A FAQ Search Training Method Based on Automatically Generated Questions View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-11-17

AUTHORS

Takuya Makino , Tomoya Noro , Hiyori Yoshikawa , Tomoya Iwakura , Satoshi Sekine , Kentaro Inui

ABSTRACT

We propose a FAQ search method with automatically generated questions by a question generator created from community Q&As. In our method, a search model is trained with automatically generated questions and their corresponding FAQs. We conducted experiments on a Japanese Q&A dataset created from a user support service on Twitter. The proposed method showed better Mean Reciprocal Rank and Recall@1 than a FAQ ranking model trained with the same community Q&As. More... »

PAGES

67-73

References to SciGraph publications

Book

TITLE

Information Retrieval Technology

ISBN

978-3-030-03519-8
978-3-030-03520-4

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-03520-4_7

DOI

http://dx.doi.org/10.1007/978-3-030-03520-4_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109974083


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Fujitsu (Japan)", 
          "id": "https://www.grid.ac/institutes/grid.418251.b", 
          "name": [
            "Fujitsu Laboratories Ltd., Kawasaki, Japan", 
            "RIKEN AIP, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Makino", 
        "givenName": "Takuya", 
        "id": "sg:person.012276754451.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012276754451.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fujitsu (Japan)", 
          "id": "https://www.grid.ac/institutes/grid.418251.b", 
          "name": [
            "Fujitsu Laboratories Ltd., Kawasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Noro", 
        "givenName": "Tomoya", 
        "id": "sg:person.013671715451.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013671715451.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fujitsu (Japan)", 
          "id": "https://www.grid.ac/institutes/grid.418251.b", 
          "name": [
            "Fujitsu Laboratories Ltd., Kawasaki, Japan", 
            "RIKEN AIP, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshikawa", 
        "givenName": "Hiyori", 
        "id": "sg:person.07416347706.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07416347706.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fujitsu (Japan)", 
          "id": "https://www.grid.ac/institutes/grid.418251.b", 
          "name": [
            "Fujitsu Laboratories Ltd., Kawasaki, Japan", 
            "RIKEN AIP, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwakura", 
        "givenName": "Tomoya", 
        "id": "sg:person.010334324445.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010334324445.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "RIKEN AIP, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sekine", 
        "givenName": "Satoshi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tohoku University", 
          "id": "https://www.grid.ac/institutes/grid.69566.3a", 
          "name": [
            "RIKEN AIP, Tokyo, Japan", 
            "Tohoku University, Sendai, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inui", 
        "givenName": "Kentaro", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-319-42911-3_25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011846161", 
          "https://doi.org/10.1007/978-3-319-42911-3_25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1645953.1645979", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045450636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18653/v1/d15-1166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099106144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18653/v1/p16-1056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099113493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18653/v1/d17-1090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100516775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18653/v1/d17-1091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100516776"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11-17", 
    "datePublishedReg": "2018-11-17", 
    "description": "We propose a FAQ search method with automatically generated questions by a question generator created from community Q&As. In our method, a search model is trained with automatically generated questions and their corresponding FAQs. We conducted experiments on a Japanese Q&A dataset created from a user support service on Twitter. The proposed method showed better Mean Reciprocal Rank and Recall@1 than a FAQ ranking model trained with the same community Q&As.", 
    "editor": [
      {
        "familyName": "Tseng", 
        "givenName": "Yuen-Hsien", 
        "type": "Person"
      }, 
      {
        "familyName": "Sakai", 
        "givenName": "Tetsuya", 
        "type": "Person"
      }, 
      {
        "familyName": "Jiang", 
        "givenName": "Jing", 
        "type": "Person"
      }, 
      {
        "familyName": "Ku", 
        "givenName": "Lun-Wei", 
        "type": "Person"
      }, 
      {
        "familyName": "Park", 
        "givenName": "Dae Hoon", 
        "type": "Person"
      }, 
      {
        "familyName": "Yeh", 
        "givenName": "Jui-Feng", 
        "type": "Person"
      }, 
      {
        "familyName": "Yu", 
        "givenName": "Liang-Chih", 
        "type": "Person"
      }, 
      {
        "familyName": "Lee", 
        "givenName": "Lung-Hao", 
        "type": "Person"
      }, 
      {
        "familyName": "Chen", 
        "givenName": "Zhi-Hong", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-030-03520-4_7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-030-03519-8", 
        "978-3-030-03520-4"
      ], 
      "name": "Information Retrieval Technology", 
      "type": "Book"
    }, 
    "name": "A FAQ Search Training Method Based on Automatically Generated Questions", 
    "pagination": "67-73", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-030-03520-4_7"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7bf990a202e255c21d6f76b326e50296f89045c1ecfdca9ee0eaf8f4e4307364"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1109974083"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-030-03520-4_7", 
      "https://app.dimensions.ai/details/publication/pub.1109974083"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T04:41", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000322_0000000322/records_65008_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-030-03520-4_7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-03520-4_7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-03520-4_7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-03520-4_7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-03520-4_7'


 

This table displays all metadata directly associated to this object as RDF triples.

