paper-with-me

Papers

Does network complexity help organize Babel's library?

2014-09-23 · Juan Pablo Cárdenas, Iván González, Gerardo Vidal, Miguel Fuentes

In this work, we study properties of texts from the perspective of complex network theory. Words in given texts are linked by co-occurrence and transformed into networks, and we observe that these display topological properties common to other complex systems. However, there are some properties that seem to be exclusive to texts; many of these properties depend on the frequency of words in the text, while others seem to be strictly determined by the grammar. Precisely, these properties allow for a categorization of texts as either with a sense and others encoded or senseless.

📄 PDF Abstract BibTeX arXiv:1409.7336

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

pytopicgram: A library for data extraction and topic modeling from Telegram channels

2025-02-07 · J. Gómez-Romero, J. Cantón Correa, R. Pérez Mercado, F. Prados Abad 외

Telegram is a popular platform for public communication, generating large amounts of messages through its channels. pytopicgram is a Python library that helps researchers collect, organize, and analyze these Telegram mes…

Retrieval

Using BabelNet to Improve OOV Coverage in SMT

2016-05-01 · LREC 2016 5 · Jinhua Du, Andy Way, Andrzej Zydron

Out-of-vocabulary words (OOVs) are a ubiquitous and difficult problem in statistical machine translation (SMT). This paper studies different strategies of using BabelNet to alleviate the negative impact brought about by …

Domain AdaptationMachine TranslationTranslation

Self-Organized Operational Neural Networks with Generative Neurons

2020-04-24 · Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince 외

Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neu…

Computational EfficiencyDiversity

Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification

2021-09-21 · Youngseog Chung, Ian Char, Han Guo, Jeff Schneider 외

With increasing deployment of machine learning systems in various real-world tasks, there is a greater need for accurate quantification of predictive uncertainty. While the common goal in uncertainty quantification (UQ) …

BIG-bench Machine LearningUncertainty Quantification

Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts

2020-07-01 · ACL 2020 6 · Agostina Calabrese, Michele Bevilacqua, Roberto Navigli

Thanks to the wealth of high-quality annotated images available in popular repositories such as ImageNet, multimodal language-vision research is in full bloom. However, events, feelings and many other kinds of concepts w…