FRAKE: Fusional Real-time Automatic Keyword Extraction

cominsys/FRAKE 10 Apr 2021

For evaluating the proposed method, seven datasets were used: Semeval2010, SemEval2017, Inspec, fao30, Thesis100, pak2018, and Wikinews, with results reported as Precision, Recall, and F- measure.

DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature

rajaswa/DRIFT EMNLP (ACL) 2021

In this work, we present to the NLP community, and to the wider research community as a whole, an application for the diachronic analysis of research corpora.

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

linhanz/mderank Findings (ACL) 2022

In this work, we propose a novel unsupervised embedding-based KPE approach, Masked Document Embedding Rank (MDERank), to address this problem by leveraging a mask strategy and ranking candidates by the similarity between embeddings of the source document and the masked document.

Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis

ping543f/kwd-extraction-study 13 Nov 2021

This paper presents an experimental analysis of similarity scores of keywords generated by different supervised and unsupervised automated keyword extraction algorithms with expert provided keywords from the Electric Double Layer Capacitor (EDLC) domain.

SiDi KWS: A Large-Scale Multilingual Dataset for Keyword Spotting

michel-meneses/keyword-miner Interspeech 2022

Keyword spotting (KWS) has become a hot topic in speech processing due to the rise of commercial applications based on voice command detection, such as voice assistants.