Document (#42106)

Author

Vo, D.-T.
Bagheri, E.

Title

Feature-enriched matrix factorization for relation extraction

Source

Information processing and management. 56(2019) no.3, S.424-444

Year

2019

Abstract

Relation extraction aims at finding meaningful relationships between two named entities from within unstructured textual content. In this paper, we define the problem of information extraction as a matrix completion problem where we employ the notion of universal schemas formed as a collection of patterns derived from open information extraction systems as well as additional features derived from grammatical clause patterns and statistical topic models. One of the challenges with earlier work that employ matrix completion methods is that such approaches require a sufficient number of observed relation instances to be able to make predictions. However, in practice there is often insufficient number of explicit evidence supporting each relation type that could be used within the matrix model. Hence, existing work suffer from a low recall. In our work, we extend the work in the state of the art by proposing novel ways of integrating two sets of features, i.e., topic models and grammatical clause structures, for alleviating the low recall problem. More specifically, we propose that it is possible to (1) employ grammatical clause information from textual sentences to serve as an implicit indication of relation type and argument similarity. The basis for this is that it is likely that similar relation types and arguments are observed within similar grammatical structures, and (2) benefit from statistical topic models to determine similarity between relation types and arguments. We employ statistical topic models to determine relation type and argument similarity based on their co-occurrence within the same topics. We have performed extensive experiments based on both gold standard and silver standard datasets. The experiments show that our approach has been able to address the low recall problem in existing methods, by showing an improvement of 21% on recall and 8% on f-measure over the state of the art baseline.

Content

Vgl.: https://doi.org/10.1016/j.ipm.2018.10.011.

Theme

Semantisches Umfeld in Indexierung u. Retrieval

Similar documents (content)

1. Schutz, A.; Buitelaar, P.: RelExt: a tool for relation extraction from text in ontology extension (2005) 0.22

   0.2183612 = sum of:
     0.2183612 = product of:
       0.68237877 = sum of:
         0.061424505 = weight(abstract_txt:arguments in 2078) [ClassicSimilarity], result of:
           0.061424505 = score(doc=2078,freq=1.0), product of:
             0.14492281 = queryWeight, product of:
               1.2735806 = boost
               6.7814865 = idf(docFreq=136, maxDocs=44421)
               0.016779747 = queryNorm
             0.4238429 = fieldWeight in 2078, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.7814865 = idf(docFreq=136, maxDocs=44421)
               0.0625 = fieldNorm(doc=2078)
         0.021434436 = weight(abstract_txt:work in 2078) [ClassicSimilarity], result of:
           0.021434436 = score(doc=2078,freq=1.0), product of:
             0.09050245 = queryWeight, product of:
               1.4233222 = boost
               3.7894108 = idf(docFreq=2729, maxDocs=44421)
               0.016779747 = queryNorm
             0.23683818 = fieldWeight in 2078, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.7894108 = idf(docFreq=2729, maxDocs=44421)
               0.0625 = fieldNorm(doc=2078)
         0.018235711 = weight(abstract_txt:that in 2078) [ClassicSimilarity], result of:
           0.018235711 = score(doc=2078,freq=4.0), product of:
             0.06168697 = queryWeight, product of:
               1.5544932 = boost
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.016779747 = queryNorm
             0.2956169 = fieldWeight in 2078, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.0625 = fieldNorm(doc=2078)
         0.021502664 = weight(abstract_txt:from in 2078) [ClassicSimilarity], result of:
           0.021502664 = score(doc=2078,freq=3.0), product of:
             0.071984194 = queryWeight, product of:
               1.5546665 = boost
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.016779747 = queryNorm
             0.29871368 = fieldWeight in 2078, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.0625 = fieldNorm(doc=2078)
         0.050412815 = weight(abstract_txt:statistical in 2078) [ClassicSimilarity], result of:
           0.050412815 = score(doc=2078,freq=1.0), product of:
             0.14542308 = queryWeight, product of:
               1.5625012 = boost
               5.5466094 = idf(docFreq=470, maxDocs=44421)
               0.016779747 = queryNorm
             0.3466631 = fieldWeight in 2078, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.5466094 = idf(docFreq=470, maxDocs=44421)
               0.0625 = fieldNorm(doc=2078)
         0.09352041 = weight(abstract_txt:extraction in 2078) [ClassicSimilarity], result of:
           0.09352041 = score(doc=2078,freq=1.0), product of:
             0.24165171 = queryWeight, product of:
               2.3257766 = boost
               6.192079 = idf(docFreq=246, maxDocs=44421)
               0.016779747 = queryNorm
             0.38700494 = fieldWeight in 2078, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.192079 = idf(docFreq=246, maxDocs=44421)
               0.0625 = fieldNorm(doc=2078)
         0.20263547 = weight(abstract_txt:grammatical in 2078) [ClassicSimilarity], result of:
           0.20263547 = score(doc=2078,freq=1.0), product of:
             0.4046342 = queryWeight, product of:
               3.0095694 = boost
               8.0125885 = idf(docFreq=39, maxDocs=44421)
               0.016779747 = queryNorm
             0.5007868 = fieldWeight in 2078, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.0125885 = idf(docFreq=39, maxDocs=44421)
               0.0625 = fieldNorm(doc=2078)
         0.21321277 = weight(abstract_txt:relation in 2078) [ClassicSimilarity], result of:
           0.21321277 = score(doc=2078,freq=3.0), product of:
             0.36567676 = queryWeight, product of:
               4.046101 = boost
               5.38611 = idf(docFreq=552, maxDocs=44421)
               0.016779747 = queryNorm
             0.5830635 = fieldWeight in 2078, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               5.38611 = idf(docFreq=552, maxDocs=44421)
               0.0625 = fieldNorm(doc=2078)
       0.32 = coord(8/25)
   

