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TextDescriptives: A Python package for calculating a large variety of
  metrics from text
v1v2v3 (latest)

TextDescriptives: A Python package for calculating a large variety of metrics from text

Journal of Open Source Software (JOSS), 2023
5 January 2023
Lasse Hansen
L. R. Olsen
Kenneth Enevoldsen
ArXiv (abs)PDFHTML

Papers citing "TextDescriptives: A Python package for calculating a large variety of metrics from text"

11 / 11 papers shown
Title
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
François Ledoyen
Gaël Dias
Jeremie Pantin
Alexis Lechervy
Fabrice Maurel
Youssef Chahir
84
0
0
01 Oct 2025
DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
Shantanu Thorat
Andrew Caines
93
0
0
01 Aug 2025
Alignment Drift in CEFR-prompted LLMs for Interactive Spanish Tutoring
Alignment Drift in CEFR-prompted LLMs for Interactive Spanish TutoringWorkshop on Innovative Use of NLP for Building Educational Applications (UNBEA), 2025
Mina Almasi
Ross Deans Kristensen-McLachlan
239
3
0
13 May 2025
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in EducationInternational Conference on Learning Analytics and Knowledge (LAK), 2025
Ziqing Li
Mutlu Cukurova
Sahan Bulathwela
228
10
0
10 Jan 2025
Beemo: Benchmark of Expert-edited Machine-generated Outputs
Beemo: Benchmark of Expert-edited Machine-generated OutputsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ekaterina Artemova
Jason Samuel Lucas
Saranya Venkatraman
Jooyoung Lee
Sergei Tilga
Adaku Uchendu
Vladislav Mikhailov
DeLMOMoE
446
16
0
06 Nov 2024
Which LLMs are Difficult to Detect? A Detailed Analysis of Potential
  Factors Contributing to Difficulties in LLM Text Detection
Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
Shantanu Thorat
Tianbao Yang
DeLMO
140
2
0
18 Oct 2024
LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable
  Objectives
LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives
Luísa Shimabucoro
Sebastian Ruder
Julia Kreutzer
Marzieh Fadaee
Sara Hooker
SyDa
294
5
0
01 Jul 2024
Mining Reasons For And Against Vaccination From Unstructured Data Using
  Nichesourcing and AI Data Augmentation
Mining Reasons For And Against Vaccination From Unstructured Data Using Nichesourcing and AI Data Augmentation
D. Furman
Juan Junqueras
Z. B. Gümüslü
Edgar Altszyler
Joaquin Navajas
Ophélia Deroy
J. Sulik
112
1
0
28 Jun 2024
MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel
  Reviews
MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews
Oana Ignat
Xiaomeng Xu
Amélie Reymond
DeLMO
229
6
0
19 Apr 2024
Explaining Code Examples in Introductory Programming Courses: LLM vs
  Humans
Explaining Code Examples in Introductory Programming Courses: LLM vs Humans
Arun Balajiee Lekshmi Narayanan
Priti Oli
Jeevan Chapagain
Mohammad Hassany
Rabin Banjade
Peter Brusilovsky
Vasile Rus
192
8
0
09 Dec 2023
Statistical Depth for Ranking and Characterizing Transformer-Based Text
  Embeddings
Statistical Depth for Ranking and Characterizing Transformer-Based Text EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Parker Seegmiller
S. Preum
271
4
0
23 Oct 2023
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