Large Language Models as Zero-Shot Keyphrase Extractor: A Preliminary Empirical Study

M Song, X Geng, S Yao, S Lu, Y Feng… - arXiv preprint arXiv …, 2023 - arxiv.org
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by
human-annotated data, which is challenging due to the limited human intervention involved …

Match More, Extract Better! Hybrid Matching Model for Open Domain Web Keyphrase Extraction

M Song, L Jing, Y Feng - Findings of the Association for …, 2024 - aclanthology.org
Keyphrase extraction aims to automatically extract salient phrases representing the critical
information in the source document. Identifying salient phrases is challenging because there …

A Preliminary Empirical Study on Prompt-based Unsupervised Keyphrase Extraction

M Song, Y Feng, L Jing - arXiv preprint arXiv:2405.16571, 2024 - arxiv.org
Pre-trained large language models can perform natural language processing downstream
tasks by conditioning on human-designed prompts. However, a prompt-based approach …

Rapid Unsupervised Keyphrase Extraction from Single Document

S Popova, J Cardiff, V Danilova - 2024 36th Conference of …, 2024 - ieeexplore.ieee.org
Keyphrases offer a concise representation of a document's content. They are valuable for
improving web search results and enhancing tasks such as document tagging, text …

Unsupervised Keyphrase Extraction: Ranking Step and Single-Word Phrase Problem

S Popova, V Danilova, M Alexandrov… - Computación y …, 2024 - scielo.org.mx
Keyphrases provide a compact representation of a document's content and can be efficiently
used to enhance Web search results and improve natural language processing tasks. This …

Stop-Word Lists in Keyphrase Extraction: Their Influence and Comparison

S Popova, M Alexandrov, J Cardiff - Computación y Sistemas, 2024 - scielo.org.mx
Keyphrases provide a compact representation of a document's content and are useful in
Web search systems, text data mining, and natural language processing applications. The …