Aslı Çelikyılmaz

6.9k citations
109 papers · 3.2k indexed · 3 hit papers · h-index 28

Aslı Çelikyılmaz

107 papers receiving 3.0k citations

Hit Papers

Chain-of-Verification R...642019202620212023100200300400

Peers

Aslı Çelikyılmaz
Comparison fields: 5 of 136
  • Artificial Intelligence 2.7k
  • Computer Vision and Pattern Recognition 790
  • Management Science and Operations Research 178
  • Health Informatics 19
  • Statistics and Probability 110
Replace Johannes Fürnkranz with:
Johannes Fürnkranz Germany
Simon Colton United Kingdom
Phil Blunsom United Kingdom
Marek Reformat Canada
Matt J. Kusner United States
Andrew L. Maas United States
Chengqing Zong China
Xiang Ren United States
Dae‐Won Kim South Korea
Keith Hall United States
Aslı Çelikyılmaz relative to Johannes Fürnkranz Germany Johannes Fürnkranz's profile →
Citations per field
00.5×
Johannes Fürnkranz · 1×
Citations per year

Countries citing papers authored by Aslı Çelikyılmaz

Since Specialization
Citations

This map shows the geographic impact of Aslı Çelikyılmaz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aslı Çelikyılmaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aslı Çelikyılmaz more than expected).

Fields of papers citing papers by Aslı Çelikyılmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aslı Çelikyılmaz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aslı Çelikyılmaz. The network helps show where Aslı Çelikyılmaz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Aslı Çelikyılmaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aslı Çelikyılmaz Line = papers co-authored together Aslı Çelikyılmaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20243
3
Chain-of-Verification Reduces Hallucination in Large Language Modelsbreakdown →
202464
4 202315
5 20221
6 20221
7 2021102
8 202069
9 201977
10
COMET: Commonsense Transformers for Automatic Knowledge Graph Constructionbreakdown →
2019464
11
COMET: Commonsense Transformers for Knowledge Graph Construction
20198
12 201961
13 2016270
14
Convolutional Neural Network Based Semantic Tagging with Entity Embeddings
20156
15
Mining Search Query Logs for Spoken Language Understanding
20124
16
A Joint Model for Discovery of Aspects in Utterances
20129
17
Discovery of Topically Coherent Sentences for Extractive Summarization
201151
18
A Hybrid Hierarchical Model for Multi-Document Summarization
201092
19
LDA Based Similarity Modeling for Question Answering
201033
20
A Graph-Based Semi-Supervised Learning for Question Semantic Labeling
20102

About Aslı Çelikyılmaz

Aslı Çelikyılmaz is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 109 papers that have together received 3.2k indexed citations. Recurring topics across this work include Topic Modeling (79 papers), Natural Language Processing Techniques (69 papers), Speech and dialogue systems (35 papers), Multimodal Machine Learning Applications (17 papers), Advanced Text Analysis Techniques (12 papers), Fuzzy Logic and Control Systems (12 papers), Fuzzy Systems and Optimization (9 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (790 citations) and Management Science and Operations Research (178 citations). Aslı Çelikyılmaz has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Dilek Hakkani‐Tür, İ.B. Türkşen, Jianfeng Gao, Yejin Choi, Gökhan Tür, Hannah Rashkin, Antoine Bosselut, Chaitanya Malaviya, Maarten Sap and Yun-Nung Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and Information Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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