LREC-COLING 2024
Združena mednarodna konferenca računalniškega jezikoslovja ter jezikovnih virov in evalvacije
DOI:
https://doi.org/10.4312/slo2.0.2024.1.95-105Ključne besede:
LREC, COLING, ELRA, ICCLPovzetek
Konec maja, natančneje 22.–25. 5., je v piemontskem Torinu potekala megakonferenca LREC-COLING 2024. Letošnja konferenca je bila edinstvena, saj je združila sicer samostojni mednarodni konferenci LREC in COLING, ki sta poprej na vsaki dve leti potekali v istem letu, odslej pa se bosta vsako leto izmenjevali. Prva je usmerjena v jezikovne vire in evalvacijo in je bila že 14. zapovrstjo. Konferenco organizira združenje ELRA, prej Evropsko združenje za jezikovne vire (European Language Resources Association), od letos preimenovano v regijsko neomejeno Združenje za jezikovne vire ELRA (ELRA Language Resources Association). Druga konferenca, COLING, se osredotoča na računalniško jezikoslovje in je pod okriljem Mednarodnega odbora za računalniško jezikoslovje ICCL (International Committee on Computational Linguistics) potekala že tridesetič.
Prenosi
Literatura
Arhar Holdt, Š., Čibej, J., Dobrovoljc, K., Erjavec, T., Gantar, P., Krek, S., Munda, T., Robida, N., Terčon, L., & Žitnik, S. (2024a). SUK 1.0: A New Training Corpus for Linguistic Annotation of Modern Standard Slovene. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 15428–15435). Pridobljeno s https://aclanthology.org/2024.lrec-main.1340/
Arhar Holdt, Š., Erjavec, T., Kosem, I., & Volodina, E. (2024b). Towards an Ideal Tool for Learner Error Annotation. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 16392–16398). Pridobljeno s https://aclanthology.org/2024.lrec-main.1424
Caporusso, J., Brglez, M., Hoogland, D., Koloski, B., Purver, M., & Pollak, S. (2024). A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 199–210). Pridobljeno s https://aclanthology.org/2024.lrec-main.18/
Çöltekin, Ç., Kopp, M., Meden, K., Morkevicius, V., Ljubešić, N., & Erjavec, T. (2024) Multilingual Power and Ideology identification in the Parliament: a reference dataset and simple baselines. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): ParlaCLARIN IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (str. 94–100). Pridobljeno s https://aclanthology.org/2024.parlaclarin-1.14/
de Jong, A., Kuzman, T., Larooij, M., & Maarten, M. (2024). ParlaMint Ngram viewer: Multilingual Comparative Diachronic Search Across 26 Parliaments. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): ParlaCLARIN IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (str. 110–115). Pridobljeno s https://aclanthology.org/2024.parlaclarin-1.16
Dobranić, F., Evkoski, B., & Ljubešić, N. (2024). A Lightweight Approach to a Giga-Corpus of Historical Periodicals: The Story of a Slovenian Historical Newspaper Collection. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 695–703). Pridobljeno s https://aclanthology.org/2024.lrec-main.61/
Ghinassi, I., Wang, I., Newell, C., & Purver, M. (2024). When Cohesion Lies in the Embedding Space: Embedding-Based Reference-Free Metrics for Topic Segmentation. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 17525–17536). Pridobljeno s https://aclanthology.org/2024.lrec-main.1524/
Gromann, D., Gonçalo Oliveira, H., Pitarch, L., Apostol, E.-S., Bernad, J., Bytyçi, E., ..., & Zdravkova, K. (2024). MultiLexBATS: Multilingual Dataset of Lexical Semantic Relations. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 11783–11793). Pridobljeno s https://aclanthology.org/2024.lrec-main.1029/
Ivačič, N., Purver, M., Lind, F., Pollak, S., Boomgaarden, H., & Bajt, V. (2024). Comparing News Framing of Migration Crises using Zero-Shot Classification. Proceedings of the First Workshop on Reference, Framing, and Perspective @ LREC-COLING 2024 (str. 18–27). Pridobljeno s https://aclanthology.org/2024.rfp-1.3
