Conference Papers
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Learning Rich Representation of Keyphrases from Text
Mayank Kulkarni, Debanjan Mahata, Ravneet Arora, Rajarshi Bhowmik
In Findings of NAACL, 2022
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Explainable Link Prediction for Emerging Entities in Knowledge Graphs
Rajarshi Bhowmik and Gerard de Melo
In Proc. ISWC 2020 Acceptance Rate:22%
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Facts That Matter: Dynamic Fact Retrieval for Entity-Centric Search Queries
Atharva Prabhat Paranjpe, Rajarshi Bhowmik, Gerard de Melo
In Proc. ISWC 2020 (Poster and Demo Track)
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Be Concise and Precise: Synthesizing Open-domain Entity Descriptions from Facts
Rajarshi Bhowmik and Gerard de Melo
In Proc. The Web Conference 2019 Acceptance Rate: 18%
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Domain-Independent Automated Processing of Free-Form Text Data in Telecom
Rajarshi Bhowmik and Ahmet Akyamac
In Proc. IEEE ICDE 2019 Acceptance Rate: 19.7% (Industry Track)
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Generating Fine-Grained Open Vocabulary Entity Type Descriptions
Rajarshi Bhowmik and Gerard de Melo
In Proc. ACL 2018 Acceptance Rate: 24.9%
Workshop Papers
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Fast and Effective Biomedical Entity Linking Using a Dual Encoder
Rajarshi Bhowmik, Karl Stratos and Gerard de Melo
In Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis (LOUHI), EACL 2021
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Exploiting Image-Text Synergy for Contextual Image Captioning
Sreyasi Nag Chowdhury, Rajarshi Bhowmik, Hareesh Ravi, Gerard de Melo , Simon Razniewski, and Gerhard Weikum
In Proceedings of the 3rd Workshop on Beyond Vision and Language: Integrating Real World Knowledge (LANTERN), EACL 2021
Patents
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Domain-Independent Automated Processing of Free-form Text
Rajarshi Bhowmik and Ahmet Akyamac
US Patent Application Number PCT/US2017/068911
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Determination of Field Types in Tabular Data
Rajarshi Bhowmik, Ahmet Akyamac, and Jeongran Lee
US Patent Number 10817657