SemEval-2016 task 5: Aspect based sentiment analysis M Pontiki, D Galanis, H Papageorgiou, I Androutsopoulos, S Manandhar, ... Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 2900 | 2016 |
Faithful chain-of-thought reasoning Q Lyu, S Havaldar, A Stein, L Zhang, D Rao, E Wong, M Apidianaki, ... arXiv preprint arXiv:2301.13379, 2023 | 125 | 2023 |
Complexity-weighted loss and diverse reranking for sentence simplification R Kriz, J Sedoc, M Apidianaki, C Zheng, G Kumar, E Miltsakaki, ... arXiv preprint arXiv:1904.02767, 2019 | 70 | 2019 |
Latent semantic word sense induction and disambiguation T Van de Cruys, M Apidianaki Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 65 | 2011 |
Word Sense Clustering and Clusterability D McCarthy, M Apidianaki, K Erk Computational Linguistics, 2016 | 63 | 2016 |
Data-driven semantic analysis for multilingual WSD and lexical selection in translation M Apidianaki Proceedings of the 12th Conference of the European Chapter of the …, 2009 | 61 | 2009 |
Let’s Play Mono-Poly: BERT Can Reveal Words’ Polysemy Level and Partitionability into Senses A Garí Soler, M Apidianaki Transactions of the Association for Computational Linguistics 9, 825-844, 2021 | 59 | 2021 |
Word sense filtering improves embedding-based lexical substitution A Cocos, M Apidianaki, C Callison-Burch Proceedings of the 1st Workshop on Sense, Concept and Entity Representations …, 2017 | 55* | 2017 |
SUM-QE: a BERT-based Summary Quality Estimation Model M Apidianaki, S Xenouleas, P Malakasiotis, I Androutsopoulos Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 53* | 2019 |
Translation-oriented word sense induction based on parallel corpora M Apidianaki Proceedings of Language Resources and Evaluation Conference (LREC), 2008 | 49 | 2008 |
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package A Patel, A Sands, C Callison-Burch, M Apidianaki | 48* | |
Towards faithful model explanation in nlp: A survey Q Lyu, M Apidianaki, C Callison-Burch Computational Linguistics, 1-70, 2024 | 46 | 2024 |
Simplification Using Paraphrases and Context-Based Lexical Substitution R Kriz, E Miltsakaki, M Apidianaki, C Callison-Burch Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 38 | 2018 |
Datasets for Aspect-Based Sentiment Analysis in French M Apidianaki, X Tannier, C Richart | 37* | |
Global Methods for Cross-lingual Semantic Role and Predicate Labelling L van der Plas, M Apidianaki, C Chen 25th International Conference on Computational Linguistics (COLING), 1279--1290, 2014 | 29 | 2014 |
LIMSI@ WMT'12 HS Le, T Lavergne, A Allauzen, M Apidianaki, L Gong, A Max, A Sokolov, ... Proceedings of the Seventh Workshop on Statistical Machine Translation, 330-337, 2012 | 25 | 2012 |
I spy a metaphor: Large language models and diffusion models co-create visual metaphors T Chakrabarty, A Saakyan, O Winn, A Panagopoulou, Y Yang, ... arXiv preprint arXiv:2305.14724, 2023 | 22 | 2023 |
An algorithm for cross-lingual sense-clustering tested in a MT evaluation setting M Apidianaki, Y He International Workshop on Spoken Language Translation (IWSLT-2010), 219--226, 2010 | 22 | 2010 |
BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations AG Soler, M Apidianaki arXiv preprint arXiv:2010.02686, 2020 | 20 | 2020 |
Embedding biomedical ontologies by jointly encoding network structure and textual node descriptors S Kotitsas, D Pappas, I Androutsopoulos, R McDonald, M Apidianaki arXiv preprint arXiv:1906.05939, 2019 | 20 | 2019 |