Zapis dokaza metode

Information Extraction

Information extraction (IE) is a natural-language-processing task that converts unstructured text into structured information — such as events, relations, and attributes — so that facts buried in free-form documents become machine-readable records. The task was consolidated in early surveys by Cowie and Lehnert (1996) and later by Grishman (2012).

Sources recorded, not reviewed

Izvorni zapis

Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.

Information Extraction (IE)

Taksonomski zapis metode · process-pipeline / text-mining

Cowie, J. & Lehnert, W. (1996). Information Extraction. Communications of the ACM. · DOI 10.1145/234173.234209
Grishman, R. (2012). Information Extraction. In Handbook of Natural Language Processing. · ISBN 9781420085921

Otvori cijelu metodu

Uređene tvrdnje

Tvrdnje pohranjene u knjigu dokaza, svaka s vlastitom procjenom.

Nema uređenih tvrdnji

Ovaj prikaz ne izmišlja procjenu tvrdnje kada knjiga dokaza nema nijednu.

Povezane metode

Generirano iz grafa metode i prikazano kao strojno predložene relacije — ne implicira se nikakva tvrdnja dokaza.

Same method familyNamed Entity Recognitionmachine-suggested · Relational suggestion, not evidence.Same method familyRelation Extractionmachine-suggested · Relational suggestion, not evidence.Same method familySemantic Similaritymachine-suggested · Relational suggestion, not evidence.Same method familyText Summarizationmachine-suggested · Relational suggestion, not evidence.