Cover Image

EEVEE: An Easy Annotation Tool for Natural Language Processing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sorensen, Axel, Peng, Siyao, Plank, Barbara, van der Goot, Rob
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers
by: Müller-Eberstein, Max, et al.
Published: (2025)

Exploring Large Language Models to generate Easy to Read content
by: Martínez, Paloma, et al.
Published: (2024)

Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
by: Chen, Keyu, et al.
Published: (2024)

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
by: Ou, Yixin, et al.
Published: (2024)

The "Colonial Impulse" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based Biases
by: Das, Dipto, et al.
Published: (2024)

Autograding Mathematical Induction Proofs with Natural Language Processing
by: Zhao, Chenyan, et al.
Published: (2024)

Natural Language Communication with a Teachable Agent
by: Love, Rachel, et al.
Published: (2022)

Entity Linking in the Job Market Domain
by: Zhang, Mike, et al.
Published: (2024)

SQLucid: Grounding Natural Language Database Queries with Interactive Explanations
by: Tian, Yuan, et al.
Published: (2024)

Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
by: Atf, Zahra, et al.
Published: (2025)

Revisiting Active Learning under (Human) Label Variation
by: Gruber, Cornelia, et al.
Published: (2025)

MEGAnno+: A Human-LLM Collaborative Annotation System
by: Kim, Hannah, et al.
Published: (2024)

ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
by: Huang, Chen, et al.
Published: (2024)

Personas with Attitudes: Controlling LLMs for Diverse Data Annotation
by: Fröhling, Leon, et al.
Published: (2024)

Sandpiper: Orchestrated AI-Annotation for Educational Discourse at Scale
by: Hedley, Daryl, et al.
Published: (2026)

Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges
by: Dhaini, Mahdi, et al.
Published: (2025)

Generative User-Experience Research for Developing Domain-specific Natural Language Processing Applications
by: Zhukova, Anastasia, et al.
Published: (2023)

What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
by: Hedderich, Michael A., et al.
Published: (2025)

Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP
by: Gautam, Sanjana, et al.
Published: (2024)

A Comparative Study on Annotation Quality of Crowdsourcing and LLM via Label Aggregation
by: Li, Jiyi
Published: (2024)

MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA Datasets
by: Dihan, Mahir Labib, et al.
Published: (2024)

Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns
by: Liu, Naiming, et al.
Published: (2025)

Language Models as Critical Thinking Tools: A Case Study of Philosophers
by: Ye, Andre, et al.
Published: (2024)

Robot Tasks with Fuzzy Time Requirements from Natural Language Instructions
by: Sucker, Sascha, et al.
Published: (2024)

Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
by: Zheng, Mingqian, et al.
Published: (2025)

Can Large Language Models generalize analogy solving like children can?
by: Stevenson, Claire E., et al.
Published: (2024)

"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth
by: Li, Yaqiong, et al.
Published: (2025)

Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets
by: Giorgi, Tommaso, et al.
Published: (2024)

Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
by: Miao, Ziyang, et al.
Published: (2025)

ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness
by: Tao, Yufei, et al.
Published: (2024)

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
by: Calderon, Nitay, et al.
Published: (2025)

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
by: Xu, Ziwen, et al.
Published: (2025)

KARRIEREWEGE: A Large Scale Career Path Prediction Dataset
by: Senger, Elena, et al.
Published: (2024)

Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings
by: Senger, Elena, et al.
Published: (2024)

NSP: A Neuro-Symbolic Natural Language Navigational Planner
by: English, William, et al.
Published: (2024)

SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalists
by: Khellaf, Lynn, et al.
Published: (2025)

Extended Version: It Should Be Easy but... New Users Experiences and Challenges with Secret Management Tools
by: Neil, Lorenzo, et al.
Published: (2025)

The Impact of Featuring Comments in Online Discussions
by: Waterschoot, Cedric, et al.
Published: (2024)

Human Preferences for Constructive Interactions in Language Model Alignment
by: Kyrychenko, Yara, et al.
Published: (2025)

PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying
by: Chan, Robin Shing Moon, et al.
Published: (2026)