no code implementations • EACL (LANTERN) 2021 • Sreyasi Nag Chowdhury, Rajarshi Bhowmik, Hareesh Ravi, Gerard de Melo, Simon Razniewski, Gerhard Weikum
Modern web content - news articles, blog posts, educational resources, marketing brochures - is predominantly multimodal.
no code implementations • 14 Sep 2023 • Rajarshi Bhowmik, Marco Ponza, Atharva Tendle, Anant Gupta, Rebecca Jiang, Xingyu Lu, Qian Zhao, Daniel Preotiuc-Pietro
In text documents such as news articles, the content and key events usually revolve around a subset of all the entities mentioned in a document.
1 code implementation • 13 Sep 2023 • Niklas Stoehr, Pengxiang Cheng, Jing Wang, Daniel Preotiuc-Pietro, Rajarshi Bhowmik
We compare pairwise, pointwise and listwise prompting techniques to elicit a language model's ranking knowledge.
1 code implementation • Findings (NAACL) 2022 • Mayank Kulkarni, Debanjan Mahata, Ravneet Arora, Rajarshi Bhowmik
In the discriminative setting, we introduce a new pre-training objective - Keyphrase Boundary Infilling with Replacement (KBIR), showing large gains in performance (upto 8. 16 points in F1) over SOTA, when the LM pre-trained using KBIR is fine-tuned for the task of keyphrase extraction.
1 code implementation • EACL (Louhi) 2021 • Rajarshi Bhowmik, Karl Stratos, Gerard de Melo
Additionally, we modify our dual encoder model for end-to-end biomedical entity linking that performs both mention span detection and entity disambiguation and out-performs two recently proposed models.
1 code implementation • 1 May 2020 • Rajarshi Bhowmik, Gerard de Melo
Despite their large-scale coverage, cross-domain knowledge graphs invariably suffer from inherent incompleteness and sparsity.
1 code implementation • 16 Apr 2019 • Rajarshi Bhowmik, Gerard de Melo
Despite being vast repositories of factual information, cross-domain knowledge graphs, such as Wikidata and the Google Knowledge Graph, only sparsely provide short synoptic descriptions for entities.
1 code implementation • ACL 2018 • Rajarshi Bhowmik, Gerard de Melo
While large-scale knowledge graphs provide vast amounts of structured facts about entities, a short textual description can often be useful to succinctly characterize an entity and its type.