◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

E. Yilmaz

4 papers hereh-index 8320 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.SI1
same name
  • E. Yilmaz — 3 papers, h 11
  • E. Yilmaz — 2 papers, h 8
  • E. Yilmaz — 2 papers, h 0
  • E. Yilmaz — 2 papers, h 3
  • E. Yilmaz — 2 papers, h 1
  • E. Yilmaz — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedImpact of Tokenization on Language Models: An Analysis for Turkish

69 citations · 81 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2022★ 69 cited

Impact of Tokenization on Language Models: An Analysis for Turkish

Cagri Toraman, Eyup Halit Yilmaz, Furkan Şahinuç +1

Tokenization is an important text preprocessing step to prepare input tokens for deep language models. WordPiece and BPE are de facto methods employed by important models, such as…

cs.CL2022

Large-Scale Hate Speech Detection with Cross-Domain Transfer

Cagri Toraman, Furkan Şahinuç, Eyup Halit Yilmaz

The performance of hate speech detection models relies on the datasets on which the models are trained. Existing datasets are mostly prepared with a limited number of instances or…

cs.SI2021★ 12 cited

BlackLivesMatter 2020: An Analysis of Deleted and Suspended Users in Twitter

Cagri Toraman, Furkan Şahinuç, Eyup Halit Yilmaz

After George Floyd's death in May 2020, the volume of discussion in social media increased dramatically. A series of protests followed this tragic event, called as the 2020 BlackLi…

cs.CL2021

ConQX: Semantic Expansion of Spoken Queries for Intent Detection based on Conditioned Text Generation

Eyup Halit Yilmaz, Cagri Toraman

Intent detection of spoken queries is a challenging task due to their noisy structure and short length. To provide additional information regarding the query and enhance the perfor…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.