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Process / pipeline

Detekcija spekulacija — Analiza hedginga

Detekcija spekulacija, poznata i kao analiza hedginga, zadatak je obrade prirodnog jezika koji identifikuje markere epistemičke nesigurnosti — reči i fraze poput 'možda', 'moguće', 'sugeriše se da' — u naučnim, biomedicinskim i novinskim tekstovima. Formalizovana od strane Hajlanda (Hyland, 1996) za naučno pisanje i definisana kao reper za zadatak CoNLL-2010, ova metoda otkriva gde autori signaliziraju nepotpuno znanje, oklevanje ili distancu od tvrdnje, umesto da direktno iznose činjenice.

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Izvori

  1. Hyland, K. (1996). Writing Without Conviction? Hedging in Science Research Articles. Applied Linguistics, 17(4), 433-454. DOI: 10.1093/applin/17.4.433
  2. Farkas, R. et al. (2010). The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text. Proceedings of the Fourteenth Conference on Computational Natural Language Learning — Shared Task (CoNLL 2010), 1-12. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 1). Speculation and Uncertainty Detection (Hedging Analysis). ScholarGate. https://scholargate.app/sr/text-mining/speculation-detection

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ScholarGateSpeculation Detection (Speculation and Uncertainty Detection (Hedging Analysis)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/text-mining/speculation-detection · Skup podataka: https://doi.org/10.5281/zenodo.20539026