{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:52:34Z","timestamp":1742943154674,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030722395"},{"type":"electronic","value":"9783030722401"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-72240-1_54","type":"book-chapter","created":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T14:49:01Z","timestamp":1617288541000},"page":"498-503","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Extensible Toolkit of Query Refinement Methods and Gold Standard Dataset Generation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6033-6564","authenticated-orcid":false,"given":"Hossein","family":"Fani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahtab","family":"Tamannaee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fattane","family":"Zarrinkalam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jamil","family":"Samouh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samad","family":"Paydar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ebrahim","family":"Bagheri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,30]]},"reference":[{"issue":"5\u20136","key":"54_CR1","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1007\/s10791-013-9233-4","volume":"17","author":"B Al-Shboul","year":"2013","unstructured":"Al-Shboul, B., Myaeng, S.-H.: Wikipedia-based query phrase expansion in patent class search. Inf. Retrieval 17(5\u20136), 430\u2013451 (2013). https:\/\/doi.org\/10.1007\/s10791-013-9233-4","journal-title":"Inf. Retrieval"},{"issue":"5","key":"54_CR2","doi-asserted-by":"publisher","first-page":"1698","DOI":"10.1016\/j.ipm.2019.05.009","volume":"56","author":"HK Azad","year":"2019","unstructured":"Azad, H.K., Deepak, A.: Query expansion techniques for information retrieval: a survey. Inf. Process. Manag. 56(5), 1698\u20131735 (2019)","journal-title":"Inf. Process. Manag."},{"issue":"1","key":"54_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/366836.366860","volume":"19","author":"C Carpineto","year":"2001","unstructured":"Carpineto, C., de Mori, R., Romano, G., Bigi, B.: An information-theoretic approach to automatic query expansion. ACM Trans. Inf. Syst. 19(1), 1\u201327 (2001)","journal-title":"ACM Trans. Inf. Syst."},{"key":"54_CR4","doi-asserted-by":"crossref","unstructured":"Dehghani, M., Rothe, S., Alfonseca, E., Fleury, P.: Learning to attend, copy, and generate for session-based query suggestion. In: 2017 ACM on Conference on Information and Knowledge Management, pp. 1747\u20131756 (2017)","DOI":"10.1145\/3132847.3133010"},{"key":"54_CR5","doi-asserted-by":"crossref","unstructured":"Guo, J., Fan, Y., Ji, X., Cheng, X.: Matchzoo: a learning, practicing, and developing system for neural text matching. In: SIGIR 2019, pp. 1297\u20131300. ACM, New York (2019)","DOI":"10.1145\/3331184.3331403"},{"key":"54_CR6","doi-asserted-by":"crossref","unstructured":"Han, F.X., Niu, D., Chen, H., Lai, K., He, Y., Xu, Y.: A deep generative approach to search extrapolation and recommendation. In: KDD 2019, pp. 1771\u20131779. ACM (2019)","DOI":"10.1145\/3292500.3330786"},{"key":"54_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/11880592_1","volume-title":"Information Retrieval Technology","author":"M-H Hsu","year":"2006","unstructured":"Hsu, M.-H., Tsai, M.-F., Chen, H.-H.: Query expansion with ConceptNet and WordNet: an intrinsic comparison. In: Ng, H.T., Leong, M.-K., Kan, M.-Y., Ji, D. (eds.) AIRS 2006. LNCS, vol. 4182, pp. 1\u201313. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11880592_1"},{"key":"54_CR8","doi-asserted-by":"crossref","unstructured":"Kraft, R., Zien, J.Y.: Mining anchor text for query refinement. In: WWW 2004, pp. 666\u2013674. ACM (2004)","DOI":"10.1145\/988672.988763"},{"key":"54_CR9","doi-asserted-by":"crossref","unstructured":"Kuzi, S., Shtok, A., Kurland, O.: Query expansion using word embeddings. In: CIKM 2016, pp. 1929\u20131932. ACM (2016)","DOI":"10.1145\/2983323.2983876"},{"key":"54_CR10","doi-asserted-by":"crossref","unstructured":"Lee, K., Croft, W.B., Allan, J.: A cluster-based resampling method for pseudo-relevance feedback. