13 citations · 29 across the 5 of their papers we have counts for
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cs.IR2019★ 2 cited
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering
Tolgahan Cakaloglu, Xiaowei Xu
The primary goal of ad-hoc retrieval (document retrieval in the context of question answering) is to find relevant documents satisfied the information need posted in a natural lang…
cs.IR2019★ 2 cited
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases
Tolgahan Cakaloglu, Xiaowei Xu
Deep language models learning a hierarchical representation proved to be a powerful tool for natural language processing, text mining and information retrieval. However, representa…
cs.IR2018★ 5 cited
Text Embeddings for Retrieval From a Large Knowledge Base
Tolgahan Cakaloglu, Christian Szegedy, Xiaowei Xu
Text embedding representing natural language documents in a semantic vector space can be used for document retrieval using nearest neighbor lookup. In order to study the feasibilit…