YAKE! Keyword extraction from single documents using multiple local features
As the amount of generated information grows, reading and summarizing texts of large
collections turns into a challenging task. Many documents do not come with descriptive …
collections turns into a challenging task. Many documents do not come with descriptive …
SkyWords: An automatic keyword extraction system based on the skyline operator and semantic similarity
This study presents a hybrid keyword extraction method called SkyWords. It implements a
novel supervised step based on the skyline operator and the majority voting principle for …
novel supervised step based on the skyline operator and the majority voting principle for …
[图书][B] Mobile information retrieval
This chapter introduces, in Sect. 1.1, the area of research and development of Mobile
Information Retrieval. In Sect. 1.2 it gives the motivation for this review and explains briefly …
Information Retrieval. In Sect. 1.2 it gives the motivation for this review and explains briefly …
Does\textsc {DetectGPT} Fully Utilize Perturbation? Selective Perturbation on Model-Based Contrastive Learning Detector would be Better
The burgeoning capabilities of large language models (LLMs) have raised growing
concerns about abuse. DetectGPT, a zero-shot metric-based unsupervised machine …
concerns about abuse. DetectGPT, a zero-shot metric-based unsupervised machine …
Exploring multiobjective optimization for multiview clustering
We present a new multiview clustering approach based on multiobjective optimization. In
contrast to existing clustering algorithms based on multiobjective optimization, it is generally …
contrast to existing clustering algorithms based on multiobjective optimization, it is generally …
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
The burgeoning generative capabilities of large language models (LLMs) have raised
growing concerns about abuse, demanding automatic machine-generated text detectors …
growing concerns about abuse, demanding automatic machine-generated text detectors …
Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models
This study extends the examination of the Efficient-Market Hypothesis in Bitcoin market
during a five-year fluctuation period, from September 1 2017 to September 1 2022, by …
during a five-year fluctuation period, from September 1 2017 to September 1 2022, by …
Static output feedback stabilization of linear and nonlinear systems
A Astolfi, P Colaneri - … of the 39th IEEE Conference on Decision …, 2000 - ieeexplore.ieee.org
The static output feedback stabilization problem for linear and nonlinear (affine) systems is
discussed. A novel necessary and sufficient condition for linear systems is proposed. For …
discussed. A novel necessary and sufficient condition for linear systems is proposed. For …
Disambiguating implicit temporal queries by clustering top relevant dates in web snippets
With the growing popularity of research in Temporal Information Retrieval (T-IR), a large
amount of temporal data is ready to be exploited. The ability to exploit this information can …
amount of temporal data is ready to be exploited. The ability to exploit this information can …
Gte: A distributional second-order co-occurrence approach to improve the identification of top relevant dates in web snippets
In this paper, we present an approach to identify top relevant dates in Web snippets with
respect to a given implicit temporal query. Our approach is two-fold. First, we propose a …
respect to a given implicit temporal query. Our approach is two-fold. First, we propose a …