Enriching Entity Translation Discovery using Selective Temporality

On the Temporality of Priors in Entity Linking

Entity linking is a fundamental task in natural language processing which deals with the lexical ambiguity in texts. An important component in entity linking approaches is the mention-to-entity prior probability. Even th…

Joint Speech Translation and Named Entity Recognition

Modern automatic translation systems aim at place the human at the center by providing contextual support and knowledge. In this context, a critical task is enriching the output with information regarding the mentioned e…

Temporality as Seen through Translation: A Case Study on Hindi Texts

Fact Discovery from Knowledge Base via Facet Decomposition

During the past few decades, knowledge bases (KBs) have experienced rapid growth. Nevertheless, most KBs still suffer from serious incompletion. Researchers proposed many tasks such as knowledge base completion and relat…

Robust Biomedical Publication Type and Study Design Classification with Knowledge-Guided Perturbations

Accurately and consistently indexing biomedical literature by publication type and study design is essential for supporting evidence synthesis and knowledge discovery. Prior work on automated publication type and study d…