13 citations · 22 across the 5 of their papers we have counts for
7 papers
Leveraging Contextual Information for Effective Entity Salience Detection
Rajarshi Bhowmik, Marco Ponza, Atharva Tendle +5
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. These entities, often deemed as sal…
Unsupervised Contrast-Consistent Ranking with Language Models
Niklas Stoehr, Pengxiang Cheng, Jing Wang +2
Language models contain ranking-based knowledge and are powerful solvers of in-context ranking tasks. For instance, they may have parametric knowledge about the ordering of countri…
Learning Rich Representation of Keyphrases from Text
Mayank Kulkarni, Debanjan Mahata, Ravneet Arora +1
In this work, we explore how to train task-specific language models aimed towards learning rich representation of keyphrases from text documents. We experiment with different maski…
Fast and Effective Biomedical Entity Linking Using a Dual Encoder
Rajarshi Bhowmik, Karl Stratos, Gerard de Melo
Biomedical entity linking is the task of identifying mentions of biomedical concepts in text documents and mapping them to canonical entities in a target thesaurus. Recent advancem…
Explainable Link Prediction for Emerging Entities in Knowledge Graphs
Rajarshi Bhowmik, Gerard de Melo
Despite their large-scale coverage, cross-domain knowledge graphs invariably suffer from inherent incompleteness and sparsity. Link prediction can alleviate this by inferring a tar…
Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
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 descrip…
Generating Fine-Grained Open Vocabulary Entity Type Descriptions
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…