activity
20152022
most citedA Tweet Dataset Annotated for Named Entity Recognition and Stance Detection

9 citations · 26 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

6 papers · 1 filter

cs.CL2022

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…

cs.CL2019

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…

cs.CL20199 cited

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…

cs.CL2018

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…

cs.CL20174 cited

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…

cs.CL20157 cited

A Knowledge-poor Pronoun Resolution System for Turkish

Dilek Küçük, Meltem Turhan Yöndem

A pronoun resolution system which requires limited syntactic knowledge to identify the antecedents of personal and reflexive pronouns in Turkish is presented. As in its counterpart…