164 TRIPLES      23 PREDICATES      32 URIs      19 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-030-03520-4_7 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N4ac0ea43ea8045ebb019beabd87719f1
4 schema:citation sg:pub.10.1007/978-3-319-42911-3_25
5 https://doi.org/10.1145/1645953.1645979
6 https://doi.org/10.18653/v1/d15-1166
7 https://doi.org/10.18653/v1/d17-1090
8 https://doi.org/10.18653/v1/d17-1091
9 https://doi.org/10.18653/v1/p16-1056
10 schema:datePublished 2018-11-17
11 schema:datePublishedReg 2018-11-17
12 schema:description We propose a FAQ search method with automatically generated questions by a question generator created from community Q&As. In our method, a search model is trained with automatically generated questions and their corresponding FAQs. We conducted experiments on a Japanese Q&A dataset created from a user support service on Twitter. The proposed method showed better Mean Reciprocal Rank and Recall@1 than a FAQ ranking model trained with the same community Q&As.
13 schema:editor Nfc797d715b60447784e421080bdb55b0
14 schema:genre chapter
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf N64d6920c67d64f88b99736d16a62a561
18 schema:name A FAQ Search Training Method Based on Automatically Generated Questions
19 schema:pagination 67-73
20 schema:productId N38b085d25b68483f9c99443078227747
21 N696a83e04cd74c72851de88c6ddc7334
22 N6df5e1cfff4d4000ad81e62ae217c817
23 schema:publisher N6908c0bb26ee4c91ae9d50f836c88f8b
24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109974083
25 https://doi.org/10.1007/978-3-030-03520-4_7
26 schema:sdDatePublished 2019-04-16T04:41
27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
28 schema:sdPublisher Nf1ec77ee81d448199986c19469613256
29 schema:url https://link.springer.com/10.1007%2F978-3-030-03520-4_7
30 sgo:license sg:explorer/license/
31 sgo:sdDataset chapters
32 rdf:type schema:Chapter
33 N01485085609a4d3db7e463375a620749 schema:familyName Yu
34 schema:givenName Liang-Chih
35 rdf:type schema:Person
36 N0782189f625b421595a447e1cd3c7ff0 rdf:first N78b4fdd224914c5da023c01ca3f0de54
37 rdf:rest Nadd6364e997c4d0aa6968854efe8d62e
38 N1266c706e46f471ca6b6318231f78cac rdf:first Nd5e6dc8b79254862966b2f4ad8d93c17
39 rdf:rest N1b0b7b03afc64006a137e46ecb995ee6
40 N1b0b7b03afc64006a137e46ecb995ee6 rdf:first N9c2b601810854e7f9788516d778bd575
41 rdf:rest rdf:nil
42 N2517843f03a5492ab5c60e875533fa0d schema:affiliation https://www.grid.ac/institutes/grid.69566.3a
43 schema:familyName Inui
44 schema:givenName Kentaro
45 rdf:type schema:Person
46 N331bfb679af54120bd8ec33b745087ca rdf:first sg:person.013671715451.17
47 rdf:rest N6631fea739df4df2af345bab29ec4f50
48 N38b085d25b68483f9c99443078227747 schema:name dimensions_id
49 schema:value pub.1109974083
50 rdf:type schema:PropertyValue
51 N4ac0ea43ea8045ebb019beabd87719f1 rdf:first sg:person.012276754451.81
52 rdf:rest N331bfb679af54120bd8ec33b745087ca
53 N4c951b1269b7431c999b3364c4938e87 schema:familyName Tseng
54 schema:givenName Yuen-Hsien
55 rdf:type schema:Person
56 N560d6985caf64b55a7c5b8041be9b285 rdf:first N5b799bc5c67b456f801a45300fc343bc
57 rdf:rest Ndafb59465da4416babbda8331812955e
58 N57786bdb177740bc88baf17044f300fa schema:familyName Park
59 schema:givenName Dae Hoon
60 rdf:type schema:Person
61 N5b799bc5c67b456f801a45300fc343bc schema:familyName Sakai
62 schema:givenName Tetsuya
63 rdf:type schema:Person
64 N64d6920c67d64f88b99736d16a62a561 schema:isbn 978-3-030-03519-8
65 978-3-030-03520-4
66 schema:name Information Retrieval Technology
67 rdf:type schema:Book
68 N6631fea739df4df2af345bab29ec4f50 rdf:first sg:person.07416347706.16
69 rdf:rest N90697cb15d0c44c5bf1c8c2feba547f8
70 N6908c0bb26ee4c91ae9d50f836c88f8b schema:location Cham
71 schema:name Springer International Publishing
72 rdf:type schema:Organisation
73 N696a83e04cd74c72851de88c6ddc7334 schema:name readcube_id
74 schema:value 7bf990a202e255c21d6f76b326e50296f89045c1ecfdca9ee0eaf8f4e4307364
75 rdf:type schema:PropertyValue
76 N6df5e1cfff4d4000ad81e62ae217c817 schema:name doi
77 schema:value 10.1007/978-3-030-03520-4_7
78 rdf:type schema:PropertyValue
79 N72c6d4335fee4ff7992eddfee088802b rdf:first N01485085609a4d3db7e463375a620749
80 rdf:rest N1266c706e46f471ca6b6318231f78cac
81 N78b4fdd224914c5da023c01ca3f0de54 schema:familyName Ku
