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Burcu Can
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2020 – today
- 2024
- [c29]Oliver Cakebread-Andrews, Le An Ha, Ingo Frommholz, Burcu Can:
Error Analysis of NLP Models and Non-Native Speakers of English Identifying Sarcasm in Reddit Comments. LREC/COLING 2024: 6247-6256 - [c28]Kanishka Silva, Ingo Frommholz, Burcu Can, Frédéric Blain, Raheem Sarwar, Laura Ugolini:
Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels. EACL (Student Research Workshop) 2024: 325-337 - 2023
- [j11]Iqra Ameer
, Necva Bölücü
Emotion Classification in Texts Over Graph Neural Networks: Semantic Representation is Better Than Syntactic. IEEE Access 11: 56921-56934 (2023) - [j10]Iqra Ameer
Multi-label emotion classification in texts using transfer learning. Expert Syst. Appl. 213(Part): 118534 (2023) - [j9]Necva Bölücü
A Siamese Neural Network for Learning Semantically-Informed Sentence Embeddings. Expert Syst. Appl. 214: 119103 (2023) - [c27]Kanishka Silva, Burcu Can, Frédéric Blain, Raheem Sarwar, Laura Ugolini, Ruslan Mitkov:
Authorship Attribution of Late 19th Century Novels using GAN-BERT. ACL (student) 2023: 310-320 - [e3]Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita:
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-77-7 [contents] - 2022
- [j8]Burcu Can
Joint learning of morphology and syntax with cross-level contextual information flow. Nat. Lang. Eng. 28(6): 763-795 (2022) - [c26]Laurence Dyer, Anthony Hughes
Comparison of Token- and Character-Level Approaches to Restoration of Spaces, Punctuation, and Capitalization in Various Languages. ICNLSP 2022: 168-178 - [c25]Necva Bölücü, Burcu Can:
Analysing Syntactic and Semantic Features in Pre-trained Language Models in a Fully Unsupervised Setting. ICON 2022: 19-31 - [c24]Necva Bölücü, Burcu Can:
Turkish Universal Conceptual Cognitive Annotation. LREC 2022: 89-99 - [e2]Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - 2021
- [j7]Huseyin Alecakir
Attention: there is an inconsistency between android permissions and application metadata! Int. J. Inf. Sec. 20(6): 797-815 (2021) - [j6]Emre Kagan Akkaya
Transfer learning for Turkish named entity recognition on noisy text. Nat. Lang. Eng. 27(1): 35-64 (2021) - [j5]Ahmet Üstün, Burcu Can
Incorporating word embeddings in unsupervised morphological segmentation. Nat. Lang. Eng. 27(5): 609-629 (2021) - [j4]Necva Bölücü, Burcu Can
A Cascaded Unsupervised Model for PoS Tagging. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 17:1-17:23 (2021) - [c23]Jasivan Sivakumar, Jake Muga, Flavio Spadavecchia, Daniel White, Burcu Can:
A GRU-based Pipeline Approach for Word-Sentence Segmentation and Punctuation Restoration in English. IALP 2021: 268-273 - [c22]Meltem Tokgoz, Fatmanur Turhan, Necva Bölücü, Burcu Can:
Tuning Language Representation Models for Classification of Turkish News. ISEEIE 2021: 402-407 - [c21]Hasan Akalp, Enes Furkan Cigdem
Language Representation Models for Music Genre Classification Using Lyrics. ISEEIE 2021: 408-414 - [i6]Sevil Sen, Burcu Can:
Android Security using NLP Techniques: A Review. CoRR abs/2107.03072 (2021) - [i5]Necva Bölücü, Burcu Can:
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing. CoRR abs/2110.00621 (2021) - 2020
- [c20]Salih Tuc, Burcu Can:
Self Attended Stack-Pointer Networks for Learning Long Term Dependencies. ICON 2020: 90-100 - [c19]Anil Aydingün, Denizcan Bagdatlioglu, Burak Canbaz, Abdullah Kökbiyik, M. Furkan Yavuz, Necva Bölücü, Burcu Can:
Turkish Music Generation using Deep Learning. SIU 2020: 1-4
2010 – 2019
- 2019
