Ontologies are used in various domains, with RDF and OWL being prominent...
Hierarchical Topic Models (HTMs) are useful for discovering topic hierar...
A salient characteristic of large pre-trained language models (PTLMs) is...
Neural retrieval models (NRMs) have been shown to outperform their
stati...
Resource Description Framework (RDF) and Property Graph (PG) are the two...
Large transformer-based pre-trained language models have achieved impres...
Pre-trained Language Models (PTLMs) have been shown to perform well on
n...
Recent advances in contrastive representation learning over paired image...
Temporal and causal relations play an important role in determining the
...
Knowledge Graph (KG) embeddings provide a low-dimensional representation...
ECIR 2020 https://ecir2020.org/ was one of the many conferences affected...
Despite a long history of use of citation count as a measure to assess t...
Ideological leanings of an individual can often be gauged by the sentime...
Just as semantic hashing can accelerate information retrieval, binary va...
We address the problem of finding descriptive explanations of facts stor...