ARXIV:2603.15523 · KEYPHRASE EXTRACTION · SUBMITTED 18 MAR · 22:54 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

Q: What products could be built from this research?

Why now — timing and market conditions: The rise of LLMs has made language-specific NLP more accessible, and there's growing demand for tools that support non-English languages, especially in the EU where Slovak is an official language. The dataset's release creates an immediate opportunity to build commercial solutions without the upfront data collection cost.

Q: What are the practical use cases?

A Slovak academic journal could use this technology to automatically generate keyphrases for newly submitted papers, streamlining the editorial process and ensuring consistent metadata for indexing and search.

arXiv

SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

Blocked on Code›Score8.0Evidence unverified

Opportunity summary

Pain SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

Evidence 0 refs | 0 sources | 50% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing. We address this gap for Slovak by constructing a dataset of 227,432 scientific…

METHOD

Full abstract

Keyphrase extraction for morphologically rich, low-resource languages remains understudied, largely due to the scarcity of suitable evaluation datasets. We address this gap for Slovak by constructing a dataset of 227,432 scientific abstracts with author-assigned keyphrases -- scraped and systematically cleaned from the Slovak Central Register of Theses -- representing a 25-fold increase over the largest prior Slovak resource and approaching the scale of established English benchmarks such as KP20K. Using this dataset, we benchmark three unsupervised baselines (YAKE, TextRank, KeyBERT with SlovakBERT embeddings) and evaluate KeyLLM, an LLM-based extraction method using GPT-3.5-turbo. Unsupervised baselines achieve at most 11.6\% exact-match $F1@6$, with a large gap to partial matching (up to 51.5\%), reflecting the difficulty of matching inflected surface forms to author-assigned keyphrases. KeyLLM narrows this exact--partial gap, producing keyphrases closer to the canonical forms assigned by authors, while manual evaluation on 100 documents ($κ= 0.61$) confirms that KeyLLM captures relevant concepts that automated exact matching underestimates. Our analysis identifies morphological mismatch as the dominant failure mode for statistical methods -- a finding relevant to other inflected languages. The dataset (https://huggingface.co/datasets/NaiveNeuron/SlovKE) and evaluation code (https://github.com/NaiveNeuron/SlovKE) are publicly available.

RESULT

ScienceToStartup currently rates this 8.0/10 on the public viability pass. Unsupervised baselines achieve at most 11.6\% exact-match $F1@6$, with a large gap to partial matching (up to 51.5\%), reflecting the difficulty of matching inflected…

WHY NOW

Keyphrase Extraction moved forward this cycle; last verified April 2026. Public score 8.0/10. Implementation evidence is present through a linked repository.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score8.0

PainSlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

Evidence0 refs | 0 sources | 50% coverage

Blockermissing authors

Analysis summary

SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

ARXIV:2603.15523 · KEYPHRASE EXTRACTION · SUBMITTED 18 MAR · 22:54 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

arXiv

SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

Blocked on Code›Score8.0Evidence unverified

Opportunity summary

Pain SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

Evidence 0 refs | 0 sources | 50% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

METHOD

Full abstract

RESULT

WHY NOW

Keyphrase Extraction moved forward this cycle; last verified April 2026. Public score 8.0/10. Implementation evidence is present through a linked repository.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score8.0

PainSlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

Evidence0 refs | 0 sources | 50% coverage

Blockermissing authors

Analysis summary

SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

Paper Pack

10.48550/arXiv.2603.15523

SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

Abstract

Source availability

PDF linked

The paper record includes a public PDF URL.

Extraction status

Derived fallback

Read summaries are estimated from adjacent metadata, not verified extraction rows.

Proof status

unverified

0 refs; 0 sources; 50% coverage.

What was readable

linkedon filenot materialized8 extracted30 indexednot indexed

Derived fallback: Estimated from adjacent evidence; not verified from source.

