Knowledge Graph Induction Enabling Recommending and Trend Analysis: A Corporate Research Community Use Case

Autor: Nandana Mihindukulasooriya, Mike Sava, Gaetano Rossiello, Md. Faisal Mahbub Chowdhury, Irene Yachbes, Aditya Gidh, Jillian Duckwitz, Kovit Nisar, Michael Santos, Alfio Gliozzo

Publikováno v: The Semantic Web – ISWC 2022 ISBN: 9783031194320

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::21eec7f003edb138501b794417330ab5
https://doi.org/10.1007/978-3-031-19433-7_47

Dynamic Faceted Search for Technical Support Exploiting Induced Knowledge

Autor: Shu Tao, Yu Deng, Ruchi Mahindru, Nandana Mihindukulasooriya, Sarthak Dash, Nicolas Rodolfo Fauceglia, Gaetano Rossiello, Alfio Gliozzo, Faisal Mahbub Chowdhury

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030624651
ISWC (2)

IT support is a vital and integral part of technology adoption. Conventionally, IT support service providers heavily rely on human effort and expertise to respond to user queries. Given the cost-benefit and 24 \(\times \) 7 availability for answering

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::37002d3d9fb0b32aa288ff6eace38d20
https://doi.org/10.1007/978-3-030-62466-8_42

Hypernym Detection Using Strict Partial Order Networks

Autor: Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya, Sarthak Dash, Nicolas Rodolfo Fauceglia, Alfio Gliozzo

Publikováno v: AAAI

This paper introduces Strict Partial Order Networks (SPON), a novel neural network architecture designed to enforce asymmetry and transitive properties as soft constraints. We apply it to induce hypernymy relations by training with is-a pairs. We als

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::152a6109e41acf8240f8fb7e7b27f8d3
http://arxiv.org/abs/1909.10572

A controlled greedy supervised approach for co-reference resolution on clinical text

Autor: Md. Faisal Mahbub Chowdhury, Pierre Zweigenbaum

Publikováno v: Journal of Biomedical Informatics. 46:506-515

Identification of co-referent entity mentions inside text has significant importance for other natural language processing (NLP) tasks (e.g. event linking). However, this task, known as co-reference resolution, remains a complex problem, partly becau

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7337f34a9ec1d1ff3724666215aa1b36
https://doi.org/10.1016/j.jbi.2013.03.007

Assessment of NER solutions against the first and second CALBC Silver Standard Corpus

Autor: Alexandre Kouznetsov, Udo Hahn, Senay Kafkas, Kazuo Hara, Cheng-Ju Kuo, Elena Beisswanger, Christopher J. O. Baker, Antonio Jimeno Yepes, Alberto Lavelli, Faisal Mahbub Chowdhury, Richárd Farkas, Erik M. van Mulligen, Ning Kang, Simone Clematide, Chen Li, György Móra, Alberto Pascual-Montano, Fabio Rinaldi, Walter Daelemans, Dietrich Rebholz-Schuhmann, Laura I. Furlong, Nigel Collier, Ekaterina Buyko, René Witte, Rafael Berlanga, José Luís Marina, Michael Rautschka, Kerstin Hornbostel, Jonas B. Laurila, Jan A. Kors, Vincent Van Asch, Ian Lewin, Mariana Neves, Qi Wei, Peter T. Corbett, Roser Morante, David Milward

Publikováno v: Journal of Biomedical Semantics
Scopus-Elsevier
Recercat. Dipósit de la Recerca de Catalunya
instname
Proceedings of the 4th Symposium on Semantic Mining in biomedicine (SMBM)
Journal of Biomedical Semantics, Vol 2, Iss Suppl 5, p S11 (2011)
Digital.CSIC. Repositorio Institucional del CSIC

Background Competitions in text mining have been used to measure the performance of automatic text processing solutions against a manually annotated gold standard corpus (GSC). The preparation of the GSC is time-consuming and costly and the final cor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::594690d2dbdda4d78184ebec8a63c1c1
https://pubmed.ncbi.nlm.nih.gov/22166494