Martin Gerlach | DeepAI

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Robert West
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∙ 06/06/2023

Orphan Articles: The Dark Matter of Wikipedia

With 60M articles in more than 300 language versions, Wikipedia is the l...

0 Akhil Arora, et al. ∙

∙ 05/16/2023

Curious Rhythms: Temporal Regularities of Wikipedia Consumption

Wikipedia, in its role as the world's largest encyclopedia, serves a bro...

0 Tiziano Piccardi, et al. ∙

∙ 03/14/2022

Going Down the Rabbit Hole: Characterizing the Long Tail of Wikipedia Reading Sessions

"Wiki rabbit holes" are informally defined as navigation paths followed ...

0 Tiziano Piccardi, et al. ∙

∙ 01/03/2022

Wikipedia Reader Navigation: When Synthetic Data Is Enough

Every day millions of people read Wikipedia. When navigating the vast sp...

0 Akhil Arora, et al. ∙

∙ 12/22/2021

A Large-Scale Characterization of How Readers Browse Wikipedia

Despite the importance and pervasiveness of Wikipedia as one of the larg...

0 Tiziano Piccardi, et al. ∙

∙ 06/30/2021

Multilayer Networks for Text Analysis with Multiple Data Types

We are interested in the widespread problem of clustering documents and ...

0 Charles C. Hyland, et al. ∙

∙ 05/31/2021

A Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach

Hyperlinks constitute the backbone of the Web; they enable user navigati...

0 Martin Gerlach, et al. ∙

∙ 02/26/2021

Language-agnostic Topic Classification for Wikipedia

A major challenge for many analyses of Wikipedia dynamics – e.g., imbala...

0 Isaac Johnson, et al. ∙

∙ 08/27/2020

A Taxonomy of Knowledge Gaps for Wikimedia Projects (First Draft)

In January 2019, prompted by the Wikimedia Movement's 2030 strategic dir...

0 Miriam Redi, et al. ∙

∙ 01/28/2019

A new evaluation framework for topic modeling algorithms based on synthetic corpora

Topic models are in widespread use in natural language processing and be...

0 Hanyu Shi, et al. ∙

∙ 12/19/2018

A standardized Project Gutenberg corpus for statistical analysis of natural language and quantitative linguistics

The use of Project Gutenberg (PG) as a text corpus has been extremely po...

0 Martin Gerlach, et al. ∙

∙ 08/04/2017

A network approach to topic models

One of the main computational and scientific challenges in the modern ag...

0 Martin Gerlach, et al. ∙

∙ 06/27/2017

Using text analysis to quantify the similarity and evolution of scientific disciplines

We use an information-theoretic measure of linguistic similarity to inve...

0 Laercio Dias, et al. ∙

∙ 11/11/2016

Generalized Entropies and the Similarity of Texts

We show how generalized Gibbs-Shannon entropies can provide new insights...

0 Eduardo G. Altmann, et al. ∙

∙ 10/01/2015

Similarity of symbol frequency distributions with heavy tails

Quantifying the similarity between symbolic sequences is a traditional p...

0 Martin Gerlach, et al. ∙

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