Viability

8.0

Time to MVP

MVP estimate missing

Commercial

No commercial flags on file

Export

Preparing verified analysis

lens / founder

PROBLEM

METHOD

RESULT

WHY NOW

Keyphrase Extraction moved forward this cycle; last verified April 2026. Public score 8.0/10. Implementation evidence is present through a linked repository.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
constructing a dataset of 227,432 scientific abstracts with author-assigned keyphrases -- scraped and systematically cleaned from the Slovak Central Register of Theses -- representing a 25-fold increase over the largest prior Slovak resource
Implicationpartial
Explicitly stated in the abstract with specific numeric comparison
Verificationpartial
partial
Evidencepartial
Unsupervised baselines achieve at most 11.6% exact-match $F1@6$, with a large gap to partial matching (up to 51.5%)
Implicationpartial
Directly stated in the abstract with specific numeric results
Verificationpartial
partial
Evidencepartial
KeyLLM narrows this exact--partial gap, producing keyphrases closer to the canonical forms assigned by authors
Implicationpartial
Directly stated in the abstract with clear comparison to baselines
Verificationpartial
partial
Evidencepartial
manual evaluation on 100 documents ($κ= 0.61$) confirms that KeyLLM captures relevant concepts that automated exact matching underestimates
Implicationpartial
Explicitly stated in the abstract with specific sample size and agreement metric
Verificationpartial
partial
Evidencepartial
Our analysis identifies morphological mismatch as the dominant failure mode for statistical methods
Implicationpartial
Directly stated in the abstract as a key finding
Verificationpartial
partial
Evidencepartial
The dataset is limited to scientific abstracts, which may not generalize well to other domains like news or social media
Implicationpartial
Explicitly stated in the analysis section as a caveat
Verificationpartial
partial
Evidencepartial
LLM-based methods like KeyLLM rely on external APIs (e.g., GPT-3.5-turbo), introducing cost and latency issues for real-time applications
Implicationpartial
Explicitly stated in the analysis section as a caveat
Verificationpartial
partial
Evidencepartial
approaching the scale of established English benchmarks such as KP20K
Implicationpartial
Directly stated in the abstract with comparative language
Verificationpartial
partial

Constellation map

Paper-native neighborhood for concepts, methods, materials, markets, and competitors. Missing lanes stay labeled instead of disappearing behind commercialization gates.

Open full Signal Canvas

Concepts

not indexed

Methods

Materials

PDF linked

Markets

Keyphrase Extraction

Competitors

not indexed

Competitive landscape

SlovKE provides a large-scale dataset and LLM evaluation for keyphrase extraction in Slovak, addressing a critical gap in low-resource language processing.

Segment

Keyphrase Extraction

Adoption evidence

Public code linked for build inspection

Commercial read

8.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Buzz

No indexed public discussion is attached to 2603.15523 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.

Hacker News

Not indexed yet

Bluesky

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PDF

Preview the source document here, or use the hero PDF action for a new tab.

References(30)

EUROPA: A Legal Multilingual Keyphrase Generation Dataset

2024Olivier Salaün, Frédéric Piedboeuf et al.

GPT-4 Technical Report

2023OpenAI Josh Achiam, Steven Adler et al.

Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study

2022Di Wu, Wasi Uddin Ahmad et al.

Keyword Extraction from Short Texts with~a~Text-To-Text Transfer Transformer

2022P. Pęzik, Agnieszka Mikołajczyk-Bareła et al.

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

2022Yifan Gao, Qingyu Yin et al.

Query-Based Keyphrase Extraction from Long Documents

2022Martin Docekal, P. Smrz

Keyphrase extraction from Slovak court decisions

2022D. Varga, Šimon Horvát et al.

A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction

2021Nikolaos Giarelis, Nikos Kanakaris et al.

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning

2020Seoyeon Park, Cornelia Caragea

Dubrovnik Croatia

2020

Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings

2020Dhruva Sahrawat, Debanjan Mahata et al.

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

2020Peng Qi, Yuhao Zhang et al.

YAKE! Keyword extraction from single documents using multiple local features

2020Ricardo Campos, Vítor Mangaravite et al.

Lingua

2019Samuel Sirat, Yanzhang Wang et al.

KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents

2019Ygor Gallina, Florian Boudin et al.

A review of keyphrase extraction

2019Eirini Papagiannopoulou, Grigorios Tsoumakas

Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents

2019Rabah A. Al-Zaidy, Cornelia Caragea et al.

In no uncertain terms: a dataset for monolingual and multilingual automatic term extraction from comparable corpora

2019Ayla Rigouts Terryn, Veronique Hoste et al.

Bidirectional LSTM Recurrent Neural Network for Keyphrase Extraction

2018Marco Basaldella, Elisa Antolli et al.

