no code implementations • WS 2019 • N, Navnita akumar, Timothy Baldwin, Bahar Salehi
In this paper, we apply various embedding methods on multiword expressions to study how well they capture the nuances of non-compositional data.
no code implementations • ALTA 2018 • N, Navnita akumar, Bahar Salehi, Timothy Baldwin
In this paper, we perform a comparative evaluation of off-the-shelf embedding models over the task of compositionality prediction of multiword expressions(``MWEs'').
1 code implementation • SEMEVAL 2017 • N, Titas i, Chris Biemann, Seid Muhie Yimam, Deepak Gupta, Sarah Kohail, Asif Ekbal, Pushpak Bhattacharyya
In this paper we present the system for Answer Selection and Ranking in Community Question Answering, which we build as part of our participation in SemEval-2017 Task 3.
no code implementations • WS 2016 • Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Moll{\'a}, N, Kaushik an
Semi-supervised clustering is an attractive alternative for traditional (unsupervised) clustering in targeted applications.