Dr Angrosh Mandya
Computer Science
- Work email Angrosh.Mandya@liverpool.ac.uk
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2020
Evaluating Co-reference Chains based Conversation History in Conversational Question Answering (Conference Paper)
Mandya, A. A., Bollegala, D., & Coenen, F. P. (2020). Evaluating Co-reference Chains based Conversation History in Conversational Question Answering. In L. -M. Nguyen, X. -H. Phan, K. Hasida, & S. Tojo (Eds.), Computational Linguistics (pp. 283-292). Singapore: Springer. doi:10.1007/978-981-15-6168-9_24Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering (Conference Paper)
Mandya, A., O'Neill, J., Bollegala, D., & Coenen, F. (2020). Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering. In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020) (pp. 2017-2025). Retrieved from http://gateway.webofknowledge.com/From Semi-automated to Automated Methods of Ontology Learning from Twitter Data (Conference Paper)
Alajlan, S., Coenen, F., & Mandya, A. (2020). From Semi-automated to Automated Methods of Ontology Learning from Twitter Data. In Unknown Conference (pp. 213-236). Springer International Publishing. doi:10.1007/978-3-030-66196-0_10Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. (Conference Paper)
Mandya, A., Bollegala, D., & Coenen, F. (2020). Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction.. In D. Scott, N. Bel, & C. Zong (Eds.), COLING (pp. 6424-6435). International Committee on Computational Linguistics. Retrieved from https://aclanthology.org/volumes/2020.coling-main/2019
A Dataset for Inter-Sentence Relation Extraction using Distant Supervision (Conference Paper)
Mandya, A., Bollegala, D., Coenen, F., Atkinson, K., & Declerck, T. (2018). A Dataset for Inter-Sentence Relation Extraction using Distant Supervision. In PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018) (pp. 1559-1565). Retrieved from http://gateway.webofknowledge.com/Ontology Learning from Twitter Data (Conference Paper)
Alajlan, S., Coenen, F., Konev, B., & Mandya, A. (2019). Ontology Learning from Twitter Data. In KEOD: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 2: KEOD (pp. 94-103). doi:10.5220/00080676009401032018
Classifier-Based Pattern Selection Approach for Relation Instance Extraction (Conference Paper)
Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). Classifier-Based Pattern Selection Approach for Relation Instance Extraction. In COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING (CICLING 2017), PT I Vol. 10761 (pp. 418-434). doi:10.1007/978-3-319-77113-7_33Discovering Representative Space for Relational Similarity Measurement (Conference Paper)
Hakami, H., Mandya, A., & Bollegala, D. (2018). Discovering Representative Space for Relational Similarity Measurement. In COMPUTATIONAL LINGUISTICS, PACLING 2017 Vol. 781 (pp. 76-87). doi:10.1007/978-981-10-8438-6_7Frame-Based Semantic Patterns for Relation Extraction (Conference Paper)
Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). Frame-Based Semantic Patterns for Relation Extraction. In COMPUTATIONAL LINGUISTICS, PACLING 2017 Vol. 781 (pp. 51-62). doi:10.1007/978-981-10-8438-6_5- About
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