-
Shen, M.; Liu, D.-R.; Huang, Y.-S.: Extracting semantic relations to enrich domain ontologies (2012)
0.00
6.9257664E-4 = product of:
0.0013851533 = sum of:
0.0013851533 = product of:
0.00415546 = sum of:
0.00415546 = weight(_text_:s in 267) [ClassicSimilarity], result of:
0.00415546 = score(doc=267,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.08408674 = fieldWeight in 267, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=267)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
-
Bedathur, S.; Narang, A.: Mind your language : effects of spoken query formulation on retrieval effectiveness (2013)
0.00
6.9257664E-4 = product of:
0.0013851533 = sum of:
0.0013851533 = product of:
0.00415546 = sum of:
0.00415546 = weight(_text_:s in 1150) [ClassicSimilarity], result of:
0.00415546 = score(doc=1150,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.08408674 = fieldWeight in 1150, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=1150)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
-
Aizawa, A.; Kohlhase, M.: Mathematical information retrieval (2021)
0.00
6.9257664E-4 = product of:
0.0013851533 = sum of:
0.0013851533 = product of:
0.00415546 = sum of:
0.00415546 = weight(_text_:s in 667) [ClassicSimilarity], result of:
0.00415546 = score(doc=667,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.08408674 = fieldWeight in 667, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0546875 = fieldNorm(doc=667)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Pages
- S.169-185
-
Galitsky, B.: Can many agents answer questions better than one? (2005)
0.00
5.936372E-4 = product of:
0.0011872743 = sum of:
0.0011872743 = product of:
0.003561823 = sum of:
0.003561823 = weight(_text_:s in 3094) [ClassicSimilarity], result of:
0.003561823 = score(doc=3094,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.072074346 = fieldWeight in 3094, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=3094)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Abstract
- The paper addresses the issue of how online natural language question answering, based on deep semantic analysis, may compete with currently popular keyword search, open domain information retrieval systems, covering a horizontal domain. We suggest the multiagent question answering approach, where each domain is represented by an agent which tries to answer questions taking into account its specific knowledge. The meta-agent controls the cooperation between question answering agents and chooses the most relevant answer(s). We argue that multiagent question answering is optimal in terms of access to business and financial knowledge, flexibility in query phrasing, and efficiency and usability of advice. The knowledge and advice encoded in the system are initially prepared by domain experts. We analyze the commercial application of multiagent question answering and the robustness of the meta-agent. The paper suggests that a multiagent architecture is optimal when a real world question answering domain combines a number of vertical ones to form a horizontal domain.
-
Snajder, J.; Almic, P.: Modeling semantic compositionality of Croatian multiword expressions (2015)
0.00
5.936372E-4 = product of:
0.0011872743 = sum of:
0.0011872743 = product of:
0.003561823 = sum of:
0.003561823 = weight(_text_:s in 2920) [ClassicSimilarity], result of:
0.003561823 = score(doc=2920,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.072074346 = fieldWeight in 2920, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.046875 = fieldNorm(doc=2920)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Source
- Informatica. 39(2015) H.3, S.301-309
-
Sprachtechnologie : ein Überblick (2012)
0.00
4.9469766E-4 = product of:
9.893953E-4 = sum of:
9.893953E-4 = product of:
0.0029681858 = sum of:
0.0029681858 = weight(_text_:s in 1750) [ClassicSimilarity], result of:
0.0029681858 = score(doc=1750,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.060061958 = fieldWeight in 1750, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=1750)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Pages
- VIII, 239 S
-
Giesselbach, S.; Estler-Ziegler, T.: Dokumente schneller analysieren mit Künstlicher Intelligenz (2021)
0.00
4.9469766E-4 = product of:
9.893953E-4 = sum of:
9.893953E-4 = product of:
0.0029681858 = sum of:
0.0029681858 = weight(_text_:s in 128) [ClassicSimilarity], result of:
0.0029681858 = score(doc=128,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.060061958 = fieldWeight in 128, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=128)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
-
Bird, S.; Dale, R.; Dorr, B.; Gibson, B.; Joseph, M.; Kan, M.-Y.; Lee, D.; Powley, B.; Radev, D.; Tan, Y.F.: ¬The ACL Anthology Reference Corpus : a reference dataset for bibliographic research in computational linguistics (2008)
0.00
3.9575814E-4 = product of:
7.915163E-4 = sum of:
7.915163E-4 = product of:
0.0023745487 = sum of:
0.0023745487 = weight(_text_:s in 2804) [ClassicSimilarity], result of:
0.0023745487 = score(doc=2804,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.048049565 = fieldWeight in 2804, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.03125 = fieldNorm(doc=2804)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
-
Weßels, D.: ChatGPT - ein Meilenstein der KI-Entwicklung (2022)
0.00
3.9575814E-4 = product of:
7.915163E-4 = sum of:
7.915163E-4 = product of:
0.0023745487 = sum of:
0.0023745487 = weight(_text_:s in 929) [ClassicSimilarity], result of:
0.0023745487 = score(doc=929,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.048049565 = fieldWeight in 929, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.03125 = fieldNorm(doc=929)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Content
- Vgl. auch den Abdruck des Beitrages in: Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.17-19. Vgl. auch ihr Video bei Youtube: https://www.youtube.com/watch?v=cMuBo_rH15c.
-
Artemenko, O.; Shramko, M.: Entwicklung eines Werkzeugs zur Sprachidentifikation in mono- und multilingualen Texten (2005)
0.00
3.4628832E-4 = product of:
6.9257664E-4 = sum of:
6.9257664E-4 = product of:
0.00207773 = sum of:
0.00207773 = weight(_text_:s in 572) [ClassicSimilarity], result of:
0.00207773 = score(doc=572,freq=2.0), product of:
0.049418733 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.04545348 = queryNorm
0.04204337 = fieldWeight in 572, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.02734375 = fieldNorm(doc=572)
0.33333334 = coord(1/3)
0.5 = coord(1/2)
- Pages
- IV,163 S
