paper-with-me

Papers

Network Visualisations for Exploring Political Concepts

2017-01-01 · WS 2017 1 · Paul Nulty
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Community DetectionTopic Models

Similar Papers 제목 키워드 기반

`Fighting' or `Conflict'? An Approach to Revealing Concepts of Terms in Political Discourse

2017-09-01 · WS 2017 9 · Linyuan Tang, Kyo Kageura

Previous work on the epistemology of fact-checking indicated the dilemma between the needs of binary answers for the public and ambiguity of political discussion. Determining concepts represented by terms in political di…

ClusteringFact CheckingSmall Data Image ClassificationWord Sense Disambiguation

Russian-Tatar Socio-Political Thesaurus: Methodology, Challenges, the Status of the Project

2017-09-01 · RANLP 2017 9 · Alfiya Galieva, Olga Nevzorova, Dilyara Yakubova

This paper discusses the general methodology and important practical aspects of implementing a new bilingual lexical resource {--} the Russian-Tatar Socio-Political Thesaurus that is being developed on the basis of the R…

Specificity

Impact of LiDAR visualisations on semantic segmentation of archaeological objects

2024-04-08 · Raveerat Jaturapitpornchai, Giulio Poggi, Gregory Sech, Ziga Kokalj 외

Deep learning methods in LiDAR-based archaeological research often leverage visualisation techniques derived from Digital Elevation Models to enhance characteristics of archaeological objects present in the images. This …

Deep LearningSemantic Segmentation

Going Beyond T-SNE: Exposing whatlies in Text Embeddings

2020-11-01 · EMNLP (NLPOSS) 2020 11 · Vincent Warmerdam, Thomas Kober, Rachael Tatman

We introduce whatlies, an open source toolkit for visually inspecting word and sentence embeddings. The project offers a unified and extensible API with current support for a range of popular embedding backends including…

Dimensionality ReductionSentenceSentence EmbeddingsWord Embeddings

Prompt fidelity of ChatGPT4o / Dall-E3 text-to-image visualisations

2025-10-21 · Dirk HR Spennemann arxiv

This study examines the prompt fidelity of ChatGPT4o / DALL-E3 text-to-image visualisations by analysing whether attributes explicitly specified in autogenously generated prompts are correctly rendered in the resulting i…

Bias Detection