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Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. Les représentations distribuées sont-elles vraiment distribuées ? Observations sur la localisation de l'information syntaxique dans les tâches d'accord du verbe en français In Traitement Automatique des Langues Naturelles, Edited by Yannick Estève, Tania Jiménez, Titouan Parcollet and Marcely Zanon Boito. Avignon, France: ATALA, 2022.PDF icon 2022-taln.38.pdf (298.92 KB)
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement In 2021 Conference on Empirical Methods in Natural Language Processing. Punta Cana, Dominican Republic, 2021.
Li, Bingzhi, and Guillaume Wisniewski. Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense In EACL 2021. Kiev (on line), Ukraine, 2021.
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks In 60th Annual Meeting of the Association for Computational Linguistics. Dublin, France: Association for Computational Linguistics, 2022.
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics, 2021.PDF icon 2021.emnlp-main.377.pdf (284.3 KB)
Li, Bingzhi, and Guillaume Wisniewski. Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. Online: Association for Computational Linguistics, 2021.PDF icon 2021.eacl-main.269.pdf (220.94 KB)
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Dublin, Ireland: Association for Computational Linguistics, 2022.PDF icon 2022.acl-short.54.pdf (379.76 KB)
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement In 2021 Conference on Empirical Methods in Natural Language Processing. Punta Cana, Dominican Republic, 2021.
Li, Bingzhi, and Guillaume Wisniewski. Are Neural Networks Extracting Linguistic Properties or Memorizing Training Data? An Observation with a Multilingual Probe for Predicting Tense In EACL 2021. Kiev (on line), Ukraine, 2021.
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks In 60th Annual Meeting of the Association for Computational Linguistics. Dublin, France: Association for Computational Linguistics, 2022.
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. "Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement." Transactions of the Association for Computational Linguistics 10 (2023).
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Online and Punta Cana, Dominican Republic: Association for Computational Linguistics, 2021.
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. How Distributed Are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Dublin, Ireland: Association for Computational Linguistics, 2022.
Li, Bingzhi, Guillaume Wisniewski, and Benoît Crabbé. "Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement." Transactions of the Association for Computational Linguistics 11 (2023): 18-33.