Improving Language Understanding by Generative Pre-Training

2018Alec Radford, Karthik Narasimhan

Showing 20 of 30 references

CITED BY

No citing papers are indexed in the public S2S graph yet. This is an explicit zero-signal state, not a hidden lookup.

Foundation

none indexed

Extension

Builds On ThisCzechTopic: A Benchmark for Zero-Shot Topic Localization in Historical Czech Documents

4.0

Builds On ThisFrom Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text

5.0

Builds On ThisUA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning

7.0

Builds On ThisApproaches to Analysing Historical Newspapers Using LLMs

5.0

Builds On ThisSame Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation

4.0

Builds On ThisLEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval

7.0

Builds On ThisTowards Reliable Multilingual LLMs-as-a-Judge: An Empirical Study

7.0

Builds On ThisGaelEval: Benchmarking LLM Performance for Scottish Gaelic

7.0

Builds On ThisKVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs

7.0

Builds On ThisMulti-Legal-Bench: Evaluating LLMs on Legal Reasoning Across Jurisdictions, Languages, and Legal Traditions

7.0

Commercially relevant

none indexed

Conflicting

none indexed

Owned Distribution

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Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.

Agent drawer

5 surfaces preserved for agents. Humans can ignore.

Developer contracts, payload previews, evidence maps, and run controls stay here instead of the Read, Build, and Track workspace.

Run context

Paper: 2603.15523
Route: /paper/slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction
Active tab: read
Artifact: slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction

Available agents

Read extractor
Build planner
Track monitor
Competitive mapper
Related-paper scout

API/MCP endpoints

REST paper pack API/api/v1/paper/slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction/paper-pack
REST build passport API/api/v1/paper/slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction/build-passport
REST OpenAPI/api/openapi.json
MCP descriptor/api/mcp
MCP resourcesciencetostartup://surfaces/paper-workspace

Tool contracts

paper_packbuild_passportopportunity_kernelforesightsource_proofevidence_state

Payload preview

Inspect payload

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}

Schema validation

paper-r2 contract: present
JSON-LD twin: SSR emitted
OpenAPI path parity: /api/openapi.json
MCP resource parity: paper-workspace

Job trace

queued: drawer opened by user action
running: inspect or copy payload
succeeded: payload available in SSR
failed: route errors appear in evidence cards

Evidence map

sources used: page freshness, source proof anchors, JSON-LD
missing sources: exposed by PaperPack and EvidenceState chips
derived fallbacks: marked unverified before handoff

Page Freshness

Canonical route, proof status, last verified, refs, sources, and coverage.

Page Freshness

Paper proof surface

Canonical route: /paper/slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction

stale

Proof freshness: stale
Proof status: unverified
Display score: 8/10
Last proof check: 2026-03-18
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

OpenAlex: pending — this preprint is not yet indexed by OpenAlex.

Agent Handoff

Endpoint list, payload shape, route context, and copyable handoff data.

Agent Handoff

SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

Canonical ID slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction | Route /paper/slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/paper/slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction

MCP example

{
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}

source_context

{
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  "mode": "paper",
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  "benchmark_ref": null,
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}

Buildability Receipt

Verdict, compute envelope, blockers, signature state, and receipt links.

Paper proof page receipt window

Ready for execution: SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

/buildability/slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction

Build Nowready

Subject: SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

Verdict

Build Now

Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction

Paper ref

slovke-a-large-scale-dataset-and-llm-evaluation-for-slovak-keyphrase-extraction

arXiv id

2603.15523

Freshness

Generated at

2026-03-18T22:54:37.861Z

Evidence freshness

stale

Last verification

2026-03-18T22:54:37.861Z

Sources

References

Coverage

50%

Hash state

Lineage hash

999f027c97d181e3f66fd5099fdbb8d221f0464dc7f7d7a50089936fc07c8dc5

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

Missing: references
Missing: distribution_readiness_scores
Missing: paper_extraction_scorecards
Unknown: distribution readiness has not been computed yet

Verification pending / evidence receipt incomplete

references

distribution_readiness_scores

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Open receipt API receipt Build Loop Signal Canvas Proof divergence Divergence API Brier outcomes API

Source Proof anchors

Visual citations from the paper document graph.

JSON-LD twin

The application/ld+json payload rendered for agents.

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SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction

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