activity
20152024
most citedStructural Analysis of Criminal Network and Predicting Hidden Links using Machine Learning

14 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 7 cited

Building Efficient and Effective OpenQA Systems for Low-Resource Languages

Emrah Budur, Rıza Özçelik, Dilara Soylu +3

Question answering (QA) is the task of answering questions posed in natural language with free-form natural language answers extracted from a given passage. In the OpenQA variant,…

cs.CL2020

Data and Representation for Turkish Natural Language Inference

Emrah Budur, Rıza Özçelik, Tunga Güngör +1

Large annotated datasets in NLP are overwhelmingly in English. This is an obstacle to progress in other languages. Unfortunately, obtaining new annotated resources for each task in…

cs.CL2017★ 3 cited

LIDE: Language Identification from Text Documents

Priyank Mathur, Arkajyoti Misra, Emrah Budur

The increase in the use of microblogging came along with the rapid growth on short linguistic data. On the other hand deep learning is considered to be the new frontier to extract…

cs.CL2017

Scalable, Trie-based Approximate Entity Extraction for Real-Time Financial Transaction Screening

Emrah Budur

Financial institutions have to screen their transactions to ensure that they are not affiliated with terrorism entities. Developing appropriate solutions to detect such affiliation…

cs.SI2015★ 14 cited

Structural Analysis of Criminal Network and Predicting Hidden Links using Machine Learning

Emrah Budur, Seungmin Lee, Vein S. Kong

Analysis of criminal networks is inherently difficult because of the nature of the topic. Criminal networks are covert and most of the information is not publicly available. This l…