{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T03:42:23Z","timestamp":1771299743301,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030157180","type":"print"},{"value":"9783030157197","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-15719-7_26","type":"book-chapter","created":{"date-parts":[[2019,4,7]],"date-time":"2019-04-07T03:19:09Z","timestamp":1554607149000},"page":"203-210","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Deep Neural Networks for Query Expansion Using Word Embeddings"],"prefix":"10.1007","author":[{"given":"Ayyoob","family":"Imani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir","family":"Vakili","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Montazer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Azadeh","family":"Shakery","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,7]]},"reference":[{"key":"26_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1007\/978-3-319-30671-1_57","volume-title":"Advances in Information Retrieval","author":"M AlMasri","year":"2016","unstructured":"AlMasri, M., Berrut, C., Chevallet, J.-P.: A comparison of deep learning based query expansion with pseudo-relevance feedback and mutual information. In: Ferro, N., et al. (eds.) ECIR 2016. LNCS, vol. 9626, pp. 709\u2013715. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-30671-1_57"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Cao, G., Nie, J.Y., Gao, J., Robertson, S.: Selecting good expansion terms for pseudo-relevance feedback. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 243\u2013250. ACM (2008)","DOI":"10.1145\/1390334.1390377"},{"issue":"1","key":"26_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2071389.2071390","volume":"44","author":"C Carpineto","year":"2012","unstructured":"Carpineto, C., Romano, G.: A survey of automatic query expansion in information retrieval. ACM Comput. Surv. (CSUR) 44(1), 1 (2012)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Collins-Thompson, K.: Reducing the risk of query expansion via robust constrained optimization. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, pp. 837\u2013846. ACM (2009)","DOI":"10.1145\/1645953.1646059"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Dehghani, M., Zamani, H., Severyn, A., Kamps, J., Croft, W.B.: Neural ranking models with weak supervision. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 65\u201374. ACM (2017)","DOI":"10.1145\/3077136.3080832"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Diaz, F., Mitra, B., Craswell, N.: Query expansion with locally-trained word embeddings. arXiv preprint arXiv:1605.07891 (2016)","DOI":"10.18653\/v1\/P16-1035"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"He, H., Lin, J.: Pairwise word interaction modeling with deep neural networks for semantic similarity measurement. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 937\u2013948 (2016)","DOI":"10.18653\/v1\/N16-1108"},{"issue":"8","key":"26_CR8","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Huang, P.S., He, X., Gao, J., Deng, L., Acero, A., Heck, L.: Learning deep structured semantic models for web search using clickthrough data. In: Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management, pp. 2333\u20132338. ACM (2013)","DOI":"10.1145\/2505515.2505665"},{"key":"26_CR10","unstructured":"Koch, G., Zemel, R., Salakhutdinov, R.: Siamese neural networks for one-shot image recognition. In: ICML Deep Learning Workshop, vol. 2 (2015)"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Kuzi, S., Shtok, A., Kurland, O.: Query expansion using word embeddings. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 1929\u20131932. ACM (2016)","DOI":"10.1145\/2983323.2983876"},{"key":"26_CR12","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: International Conference on Machine Learning, pp. 1188\u20131196 (2014)"},{"key":"26_CR13","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Montazeralghaem, A., Zamani, H., Shakery, A.: Axiomatic analysis for improving the log-logistic feedback model. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 765\u2013768. ACM (2016)","DOI":"10.1145\/2911451.2914768"},{"key":"26_CR15","unstructured":"Moody, C.E.: Mixing Dirichlet topic models and word embeddings to make lda2vec. arXiv preprint arXiv:1605.02019 (2016)"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Severyn, A., Moschitti, A.: Learning to rank short text pairs with convolutional deep neural networks. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information retrieval, pp. 373\u2013382. ACM (2015)","DOI":"10.1145\/2766462.2767738"},{"key":"26_CR18","doi-asserted-by":"crossref","unstructured":"Sordoni, A., Bengio, Y., Nie, J.Y.: Learning concept embeddings for query expansion by quantum entropy minimization. In: AAAI, vol. 14, pp. 1586\u20131592 (2014)","DOI":"10.1609\/aaai.v28i1.8933"},{"key":"26_CR19","unstructured":"Wang, S., Jiang, J.: A compare-aggregate model for matching text sequences. arXiv preprint arXiv:1611.01747 (2016)"},{"key":"26_CR20","unstructured":"Yang, L., Zamani, H., Zhang, Y., Guo, J., Croft, W.B.: Neural matching models for question retrieval and next question prediction in conversation. arXiv preprint arXiv:1707.05409 (2017)"},{"key":"26_CR21","doi-asserted-by":"crossref","unstructured":"Zamani, H., Croft, W.B.: Embedding-based query language models. In: Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval, pp. 147\u2013156. ACM (2016)","DOI":"10.1145\/2970398.2970405"},{"key":"26_CR22","doi-asserted-by":"crossref","unstructured":"Zamani, H., Croft, W.B.: Estimating embedding vectors for queries. In: Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval, pp. 123\u2013132. ACM (2016)","DOI":"10.1145\/2970398.2970403"},{"key":"26_CR23","doi-asserted-by":"crossref","unstructured":"Zamani, H., Croft, W.B.: Relevance-based word embedding. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 505\u2013514. ACM (2017)","DOI":"10.1145\/3077136.3080831"},{"key":"26_CR24","doi-asserted-by":"crossref","unstructured":"Zheng, G., Callan, J.: Learning to reweight terms with distributed representations. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 575\u2013584. ACM (2015)","DOI":"10.1145\/2766462.2767700"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-15719-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T17:37:00Z","timestamp":1710265020000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-15719-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030157180","9783030157197"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-15719-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 April 2019","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":"Cologne","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"41","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecir2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}