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Frances Yung
Frances Yung
在 coli.uni-saarland.de 的电子邮件经过验证
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引用次数
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Evalution 1.0: an evolving semantic dataset for training and evaluation of distributional semantic models
E Santus, F Yung, A Lenci, CR Huang
Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and …, 2015
1142015
Construction of English MWE dictionary and its application to POS tagging
Y Shigeto, A Azuma, S Hisamoto, S Kondo, T Kose, K Sakaguchi, ...
Proceedings of the 9th Workshop on Multiword Expressions, 139-144, 2013
302013
Crowdsourcing discourse relation annotations by a two-step connective insertion task
F Yung, V Demberg, M Scholman
Proceedings of the 13th Linguistic Annotation Workshop, 16-25, 2019
232019
Using explicit discourse connectives in translation for implicit discourse relation classification
W Shi, F Yung, R Rubino, V Demberg
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
182017
Crosslingual annotation and analysis of implicit discourse connectives for machine translation
F Yung, K Duh, Y Matsumoto
Proceedings of the Second Workshop on Discourse in Machine Translation, 142-152, 2015
142015
A psycholinguistic model for the marking of discourse relations
F Yung, K Duh, T Komura, Y Matsumoto
Dialogue and Discourse 8 (1), 106-131, 2017
132017
Acquiring annotated data with cross-lingual explicitation for implicit discourse relation classification
W Shi, F Yung, V Demberg
arXiv preprint arXiv:1808.10290, 2018
112018
Discogem: A crowdsourced corpus of genre-mixed implicit discourse relations
M Scholman, D Tianai, F Yung, V Demberg
the 13th Language Resources and Evaluation Conference (LREC 2022), 3281-3290, 2022
102022
Establishing annotation quality in multi-label annotations
M Marchal, M Scholman, F Yung, V Demberg
Proceedings of the 29th international conference on computational …, 2022
92022
Comparison of methods for explicit discourse connective identification across various domains
M Scholman, T Dong, F Yung, V Demberg
Proceedings of the 2nd Workshop on Computational Approaches to Discourse, 95-106, 2021
52021
[TACL] Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases introduced by Task Design
V Pyatkin, F Yung, M Scholman, I Dagan, R Tsarfaty, V Demberg
The 61st Annual Meeting Of The Association For Computational Linguistics, 2023
4*2023
Label distributions help implicit discourse relation classification
F Yung, K Anuranjana, M Scholman, V Demberg
Proceedings of the 3rd Workshop on Computational Approaches to Discourse, 48-53, 2022
42022
Design choices in crowdsourcing discourse relation annotations: The effect of worker selection and training
M Scholman, V Pyatkin, F Yung, I Dagan, R Tsarfaty, V Demberg
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
42022
Modelling the usage of discourse connectives as rational speech acts
F Yung, K Duh, T Komura, Y Matsumoto
Proceedings of The 20th SIGNLL Conference on Computational Natural Language …, 2016
42016
A practical perspective on connective generation
F Yung, M Scholman, V Demberg
Proceedings of the 2nd Workshop on Computational Approaches to Discourse, 72-83, 2021
32021
Modeling the interpretation of discourse connectives by Bayesian pragmatics
F Yung, K Duh, T Komura, Y Matsumoto
54th Annual Meeting of the Association for Computational Linguistics, 531-536, 2016
32016
Sequential annotation and chunking of Chinese discourse structure
F Yung, K Duh, Y Matsumoto
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing, 1-6, 2015
32015
Towards a discourse relation-aware approach for Chinese-English machine translation
F Yung
Proceedings of the ACL 2014 Student Research Workshop, 18-25, 2014
32014
Do speakers produce discourse connectives rationally?
F Yung, V Demberg
Proceedings of the Eight Workshop on Cognitive Aspects of Computational …, 2018
22018
Investigating Explicitation of Discourse Connectives in Translation using Automatic Annotations
F Yung, M Scholman, E Lapshinova-Koltunski, C Pollkläsener, ...
Proceedings of the 24th Annual Meeting of the Special Interest Group on …, 2023
12023
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