- [j3]Necva Bölücü, Burcu Can:
Unsupervised Joint PoS Tagging and Stemming for Agglutinative Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(3): 25:1-25:21 (2019) - [c18]Yasin Esref, Burcu Can:
Using Morpheme-Level Attention Mechanism for Turkish Sequence Labelling. SIU 2019: 1-4 - [e1]Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Johannes Welbl, Alexis Conneau, Xiang Ren, Marek Rei:
Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-35-2 [contents] - 2018
- [j2]Burcu Can, Suresh Manandhar:
Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation. Comput. Linguistics 44(2) (2018) - [c17]Ahmet Üstün, Murathan Kurfali, Burcu Can:
Characters or Morphemes: How to Represent Words? Rep4NLP@ACL 2018: 144-153 - 2017
- [j1]Burcu Can:
Unsupervised learning of allomorphs in Turkish. Turkish J. Electr. Eng. Comput. Sci. 25: 3253-3260 (2017) - [c16]Murathan Kurfali
A Trie-structured Bayesian Model for Unsupervised Morphological Segmentation. CICLing (1) 2017: 87-98 - [c15]Serkan Özen, Burcu Can:
Building Morphological Chains for Agglutinative Languages. CICLing (1) 2017: 99-109 - [c14]Necva Bölücü, Burcu Can:
Joint PoS Tagging and Stemming for Agglutinative Languages. CICLing (1) 2017: 110-122 - [c13]Cengiz Acartürk, Özkan Kiliç, Bilal Kirkici, Burcu Can, Aysegül Özkan:
The Role of Letter Frequency on Eye Movements in Sentential Pseudoword Reading. CogSci 2017 - [c12]Necva Bölücü, Burcu Can:
Stem-based PoS tagging for agglutinative languages. SIU 2017: 1-4 - [i4]Burcu Can, Ahmet Üstün, Murathan Kurfali:
Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets. CoRR abs/1703.03200 (2017) - [i3]Murathan Kurfali, Ahmet Üstün, Burcu Can:
A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation. CoRR abs/1704.07329 (2017) - [i2]Serkan Özen, Burcu Can:
Building Morphological Chains for Agglutinative Languages. CoRR abs/1705.02314 (2017) - [i1]Necva Bölücü, Burcu Can:
Joint PoS Tagging and Stemming for Agglutinative Languages. CoRR abs/1705.08942 (2017) - 2016
- [c11]Burcu Can, Ahmet Üstün, Murathan Kurfali
Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets. CICLing (1) 2016: 320-331 - [c10]Serkan Kumyol, Burcu Can:
Modeling morpheme triplets with a three-level hierarchical Dirichlet process. IALP 2016: 366-369 - [c9]Mustafa Burak Ozturk, Burcu Can:
Clustering word roots syntactically. SIU 2016: 1461-1464 - [c8]Ahmet Üstün, Burcu Can:
Unsupervised Morphological Segmentation Using Neural Word Embeddings. SLSP 2016: 43-53 - 2014
- [c7]Burcu Can, Suresh Manandhar:
Methods and Algorithms for Unsupervised Learning of Morphology. CICLing (1) 2014: 177-205 - 2013
- [c6]Burcu Can, Suresh Manandhar:
Dirichlet Processes for Joint Learning of Morphology and PoS Tags. IJCNLP 2013: 1087-1091 - [c5]Burcu Can, Suresh Manandhar:
An Agglomerative Hierarchical Clustering Algorithm for Labelling Morphs. RANLP 2013: 129-135 - [c4]Burcu Can, Harun Artuner:
A syllable-based Turkish speech recognition system by using time delay neural networks (TDNNs). SoCPaR 2013: 219-224 - 2012
- [c3]Burcu Can, Suresh Manandhar:
Probabilistic Hierarchical Clustering of Morphological Paradigms. EACL 2012: 654-663 - 2011
- [b1]Burcu Can:
Statistical models for unsupervised learning of morphology and POS tagging. University of York, UK, 2011
2000 – 2009
- 2009
- [c2]Burcu Can, Suresh Manandhar:
Clustering Morphological Paradigms Using Syntactic Categories. CLEF (1) 2009: 641-648 - [c1]Burcu Can, Suresh Manandhar:
Unsupervised Learning of Morphology by using Syntactic Categories. CLEF (Working Notes) 2009
Coauthor Index
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