ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.06458
  4. Cited By
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta
  vertex aggregation
v1v2v3 (latest)

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

International Conference on Statistical Language and Speech Processing (ICSLSP), 2019
15 July 2019
Blaž Škrlj
Andraz Repar
Senja Pollak
ArXiv (abs)PDFHTML

Papers citing "RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation"

11 / 11 papers shown
TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning
TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning
Kristian Miok
Blaž Škrlj
D. Zaharie
Marko Robnik-Šikonja
160
0
0
30 Jul 2025
SEKE: Specialised Experts for Keyword Extraction
SEKE: Specialised Experts for Keyword Extraction
Matej Martinc
Hanh Thi Hong Tran
Senja Pollak
Boshko Koloski
MoE
265
0
0
18 Dec 2024
Cross-Domain Keyword Extraction with Keyness Patterns
Cross-Domain Keyword Extraction with Keyness Patterns
Dongmei Zhou
Xuri Tang
271
0
0
27 Sep 2024
Unsupervised extraction of local and global keywords from a single text
Unsupervised extraction of local and global keywords from a single textNatural Language Processing (NLP), 2023
Lida H. Aleksanyan
A. Allahverdyan
243
0
0
26 Jul 2023
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness
Enes ALTUNCU
Jason R. C. Nurse
Yangbo Xu
Jie Guo
Shujun Li
379
5
0
09 Nov 2022
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better
  Than Unsupervised?
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?International Conference on Language Resources and Evaluation (LREC), 2022
Boshko Koloski
Senja Pollak
Blaž Škrlj
Matej Martinc
279
11
0
14 Feb 2022
Prioritization of COVID-19-related literature via unsupervised keyphrase
  extraction and document representation learning
Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning
Blaž Škrlj
M. Jukič
Nika Erzen
Senja Pollak
Nada Lavrac
127
2
0
17 Oct 2021
FRAKE: Fusional Real-time Automatic Keyword Extraction
FRAKE: Fusional Real-time Automatic Keyword Extraction
Aidin Zehtab-Salmasi
M. Feizi-Derakhshi
M. Balafar
294
11
0
10 Apr 2021
Extending Neural Keyword Extraction with TF-IDF tagset matching
Extending Neural Keyword Extraction with TF-IDF tagset matching
Boshko Koloski
Senja Pollak
Blaž Škrlj
Matej Martinc
217
15
0
31 Jan 2021
COVIDScholar: An automated COVID-19 research aggregation and analysis
  platform
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
Amalie Trewartha
John Dagdelen
Haoyan Huo
Kevin Cruse
Zheren Wang
...
Akshay Subramanian
Yuxing Fei
Benjamin Justus
Kristin A. Persson
Gerbrand Ceder
289
20
0
07 Dec 2020
TNT-KID: Transformer-based Neural Tagger for Keyword Identification
TNT-KID: Transformer-based Neural Tagger for Keyword IdentificationNatural Language Engineering (NLE), 2020
Matej Martinc
Blaž Škrlj
Senja Pollak
391
50
0
20 Mar 2020
1
Page 1 of 1