Large-scale text retrieval technology has been widely used in various
pr...
We present GTE, a general-purpose text embedding model trained with
mult...
Recently, various studies have been directed towards exploring dense pas...
Boundary information is critical for various Chinese language processing...
Pre-trained language model (PTM) has been shown to yield powerful text
r...
Deep pre-trained language models (e,g. BERT) are effective at large-scal...
Passage retrieval is a fundamental task in information retrieval (IR)
re...
Keyphrase extraction (KE) aims to summarize a set of phrases that accura...
Fully supervised neural approaches have achieved significant progress in...
In this paper, we propose a test, called Flagged-1-Bit (F1B) test, to st...