14 citations · 23 across the 6 of their papers we have counts for
6 papers
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
Jun Zhao, Wenyu Zhan, Xin Zhao +6
Semantic matching is a mainstream paradigm of zero-shot relation extraction, which matches a given input with a corresponding label description. The entities in the input should ex…
Open Set Relation Extraction via Unknown-Aware Training
Jun Zhao, Xin Zhao, Wenyu Zhan +6
The existing supervised relation extraction methods have achieved impressive performance in a closed-set setting, where the relations during both training and testing remain the sa…
A Relation-Oriented Clustering Method for Open Relation Extraction
Jun Zhao, Tao Gui, Qi Zhang +1
The clustering-based unsupervised relation discovery method has gradually become one of the important methods of open relation extraction (OpenRE). However, high-dimensional vector…
Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines
Cun Mu, Jun Zhao, Guang Yang +2
A growing interest has been witnessed recently from both academia and industry in building nearest neighbor search (NNS) solutions on top of full-text search engines. Compared with…
End-to-End Neural Ranking for eCommerce Product Search: an application of task models and textual embeddings
Eliot Brenner, Jun Zhao, Aliasgar Kutiyanawala +1
We consider the problem of retrieving and ranking items in an eCommerce catalog, often called SKUs, in order of relevance to a user-issued query. The input data for the ranking are…
Towards Practical Visual Search Engine within Elasticsearch
Cun Mu, Jun Zhao, Guang Yang +2
In this paper, we describe our end-to-end content-based image retrieval system built upon Elasticsearch, a well-known and popular textual search engine. As far as we know, this is…