2. Fang, L.; Tuan, L.A.; Hui, S.C.; Wu, L.: Syntactic based approach for grammar question retrieval (2018) 0.21

   0.21021762 = sum of:
     0.21021762 = product of:
       0.75077724 = sum of:
         0.05911401 = weight(abstract_txt:textual in 86) [ClassicSimilarity], result of:
           0.05911401 = score(doc=86,freq=2.0), product of:
             0.112122454 = queryWeight, product of:
               1.1202227 = boost
               5.9648952 = idf(docFreq=309, maxDocs=44421)
               0.016779747 = queryNorm
             0.5272272 = fieldWeight in 86, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.9648952 = idf(docFreq=309, maxDocs=44421)
               0.0625 = fieldNorm(doc=86)
         0.009117856 = weight(abstract_txt:that in 86) [ClassicSimilarity], result of:
           0.009117856 = score(doc=86,freq=1.0), product of:
             0.06168697 = queryWeight, product of:
               1.5544932 = boost
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.016779747 = queryNorm
             0.14780845 = fieldWeight in 86, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.0625 = fieldNorm(doc=86)
         0.012414569 = weight(abstract_txt:from in 86) [ClassicSimilarity], result of:
           0.012414569 = score(doc=86,freq=1.0), product of:
             0.071984194 = queryWeight, product of:
               1.5546665 = boost
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.016779747 = queryNorm
             0.17246243 = fieldWeight in 86, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.0625 = fieldNorm(doc=86)
         0.050412815 = weight(abstract_txt:statistical in 86) [ClassicSimilarity], result of:
           0.050412815 = score(doc=86,freq=1.0), product of:
             0.14542308 = queryWeight, product of:
               1.5625012 = boost
               5.5466094 = idf(docFreq=470, maxDocs=44421)
               0.016779747 = queryNorm
             0.3466631 = fieldWeight in 86, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.5466094 = idf(docFreq=470, maxDocs=44421)
               0.0625 = fieldNorm(doc=86)
         0.15394332 = weight(abstract_txt:similarity in 86) [ClassicSimilarity], result of:
           0.15394332 = score(doc=86,freq=7.0), product of:
             0.16001005 = queryWeight, product of:
               1.6389939 = boost
               5.8181453 = idf(docFreq=358, maxDocs=44421)
               0.016779747 = queryNorm
             0.9620853 = fieldWeight in 86, product of:
               2.6457512 = tf(freq=7.0), with freq of:
                 7.0 = termFreq=7.0
               5.8181453 = idf(docFreq=358, maxDocs=44421)
               0.0625 = fieldNorm(doc=86)
         0.060503785 = weight(abstract_txt:problem in 86) [ClassicSimilarity], result of:
           0.060503785 = score(doc=86,freq=3.0), product of:
             0.12533343 = queryWeight, product of:
               1.674968 = boost
               4.4593854 = idf(docFreq=1396, maxDocs=44421)
               0.016779747 = queryNorm
             0.4827426 = fieldWeight in 86, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               4.4593854 = idf(docFreq=1396, maxDocs=44421)
               0.0625 = fieldNorm(doc=86)
         0.40527093 = weight(abstract_txt:grammatical in 86) [ClassicSimilarity], result of:
           0.40527093 = score(doc=86,freq=4.0), product of:
             0.4046342 = queryWeight, product of:
               3.0095694 = boost
               8.0125885 = idf(docFreq=39, maxDocs=44421)
               0.016779747 = queryNorm
             1.0015736 = fieldWeight in 86, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               8.0125885 = idf(docFreq=39, maxDocs=44421)
               0.0625 = fieldNorm(doc=86)
       0.28 = coord(7/25)
   

