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2020 – today
- 2023
[c16]Organizers Of QueerInAI
, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895- [c15]Filip Klubicka, Vasudevan Nedumpozhimana, John D. Kelleher:
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space. MWE@EACL 2023: 45-57 - [c14]Filip Klubicka, John D. Kelleher:
Probing Taxonomic and Thematic Embeddings for Taxonomic Information. GWC 2023: 1-13 - [i10]Filip Klubicka, John D. Kelleher:
Probing Taxonomic and Thematic Embeddings for Taxonomic Information. CoRR abs/2301.10656 (2023) - [i9]Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - [i8]Filip Klubicka, Vasudevan Nedumpozhimana, John D. Kelleher:
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space. CoRR abs/2304.14333 (2023) - [i7]Anya Belz, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - 2022
- [j5]Vasudevan Nedumpozhimana, Filip Klubicka, John D. Kelleher:
Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification. Frontiers Artif. Intell. 5: 813967 (2022) - [c13]Filip Klubicka, John D. Kelleher:
Probing with Noise: Unpicking the Warp and Weft of Embeddings. BlackboxNLP@EMNLP 2022: 404-417 - [i6]Filip Klubicka, John D. Kelleher:
Probing with Noise: Unpicking the Warp and Weft of Embeddings. CoRR abs/2210.12206 (2022) - 2020
- [c12]Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher:
English WordNet Random Walk Pseudo-Corpora. LREC 2020: 4893-4902 - [i5]Magdalena Kacmajor, John D. Kelleher, Filip Klubicka, Alfredo Maldonado:
Semantic Relatedness and Taxonomic Word Embeddings. CoRR abs/2002.06235 (2020)
2010 – 2019
- 2019
- [j4]Alfredo Maldonado, Filip Klubicka, John D. Kelleher:
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings. Open Comput. Sci. 9(1): 252-267 (2019) - [c11]Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher:
Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance. GWC 2019: 140-150 - 2018
- [j3]Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Quantitative fine-grained human evaluation of machine translation systems: a case study on English to Croatian. Mach. Transl. 32(3): 195-215 (2018) - [c10]Filip Klubicka, Giancarlo D. Salton, John D. Kelleher:
Is it worth it? Budget-related evaluation metrics for model selection. LREC 2018 - [c9]Alfredo Maldonado, Filip Klubicka:
ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora. SemEval@NAACL-HLT 2018: 924-927 - [i4]Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian. CoRR abs/1802.01451 (2018) - [i3]Filip Klubicka, Raquel Fernández:
Examining a hate speech corpus for hate speech detection and popularity prediction. CoRR abs/1805.04661 (2018) - [i2]Filip Klubicka, Giancarlo D. Salton, John D. Kelleher:
Is it worth it? Budget-related evaluation metrics for model selection. CoRR abs/1807.06998 (2018) - 2017
- [j2]Antonio Toral, Miquel Esplà-Gomis, Filip Klubicka, Nikola Ljubesic, Vassilis Papavassiliou, Prokopis Prokopidis, Raphael Rubino, Andy Way:
Crawl and crowd to bring machine translation to under-resourced languages. Lang. Resour. Evaluation 51(4): 1019-1051 (2017) - [j1]Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation. Prague Bull. Math. Linguistics 108: 121-132 (2017) - [i1]Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Fine-grained human evaluation of neural versus phrase-based machine translation. CoRR abs/1706.04389 (2017) - 2016
- [c8]Víctor M. Sánchez-Cartagena, Nikola Ljubesic, Filip Klubicka:
Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian. EAMT 2016: 354-360 - [c7]Filip Klubicka, Gema Ramírez-Sánchez, Nikola Ljubesic:
Collaborative Development of a Rule-Based Machine Translator between Croatian and Serbian. EAMT 2016: 361-367 - [c6]Nikola Ljubesic, Miquel Esplà-Gomis, Antonio Toral, Sergio Ortiz-Rojas, Filip Klubicka:
Producing Monolingual and Parallel Web Corpora at the Same Time - SpiderLing and Bitextor's Love Affair. LREC 2016 - [c5]Nikola Ljubesic, Filip Klubicka, Zeljko Agic, Ivo-Pavao Jazbec:
New Inflectional Lexicons and Training Corpora for Improved Morphosyntactic Annotation of Croatian and Serbian. LREC 2016 - [c4]Maja Popovic, Mihael Arcan, Filip Klubicka:
Language Related Issues for Machine Translation between Closely Related South Slavic Languages. VarDial@COLING 2016: 43-52 - 2015
- [c3]Nikola Ljubesic, Miquel Esplà-Gomis, Filip Klubicka, Nives Mikelic Preradovic:
Predicting Inflectional Paradigms and Lemmata of Unknown Words for Semi-automatic Expansion of Morphological Lexicons. RANLP 2015: 379-387 - 2014
- [c2]Nikola Ljubesic, Filip Klubicka:
{bs, hr, sr}WaC - Web Corpora of Bosnian, Croatian and Serbian. WaC@EACL 2014: 29-35 - [c1]Miquel Esplà-Gomis, Filip Klubicka, Nikola Ljubesic, Sergio Ortiz-Rojas, Vassilis Papavassiliou, Prokopis Prokopidis:
Comparing two acquisition systems for automatically building an English-Croatian parallel corpus from multilingual websites. LREC 2014: 1252-1258
Coauthor Index
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