15 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.IR2021★ 15 cited
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
Minghan Li, Diana Nicoleta Popa, Johan Chagnon +2
On a wide range of natural language processing and information retrieval tasks, transformer-based models, particularly pre-trained language models like BERT, have demonstrated trem…
cs.CL2017
Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction
Diana Nicoleta Popa, James Henderson
Vector-space models, from word embeddings to neural network parsers, have many advantages for NLP. But how to generalise from fixed-length word vectors to a vector space for arbitr…
cs.CL2016
A Vector Space for Distributional Semantics for Entailment
James Henderson, Diana Nicoleta Popa
Distributional semantics creates vector-space representations that capture many forms of semantic similarity, but their relation to semantic entailment has been less clear. We prop…