3. Ru, C.; Tang, J.; Li, S.; Xie, S.; Wang, T.: Using semantic similarity to reduce wrong labels in distant supervision for relation extraction (2018) 0.18

   0.17599532 = sum of:
     0.17599532 = product of:
       0.73331386 = sum of:
         0.018235711 = weight(abstract_txt:that in 55) [ClassicSimilarity], result of:
           0.018235711 = score(doc=55,freq=4.0), product of:
             0.06168697 = queryWeight, product of:
               1.5544932 = boost
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.016779747 = queryNorm
             0.2956169 = fieldWeight in 55, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.0625 = fieldNorm(doc=55)
         0.017556852 = weight(abstract_txt:from in 55) [ClassicSimilarity], result of:
           0.017556852 = score(doc=55,freq=2.0), product of:
             0.071984194 = queryWeight, product of:
               1.5546665 = boost
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.016779747 = queryNorm
             0.2438987 = fieldWeight in 55, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.0625 = fieldNorm(doc=55)
         0.08228617 = weight(abstract_txt:similarity in 55) [ClassicSimilarity], result of:
           0.08228617 = score(doc=55,freq=2.0), product of:
             0.16001005 = queryWeight, product of:
               1.6389939 = boost
               5.8181453 = idf(docFreq=358, maxDocs=44421)
               0.016779747 = queryNorm
             0.51425624 = fieldWeight in 55, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.8181453 = idf(docFreq=358, maxDocs=44421)
               0.0625 = fieldNorm(doc=55)
         0.038922805 = weight(abstract_txt:models in 55) [ClassicSimilarity], result of:
           0.038922805 = score(doc=55,freq=1.0), product of:
             0.13470645 = queryWeight, product of:
               1.7364699 = boost
               4.623126 = idf(docFreq=1185, maxDocs=44421)
               0.016779747 = queryNorm
             0.28894538 = fieldWeight in 55, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.623126 = idf(docFreq=1185, maxDocs=44421)
               0.0625 = fieldNorm(doc=55)
         0.18704082 = weight(abstract_txt:extraction in 55) [ClassicSimilarity], result of:
           0.18704082 = score(doc=55,freq=4.0), product of:
             0.24165171 = queryWeight, product of:
               2.3257766 = boost
               6.192079 = idf(docFreq=246, maxDocs=44421)
               0.016779747 = queryNorm
             0.7740099 = fieldWeight in 55, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               6.192079 = idf(docFreq=246, maxDocs=44421)
               0.0625 = fieldNorm(doc=55)
         0.3892715 = weight(abstract_txt:relation in 55) [ClassicSimilarity], result of:
           0.3892715 = score(doc=55,freq=10.0), product of:
             0.36567676 = queryWeight, product of:
               4.046101 = boost
               5.38611 = idf(docFreq=552, maxDocs=44421)
               0.016779747 = queryNorm
             1.0645235 = fieldWeight in 55, product of:
               3.1622777 = tf(freq=10.0), with freq of:
                 10.0 = termFreq=10.0
               5.38611 = idf(docFreq=552, maxDocs=44421)
               0.0625 = fieldNorm(doc=55)
       0.24 = coord(6/25)
   

