Erhan Sezerer - RankMe

12 papers A* 1B 1Journal 4Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	PERSEVAL: A Framework for Perspectivist Classification Evaluation. EMNLP Soda Marem Lo, Silvia Casola, Erhan Sezerer, Valerio Basile, Franco Sansonetti, Antonio Uva, Davide Bernardi
2024	—	`conf`	MultiPICo: Multilingual Perspectivist Irony Corpus. ACL (1) Silvia Casola, Simona Frenda, Soda Marem Lo, Erhan Sezerer, Antonio Uva, Valerio Basile, Cristina Bosco, Alessandro Pedrani, Chiara Rubagotti, Viviana Patti, Davide Bernardi
2021	J	`jnl`	A Survey On Neural Word Embeddings. CoRR Erhan Sezerer, Selma Tekir
2021	J	`jnl`	Author Reputation Measurement on Question and Answer Sites by the Classification of Author-Generated Content. Int. J. Softw. Eng. Knowl. Eng. Erhan Sezerer, Samet Tenekeci, Ali Acar, Bora Baloglu, Selma Tekir
2021	—	`—`	Discovering specific semantic relations among words using neural network methods (Yapay sinir ağı yöntemleri ile sözcükler arası özel anlamsal ilişkilerin keşfedilmesi) Erhan Sezerer
2021	J	`jnl`	Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims. CoRR Ipek Baris Schlicht, Erhan Sezerer, Selma Tekir, Oul Han, Zeyd Boukhers
2020	—	`conf`	A Turkish Topic Modeling Dataset For Multi-label Classification of Movie Genre. SIU Elgun Jabrayilzade, Algin Poyraz Arslan, Hasan Para, Ozan Polatbilek, Erhan Sezerer, Selma Tekir
2019	—	`conf`	A Turkish Dataset for Gender Identification of Twitter Users. LAW@ACL Erhan Sezerer, Ozan Polatbilek, Selma Tekir
2019	—	`conf`	Gender Prediction from Turkish Tweets with Neural Networks. SIU Erhan Sezerer, Ozan Polatbilek, Selma Tekir
2019	J	`jnl`	Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features. CoRR Erhan Sezerer, Ozan Polatbilek, Selma Tekir
2018	—	`conf`	Gender Prediction From Tweets With Convolutional Neural Networks: Notebook for PAN at CLEF 2018. CLEF (Working Notes) Erhan Sezerer, Ozan Polatbilek, Özge Sevgili, Selma Tekir
2017	B	`conf`	A Relativistic Opinion Mining Approach to Detect Factual or Opinionated News Sources. DaWaK Erhan Sezerer, Selma Tekir