Green, R.: Automated identification of frame semantic relational structures (2000)
0.00
0.0030970925 = product of:
0.009291277 = sum of:
0.009291277 = weight(_text_:a in 110) [ClassicSimilarity], result of:
0.009291277 = score(doc=110,freq=8.0), product of:
0.05209492 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.045180224 = queryNorm
0.17835285 = fieldWeight in 110, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.0546875 = fieldNorm(doc=110)
0.33333334 = coord(1/3)
- Abstract
- Preliminary attempts to identify semantic frames and their internal structure automatically have met with a degree of success. In a first stage, clustering is used to detect 4 previously identified semantic frames (COMMERCIAL TRANSACTION, HIT, JUDGING, RISK) from verb definitions in Longman's Dictionary of Contemporary English. In a second stage, nouns used in the definitions of frame-invoking verbs or in whose definitions the frame-invoking verbs occur in certain forms are searched in WordNet to identify frame elements. Suggestions for refinement of the processes are discussed
- Type
- a