4. Xiao, D.; Ji, Y.; Li, Y.; Zhuang, F.; Shi, C.: Coupled matrix factorization and topic modeling for aspect mining (2018) 0.17

   0.1747348 = sum of:
     0.1747348 = product of:
       0.6240529 = sum of:
         0.029734619 = weight(abstract_txt:experiments in 42) [ClassicSimilarity], result of:
           0.029734619 = score(doc=42,freq=1.0), product of:
             0.0893478 = queryWeight, product of:
               5.324741 = idf(docFreq=587, maxDocs=44421)
               0.016779747 = queryNorm
             0.3327963 = fieldWeight in 42, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.324741 = idf(docFreq=587, maxDocs=44421)
               0.0625 = fieldNorm(doc=42)
         0.012894595 = weight(abstract_txt:that in 42) [ClassicSimilarity], result of:
           0.012894595 = score(doc=42,freq=2.0), product of:
             0.06168697 = queryWeight, product of:
               1.5544932 = boost
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.016779747 = queryNorm
             0.20903271 = fieldWeight in 42, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.0625 = fieldNorm(doc=42)
         0.017556852 = weight(abstract_txt:from in 42) [ClassicSimilarity], result of:
           0.017556852 = score(doc=42,freq=2.0), product of:
             0.071984194 = queryWeight, product of:
               1.5546665 = boost
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.016779747 = queryNorm
             0.2438987 = fieldWeight in 42, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.0625 = fieldNorm(doc=42)
         0.03493188 = weight(abstract_txt:problem in 42) [ClassicSimilarity], result of:
           0.03493188 = score(doc=42,freq=1.0), product of:
             0.12533343 = queryWeight, product of:
               1.674968 = boost
               4.4593854 = idf(docFreq=1396, maxDocs=44421)
               0.016779747 = queryNorm
             0.2787116 = fieldWeight in 42, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.4593854 = idf(docFreq=1396, maxDocs=44421)
               0.0625 = fieldNorm(doc=42)
         0.101689406 = weight(abstract_txt:topic in 42) [ClassicSimilarity], result of:
           0.101689406 = score(doc=42,freq=4.0), product of:
             0.16097167 = queryWeight, product of:
               1.8982254 = boost
               5.053779 = idf(docFreq=770, maxDocs=44421)
               0.016779747 = queryNorm
             0.6317224 = fieldWeight in 42, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               5.053779 = idf(docFreq=770, maxDocs=44421)
               0.0625 = fieldNorm(doc=42)
         0.253158 = weight(abstract_txt:matrix in 42) [ClassicSimilarity], result of:
           0.253158 = score(doc=42,freq=4.0), product of:
             0.29568326 = queryWeight, product of:
               2.5726838 = boost
               6.849437 = idf(docFreq=127, maxDocs=44421)
               0.016779747 = queryNorm
             0.85617965 = fieldWeight in 42, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               6.849437 = idf(docFreq=127, maxDocs=44421)
               0.0625 = fieldNorm(doc=42)
         0.1740875 = weight(abstract_txt:relation in 42) [ClassicSimilarity], result of:
           0.1740875 = score(doc=42,freq=2.0), product of:
             0.36567676 = queryWeight, product of:
               4.046101 = boost
               5.38611 = idf(docFreq=552, maxDocs=44421)
               0.016779747 = queryNorm
             0.47606933 = fieldWeight in 42, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               5.38611 = idf(docFreq=552, maxDocs=44421)
               0.0625 = fieldNorm(doc=42)
       0.28 = coord(7/25)
   

5. Gonzalez-Agirre, A.; Rigau, G.; Agirre, E.; Aletras, N.; Stevenson, M.: Why are these similar? : investigating item similarity types in a large digital library (2016) 0.17

