53 citations · 96 across the 10 of their papers we have counts for
10 papers
Stance Detection and Open Research Avenues
Dilek Küçük, Fazli Can
This tutorial aims to cover the state-of-the-art on stance detection and address open research avenues for interested researchers and practitioners. Stance detection is a recent re…
To What Extent are Name Variants Used as Named Entities in Turkish Tweets?
Dilek Küçük
Social media texts differ from regular texts in various aspects. One of the main differences is the common use of informal name variants instead of well-formed named entities in so…
A Tweet Dataset Annotated for Named Entity Recognition and Stance Detection
Dilek Küçük, Fazli Can
Annotated datasets in different domains are critical for many supervised learning-based solutions to related problems and for the evaluation of the proposed solutions. Topics in na…
Stance Detection on Tweets: An SVM-based Approach
Dilek Küçük, Fazli Can
Stance detection is a subproblem of sentiment analysis where the stance of the author of a piece of natural language text for a particular target (either explicitly stated in the t…
Joint Named Entity Recognition and Stance Detection in Tweets
Dilek Küçük
Named entity recognition (NER) is a well-established task of information extraction which has been studied for decades. More recently, studies reporting NER experiments on social m…
On TimeML-Compliant Temporal Expression Extraction in Turkish
Dilek Küçük, Doğan Küçük
It is commonly acknowledged that temporal expression extractors are important components of larger natural language processing systems like information retrieval and question answe…