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, pp. 235\u2013242. ACM (2008)","DOI":"10.1145\/1390334.1390376"},{"key":"54_CR11","doi-asserted-by":"crossref","unstructured":"Li, R., Li, L., Wu, X., Zhou, Y., Wang, W.: Click feedback-aware query recommendation using adversarial examples. In: WWW 2019, pp. 2978\u20132984. ACM (2019)","DOI":"10.1145\/3308558.3313412"},{"key":"54_CR12","unstructured":"Li, Y., Zheng, R., Tian, T., Hu, Z., Iyer, R., Sycara, K.P.: Joint embedding of hierarchical categories and entities for concept categorization and dataless classification. In: COLING 2016, pp. 2678\u20132688. ACL (2016)"},{"key":"54_CR13","doi-asserted-by":"crossref","unstructured":"Luong, T., Pham, H., Manning, C.D.: Effective approaches to attention-based neural machine translation. In: 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP, pp. 1412\u20131421. The Association for Computational Linguistics (2015)","DOI":"10.18653\/v1\/D15-1166"},{"key":"54_CR14","doi-asserted-by":"crossref","unstructured":"Natsev, A., Haubold, A., Tesic, J., Xie, L., Yan, R.: Semantic concept-based query expansion and re-ranking for multimedia retrieval. In: Proceedings of the 15th International Conference on Multimedia, pp. 991\u20131000. ACM (2007)","DOI":"10.1145\/1291233.1291448"},{"key":"54_CR15","unstructured":"Nguyen, T., et al.: MS MARCO: a human generated machine reading comprehension dataset. In: NIPS 2016 (2016)"},{"issue":"12","key":"54_CR16","doi-asserted-by":"publisher","first-page":"2469","DOI":"10.1002\/asi.23143","volume":"65","author":"D Pal","year":"2014","unstructured":"Pal, D., Mitra, M., Datta, K.: Improving query expansion using wordnet. J. Assoc. Inf. Sci. Technol. 65(12), 2469\u20132478 (2014)","journal-title":"J. Assoc. Inf. Sci. Technol."},{"key":"54_CR17","doi-asserted-by":"crossref","unstructured":"Pass, G., Chowdhury, A., Torgeson, C.: A picture of search. In: Infoscale 2006, p. 1 (2006)","DOI":"10.1145\/1146847.1146848"},{"key":"54_CR18","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1162\/tacl_a_00099","volume":"4","author":"A Schofield","year":"2016","unstructured":"Schofield, A., Mimno, D.M.: Comparing apples to apple: the effects of stemmers on topic models. Trans. Assoc. Comput. Linguistics 4, 287\u2013300 (2016)","journal-title":"Trans. Assoc. Comput. Linguistics"},{"key":"54_CR19","doi-asserted-by":"crossref","unstructured":"Sordoni, A., Bengio, Y., Vahabi, H., Lioma, C., Simonsen, J.G., Nie, J.: A hierarchical recurrent encoder-decoder for generative context-aware query suggestion. In: CIKM 2015, pp. 553\u2013562. ACM (2015)","DOI":"10.1145\/2806416.2806493"},{"key":"54_CR20","doi-asserted-by":"crossref","unstructured":"Tamannaee, M., Fani, H., Zarrinkalam, F., Samouh, J., Paydar, S., Bagheri, E.: Reque: a configurable workflow and dataset collection for query refinement. In: CIKM2020, pp. 3165\u20133172. ACM (2020)","DOI":"10.1145\/3340531.3412775"},{"key":"54_CR21","unstructured":"Tan, L.: Pywsd: python implementations of word sense disambiguation (WSD) technologies [software]. https:\/\/github.com\/alvations\/pywsd"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-72240-1_54","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T15:23:24Z","timestamp":1617290604000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-72240-1_54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030722395","9783030722401"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-72240-1_54","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"43","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ecir2021.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"436","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}