   0.16768749 = sum of:
     0.16768749 = product of:
       0.46579856 = sum of:
         0.03334109 = weight(abstract_txt:able in 4013) [ClassicSimilarity], result of:
           0.03334109 = score(doc=4013,freq=1.0), product of:
             0.0964337 = queryWeight, product of:
               1.0388969 = boost
               5.531857 = idf(docFreq=477, maxDocs=44421)
               0.016779747 = queryNorm
             0.34574106 = fieldWeight in 4013, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.531857 = idf(docFreq=477, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
         0.041799918 = weight(abstract_txt:textual in 4013) [ClassicSimilarity], result of:
           0.041799918 = score(doc=4013,freq=1.0), product of:
             0.112122454 = queryWeight, product of:
               1.1202227 = boost
               5.9648952 = idf(docFreq=309, maxDocs=44421)
               0.016779747 = queryNorm
             0.37280595 = fieldWeight in 4013, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.9648952 = idf(docFreq=309, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
         0.05198039 = weight(abstract_txt:type in 4013) [ClassicSimilarity], result of:
           0.05198039 = score(doc=4013,freq=2.0), product of:
             0.11780284 = queryWeight, product of:
               1.4063116 = boost
               4.992163 = idf(docFreq=819, maxDocs=44421)
               0.016779747 = queryNorm
             0.44124904 = fieldWeight in 4013, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.992163 = idf(docFreq=819, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
         0.012894595 = weight(abstract_txt:that in 4013) [ClassicSimilarity], result of:
           0.012894595 = score(doc=4013,freq=2.0), product of:
             0.06168697 = queryWeight, product of:
               1.5544932 = boost
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.016779747 = queryNorm
             0.20903271 = fieldWeight in 4013, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               2.3649352 = idf(docFreq=11344, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
         0.012414569 = weight(abstract_txt:from in 4013) [ClassicSimilarity], result of:
           0.012414569 = score(doc=4013,freq=1.0), product of:
             0.071984194 = queryWeight, product of:
               1.5546665 = boost
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.016779747 = queryNorm
             0.17246243 = fieldWeight in 4013, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               2.759399 = idf(docFreq=7646, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
         0.028986203 = weight(abstract_txt:within in 4013) [ClassicSimilarity], result of:
           0.028986203 = score(doc=4013,freq=1.0), product of:
             0.11067423 = queryWeight, product of:
               1.5739695 = boost
               4.19049 = idf(docFreq=1827, maxDocs=44421)
               0.016779747 = queryNorm
             0.2619056 = fieldWeight in 4013, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.19049 = idf(docFreq=1827, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
         0.10077956 = weight(abstract_txt:similarity in 4013) [ClassicSimilarity], result of:
           0.10077956 = score(doc=4013,freq=3.0), product of:
             0.16001005 = queryWeight, product of:
               1.6389939 = boost
               5.8181453 = idf(docFreq=358, maxDocs=44421)
               0.016779747 = queryNorm
             0.6298327 = fieldWeight in 4013, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               5.8181453 = idf(docFreq=358, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
         0.060503785 = weight(abstract_txt:problem in 4013) [ClassicSimilarity], result of:
           0.060503785 = score(doc=4013,freq=3.0), product of:
             0.12533343 = queryWeight, product of:
               1.674968 = boost
               4.4593854 = idf(docFreq=1396, maxDocs=44421)
               0.016779747 = queryNorm
             0.4827426 = fieldWeight in 4013, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               4.4593854 = idf(docFreq=1396, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
         0.12309845 = weight(abstract_txt:relation in 4013) [ClassicSimilarity], result of:
           0.12309845 = score(doc=4013,freq=1.0), product of:
             0.36567676 = queryWeight, product of:
               4.046101 = boost
               5.38611 = idf(docFreq=552, maxDocs=44421)
               0.016779747 = queryNorm
             0.33663186 = fieldWeight in 4013, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.38611 = idf(docFreq=552, maxDocs=44421)
               0.0625 = fieldNorm(doc=4013)
       0.36 = coord(9/25)