63 lines
2.9 KiB
Markdown
63 lines
2.9 KiB
Markdown
# Web API Gather Results - NER & Fact-Checking Research
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Generated: 2026-01-30
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---
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## Query 1: MultiNERD Entity Types
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**Claim:** `MultiNERD entity types list NER categories person organization location date time money percentage fact-checking`
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**Execution Time:** 5203ms
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### URLs Accessed
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- [Named-entity recognition - Wikipedia](https://en.wikipedia.org/wiki/Named-entity_recognition)
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- [Gold standard, multi-genre dataset for named entity recognition and linking | Scientific Data](https://www.nature.com/articles/s41597-025-05274-4)
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- [Named Entity Recognition (NER): Ultimate Guide | Encord](https://encord.com/blog/named-entity-recognition/)
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- [A Comprehensive Guide to Named Entity Recognition](https://www.turing.com/kb/a-comprehensive-guide-to-named-entity-recognition)
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- [Entity categories recognized by Named Entity Recognition in Azure](https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/named-entity-categories)
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---
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## Query 2: Fact-Checking Methodology
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**Claim:** `fact-checking entity extraction named entity recognition claim verification ClaimBuster Full Fact methodology 2024`
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**Execution Time:** 9698ms
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### URLs Accessed
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- [arxiv.org PDF 1809.08193](https://arxiv.org/pdf/1809.08193)
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- [Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics](https://arxiv.org/html/2502.04955v1)
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- [Facilitating automated fact-checking: a machine learning based weighted ensemble technique for claim detection](https://link.springer.com/article/10.1007/s42452-024-06444-6)
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- [Document-level Claim Extraction and Decontextualisation for Fact-Checking](https://arxiv.org/html/2406.03239v2)
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- [An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking](https://arxiv.org/abs/2304.05268)
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---
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## Query 3: NER Query Generation for Fact-Checking
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**Claim:** `named entity recognition query generation fact-checking entity types person organization location date event claim verification search query templates`
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**Execution Time:** 3485ms
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### URLs Accessed
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- [Tools for Named Entity Recognition | CLARIN ERIC](https://www.clarin.eu/resource-families/tools-named-entity-recognition)
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- [Named-entity recognition - Wikipedia](https://en.wikipedia.org/wiki/Named-entity_recognition)
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- [Named Entity Recognition - GeeksforGeeks](https://www.geeksforgeeks.org/nlp/named-entity-recognition/)
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- [Named Entity Recognition | Yext](https://www.yext.com/platform/features/named-entity-recognition)
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- [Named Entity Recognition on Search Engine Queries with Python - Stack Overflow](https://stackoverflow.com/questions/78151241/named-entity-recognition-on-search-engine-queries-with-python)
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---
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## Summary
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| Query | Evidence URLs | Execution Time |
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|-------|---------------|----------------|
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| 1 - MultiNERD Entity Types | 5 | 5.2s |
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| 2 - Fact-Checking Methodology | 5 | 9.7s |
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| 3 - NER Query Generation | 5 | 3.5s |
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**Total URLs:** 15
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