Search Results for author: Tolgahan Cakaloglu

Found 5 papers, 1 papers with code

n-stage Latent Dirichlet Allocation: A Novel Approach for LDA

1 code implementation16 Oct 2021 Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu

In this article, the proposed n-stage LDA method, which can enable the LDA method to be used more effectively, is explained in detail.

Topic Classification Topic Models +1

MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering

no code implementations3 Nov 2019 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 language query.

Question Answering

A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases

no code implementations2 Feb 2019 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.

Information Retrieval Open-Domain Question Answering +1

Text Embeddings for Retrieval From a Large Knowledge Base

no code implementations ICLR 2019 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.

Open-Domain Question Answering

Cannot find the paper you are looking for? You can Submit a new open access paper.