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The proposed iSTS method explains the similarities and differences between a pair of sentences. The objective of the iSTS problem is to formalize the alignment between a pair of text segments and to label the relationship between the text fragments with a relation type and relatedness score. The overall objective of this work is to develop a\n                    <jats:italic>1:M multi chunk aligner<\/jats:italic>\n                    for an iSTS method, which is trained on SemEval 2016 Task 2 dataset. The obtained result outperforms many state\u2013of\u2013art aligners, which were part of SemEval 2016 iSTS task.\n                  <\/jats:p>","DOI":"10.3233\/jifs-179028","type":"journal-article","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T12:05:06Z","timestamp":1557835506000},"page":"4797-4808","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Measuring interpretable semantic similarity of sentences using a multi chunk aligner"],"prefix":"10.1177","volume":"36","author":[{"given":"Goutam","family":"Majumder","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Lovely Professional University, Punjab, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Partha","family":"Pakray","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, National Institute of Technology Silchar, Assam, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Pinto","sequence":"additional","affiliation":[{"name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,5,14]]},"reference":[{"key":"e_1_3_3_2_2","first-page":"257","volume-title":"Parsing By Chunks","author":"Abney S.P.","year":"1992","unstructured":"AbneyS.P., Parsing By Chunks, Dordrecht, Springer Netherlands, 1992, pp. 257\u2013278."},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2032"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1082"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2045"},{"key":"e_1_3_3_6_2","article-title":"Pedagogical content knowledge in a tutorial dialogue system to support self-explanation","author":"Aleven V.","year":"2001","unstructured":"AlevenV., PopescuO. and KoedingerK.R., Pedagogical content knowledge in a tutorial dialogue system to support self-explanation, Working Notes of the AIED 2001 Workhop Tutorial Dialogue Systems (2001).","journal-title":"Working Notes of the AIED 2001 Workhop Tutorial Dialogue Systems"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1125"},{"key":"e_1_3_3_8_2","first-page":"164","volume-title":"Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)","author":"Banjade R.","unstructured":"BanjadeR., NiraulaN.B., MaharjanN., RusV., StefanescuD., LinteanM. and GautamD., Nerosim: A system for measuring and interpreting semantic textual similarity, In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, Colorado, ACL, pp. 164\u2013171."},{"key":"e_1_3_3_9_2","article-title":"Europe media monitor\u2013system description","author":"Clive B.","year":"2005","unstructured":"CliveB., van der GootE., BlacklerK., GarciaT. and HorbyD., Europe media monitor\u2013system description, In EUR Report 22173-En, 2005.","journal-title":"EUR Report 22173-En"},{"key":"e_1_3_3_10_2","first-page":"115","volume-title":"Proceedings of the Twelfth International Conference on Machine Learning, ICML\u201995","author":"Cohen W.W.","year":"1995","unstructured":"CohenW.W., Fast eective rule induction, In Proceedings of the Twelfth International Conference on Machine Learning, ICML\u201995, 1995, pp. 115\u2013123. 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