Kavčič, A., Stojanoski, M., & Marolt, M. (2024). Historical Parliamentary Corpora Viewer. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): ParlaCLARIN IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (str. 127–132). Pridobljeno s https://aclanthology.org/2024.parlaclarin-1.19
Klemen, M., Žagar, A., Čibej, J., & Robnik-Šikonja, M. (2024). SI-NLI: A Slovene Natural Language Inference Dataset and its Evaluation. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 14859–14870). Pridobljeno s https://aclanthology.org/2024.lrec-main.1294/
Knez, T., & Žitnik, S. (2024). Towards Using Automatically Enhanced Knowledge Graphs to Aid Temporal Relation Extraction. Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024 (str. 131–136). Pridobljeno s https://aclanthology.org/2024.cl4health-1.16/
Ljubešić, N., & Kuzman, T. (2024). CLASSLA-web: Comparable Web Corpora of South Slavic Languages Enriched with Linguistic and Genre Annotation. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 3271–3282). Pridobljeno s https://aclanthology.org/2024.lrec-main.291/
Ljubešić, N., Suchomel, V., Rupnik, P., Kuzman, T., & van Noord, R. (2024). Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining. Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024 (str. 189–203). Pridobljeno s https://aclanthology.org/2024.sigul-1.23
Mochtak, M., Rupnik, P., & Ljubešić, N. (2024). The ParlaSent Multilingual Training Dataset for Sentiment Identification in Parliamentary Proceedings. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 16024–16036). Pridobljeno s https://aclanthology.org/2024.lrec-main.1393/
Pelicon, A., Karan, M., Shekhar, R., Purver, M., & Pollak, S. (2024). Denoising Labeled Data for Comment Moderation Using Active Learning. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 4626–4633). Pridobljeno s https://aclanthology.org/2024.lrec-main.413/
Pranjić, M., Robnik-Šikonja, M., & Pollak, S. (2024). LLMSegm: Surface-level Morphological Segmentation Using Large Language Model. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 10665–10674). Pridobljeno s https://aclanthology.org/2024.lrec-main.933/
Skubic, J., & Fišer, D. (2024). Parliamentary Discourse Research in Political Science: Literature Review. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): ParlaCLARIN IV Workshop on Creating, Analysing, and Increasing Accessibility of Parliamentary Corpora (str. 1–11). Pridobljeno s https://aclanthology.org/2024.parlaclarin-1.1/
van Noord, R., Kuzman, T., Rupnik, P., Nikola Ljubešić, N., Esplà-Gomis, M., Ramírez-Sánchez, G., & Toral, A. (2024). Do Language Models Care about Text Quality? Evaluating Web-Crawled Corpora across Languages. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 5221–5234). Pridobljeno s https://aclanthology.org/2024.lrec-main.465/
Verdonik, D., Dobrovoljc, K., Erjavec, T., & Ljubešić, N. (2024). Gos 2: A New Reference Corpus of Spoken Slovenian. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 7825–7830). Pridobljeno s https://aclanthology.org/2024.lrec-main.691/
Žagar, A., Brglez, M., & Vintar, Š. (2024a). How Human-Like Are Word Associations in Generative Models? An Experiment in Slovene. Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024 (str. 42–48). Pridobljeno s https://aclanthology.org/2024.cogalex-1.5/
Žagar, A., Klemen, M., Robnik-Šikonja, M., & Kosem, I. (2024b). SENTA: Sentence Simplification System for Slovene. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (str. 14687–14692). Pridobljeno s https://aclanthology.org/2024.lrec-main.1279/
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Avtorske pravice (c) 2024 Mojca Brglez, Matej Klemen, Luka Terčon, Špela Vintar
To delo je licencirano pod Creative Commons Priznanje avtorstva-Deljenje pod enakimi pogoji 4.0 mednarodno licenco.