ahmet aker
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Detection and resolution of rumours in social media: A survey
A Zubiaga, A Aker, K Bontcheva, M Liakata, R Procter
Acm Computing Surveys (Csur) 51 (2), 1-36, 2018
Semeval-2019 task 7: Rumoureval 2019: Determining rumour veracity and support for rumours
G Gorrell, E Kochkina, M Liakata, A Aker, A Zubiaga, K Bontcheva, ...
Proceedings of the 13th International Workshop on Semantic Evaluation: NAACL …, 2019
Generating image descriptions using dependency relational patterns
A Aker, R Gaizauskas
Proceedings of the 48th annual meeting of the association for computational …, 2010
The challenging task of summary evaluation: an overview
E Lloret, L Plaza, A Aker
Language Resources and Evaluation 52, 101-148, 2018
Simple open stance classification for rumour analysis
A Aker, L Derczynski, K Bontcheva
arXiv preprint arXiv:1708.05286, 2017
Can rumour stance alone predict veracity?
S Dungs, A Aker, N Fuhr, K Bontcheva
Proceedings of the 27th international conference on computational …, 2018
Extracting bilingual terminologies from comparable corpora
A Aker, ML Paramita, R Gaizauskas
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
Assessing Crowdsourcing Quality through Objective Tasks
A Aker, M El-Haj, MD Albakour, U Kruschwitz
LREC 2012, 2012
Multi-document summarization using A* search and discriminative learning
A Aker, T Cohn, R Gaizauskas
Proceedings of the 2010 conference on empirical methods in natural language …, 2010
What works and what does not: Classifier and feature analysis for argument mining
A Aker, A Sliwa, Y Ma, R Lui, N Borad, S Ziyaei, M Ghobadi
Proceedings of the 4th Workshop on Argument Mining, 91-96, 2017
Analyzing the capabilities of crowdsourcing services for text summarization
E Lloret, L Plaza, A Aker
Language resources and evaluation 47, 337-369, 2013
Summarizing online reviews using aspect rating distributions and language modeling
G Di Fabbrizio, A Aker, R Gaizauskas
IEEE Intelligent Systems 28 (3), 28-37, 2013
A graph-based approach to topic clustering for online comments to news
A Aker, E Kurtic, AR Balamurali, M Paramita, E Barker, M Hepple, ...
Advances in Information Retrieval: 38th European Conference on IR Research …, 2016
Collecting and Using Comparable Corpora for Statistical Machine Translation
NG Inguna Skadiņa, Ahmet Aker, Nikos Mastropavlos
LREC 2012, 2012
A light way to collect comparable corpora from the Web
A Ahmet, E Kanoulas, R Gaizauskas
LREC 2012, 2012
Is it really fake?–towards an understanding of fake news in social media communication
J Meinert, M Mirbabaie, S Dungs, A Aker
Social Computing and Social Media. User Experience and Behavior: 10th …, 2018
The Fake News Challenge: Stance Detection using Traditional Machine Learning Approaches.
R Masood, A Aker
KMIS, 126-133, 2018
Bilingual dictionaries for all EU languages
A Aker, ML Paramita, M Pinnis, R Gaizauskas
LREC 2014 Proceedings, 2839-2845, 2014
Automatic label generation for news comment clusters
A Aker, M Paramita, E Kurtic, A Funk, E Barker, M Hepple, R Gaizauskas
Proceedings of the 9th International Natural Language Generation Conference …, 2016
A collection of comparable corpora for under-resourced languages
I Skadiņa, A Aker, V Giouli, D Tufis, R Gaizauskas, M Mieriņa, ...
Human Language Technologies–The Baltic Perspective, 161-168, 2010
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