82 schema:givenName Lun-Wei
83 rdf:type schema:Person
84 N90697cb15d0c44c5bf1c8c2feba547f8 rdf:first sg:person.010334324445.74
85 rdf:rest N9a75b9fa635d4404aaf95f2352c4b7ee
86 N9a75b9fa635d4404aaf95f2352c4b7ee rdf:first Nc58374a198e942f89bb4bb3d7744937a
87 rdf:rest Nb577c14e792f4ce7b25ab8aa98c2e3b7
88 N9c2b601810854e7f9788516d778bd575 schema:familyName Chen
89 schema:givenName Zhi-Hong
90 rdf:type schema:Person
91 N9c2bbfb054cf4f188b3e5ae9ac6139ec schema:familyName Yeh
92 schema:givenName Jui-Feng
93 rdf:type schema:Person
94 Nab75c16f49fd4e7fb9a01c0db7516a94 schema:name RIKEN AIP, Tokyo, Japan
95 rdf:type schema:Organization
96 Nadd6364e997c4d0aa6968854efe8d62e rdf:first N57786bdb177740bc88baf17044f300fa
97 rdf:rest Nf3388b3dc1e84121aa7f2674c3585aa5
98 Nb577c14e792f4ce7b25ab8aa98c2e3b7 rdf:first N2517843f03a5492ab5c60e875533fa0d
99 rdf:rest rdf:nil
100 Nc58374a198e942f89bb4bb3d7744937a schema:affiliation Nab75c16f49fd4e7fb9a01c0db7516a94
101 schema:familyName Sekine
102 schema:givenName Satoshi
103 rdf:type schema:Person
104 Nd5e6dc8b79254862966b2f4ad8d93c17 schema:familyName Lee
105 schema:givenName Lung-Hao
106 rdf:type schema:Person
107 Ndafb59465da4416babbda8331812955e rdf:first Ne936be7111524b4c972f665c3c021f76
108 rdf:rest N0782189f625b421595a447e1cd3c7ff0
109 Ne936be7111524b4c972f665c3c021f76 schema:familyName Jiang
110 schema:givenName Jing
111 rdf:type schema:Person
112 Nf1ec77ee81d448199986c19469613256 schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 Nf3388b3dc1e84121aa7f2674c3585aa5 rdf:first N9c2bbfb054cf4f188b3e5ae9ac6139ec
115 rdf:rest N72c6d4335fee4ff7992eddfee088802b
116 Nfc797d715b60447784e421080bdb55b0 rdf:first N4c951b1269b7431c999b3364c4938e87
117 rdf:rest N560d6985caf64b55a7c5b8041be9b285
118 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
119 schema:name Information and Computing Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
122 schema:name Artificial Intelligence and Image Processing
123 rdf:type schema:DefinedTerm
124 sg:person.010334324445.74 schema:affiliation https://www.grid.ac/institutes/grid.418251.b
125 schema:familyName Iwakura
126 schema:givenName Tomoya
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010334324445.74
128 rdf:type schema:Person
129 sg:person.012276754451.81 schema:affiliation https://www.grid.ac/institutes/grid.418251.b
130 schema:familyName Makino
131 schema:givenName Takuya
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012276754451.81
133 rdf:type schema:Person
134 sg:person.013671715451.17 schema:affiliation https://www.grid.ac/institutes/grid.418251.b
135 schema:familyName Noro
136 schema:givenName Tomoya
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013671715451.17
138 rdf:type schema:Person
139 sg:person.07416347706.16 schema:affiliation https://www.grid.ac/institutes/grid.418251.b
140 schema:familyName Yoshikawa
141 schema:givenName Hiyori
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07416347706.16
143 rdf:type schema:Person
144 sg:pub.10.1007/978-3-319-42911-3_25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011846161
145 https://doi.org/10.1007/978-3-319-42911-3_25
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1145/1645953.1645979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045450636
148 rdf:type schema:CreativeWork
149 https://doi.org/10.18653/v1/d15-1166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099106144
150 rdf:type schema:CreativeWork
151 https://doi.org/10.18653/v1/d17-1090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100516775
152 rdf:type schema:CreativeWork
153 https://doi.org/10.18653/v1/d17-1091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100516776
154 rdf:type schema:CreativeWork
155 https://doi.org/10.18653/v1/p16-1056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099113493
156 rdf:type schema:CreativeWork
157 https://www.grid.ac/institutes/grid.418251.b schema:alternateName Fujitsu (Japan)
158 schema:name Fujitsu Laboratories Ltd., Kawasaki, Japan
159 RIKEN AIP, Tokyo, Japan
160 rdf:type schema:Organization
161 https://www.grid.ac/institutes/grid.69566.3a schema:alternateName Tohoku University
162 schema:name RIKEN AIP, Tokyo, Japan
163 Tohoku University, Sendai, Japan
164 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...