View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (47)

[1]
Strategies for Span Labeling with Large Language Models
2026D. Semin, Ondrej Dusek et al.
[2]
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
2025Marc Marone, Orion Weller et al.
[3]
Supervised In-Context Fine-Tuning for Generative Sequence Labeling
2025David Dukić, Goran Glavas et al.
[4]
gpt-oss-120b&gpt-oss-20b Model Card
2025OpenAI Sandhini Agarwal, L. Ahmad et al.
[5]
Gemma 3 Technical Report
2025Gemma Team Aishwarya Kamath, Johan Ferret et al.
[6]
Fine-grained Fallacy Detection with Human Label Variation
2025Alan Ramponi, Agnese Daffara et al.
[7]
The Llama 3 Herd of Models
2024Abhimanyu Dubey, Abhinav Jauhri et al.
[8]
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
2024Xiaobao Wu, Thong Nguyen et al.
[9]
LTNER: Large Language Model Tagging for Named Entity Recognition with Contextualized Entity Marking
2024Faren Yan, Peng Yu et al.
[10]
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
2024Jianlv Chen, Shitao Xiao et al.
[11]
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling
2024David Duki'c, Jan Šnajder
[12]
Large Language Models for Propaganda Span Annotation
2023Maram Hasanain, Fatema Ahmed et al.
[13]
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
2023Stephen Mayhew, Terra Blevins et al.
[14]
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer
2023Urchade Zaratiana, Nadi Tomeh et al.
[15]
GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4
2023Tom Kocmi, C. Federmann
[16]
A Dataset and Strong Baselines for Classification of Czech News Texts
2023Hynek Kydl'ivcek, Jindřich Libovický
[17]
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
2023Peng Li, Tianxiang Sun et al.
[18]
GPT-NER: Named Entity Recognition via Large Language Models
2023Shuhe Wang, Xiaofei Sun et al.
[19]
C-Pack: Packaged Resources To Advance General Chinese Embedding
2023Shitao Xiao, Zheng Liu et al.
[20]
BERTopic: Neural topic modeling with a class-based TF-IDF procedure
2022M. Grootendorst

Showing 20 of 47 references

Founder's Pitch

"Develop a tool for zero-shot topic localization in historical Czech documents using a new benchmark dataset."

Historical Text AnalysisScore: 4View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

3/4 signals

7.5

Series A Potential

1/4 signals

2.5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 3/4/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.