In LINAGORA we stand both for the practical and the theoretical approach: we believe that scientific research comes hand in hand with software development. You can find the list of our publications below.
Weakly supervised discourse segmentation for multiparty oral conversations. In: 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). Association for Computational Linguistics, 2021. p. 1381-1392.
GRAVELLIER, Lila, HUNTER, Julie, MULLER, Philippe, et al.
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation. arXiv e-prints, 2021, p. arXiv: 2110.08559.
KAMAL EDDINE, Moussa, SHANG, Guokan, TIXIER, Antoine J.-P., et al.
LinTO Platform: A Smart Open Voice Assistant for Business Environments. In: Proceedings of the 1st International Workshop on Language Technology Platforms. 2020. p. 89-95.
EBAI, Ilyes, BENHAMICHE, Sami, THOMPSON, Kate, et al.
The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification. In Proceedings of the 2nd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2021), pages 1–12, Punta Cana, Dominican Republic. Association for Computational Linguistics.
Amir Zeldes, Yang Janet Liu, Mikel Iruskieta, Philippe Muller, Chloé Braud, and Sonia Badene. 2021.
Speaker-change Aware CRF for Dialogue Act Classification. In Proceedings of the 28th International Conference on Computational Linguistics (pp. 450-464), December 2020.
HANG, Guokan, TIXIER, Antoine, VAZIRGIANNIS, Michalis and LORRE, Jean-Pierre.
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (pp. 313-327), December 2020.
SHANG, Guokan, TIXIER, Antoine, VAZIRGIANNIS, Michalis and LORRE, Jean-Pierre.
Char+ CV-CTC: combining graphemes and consonant/vowel units for CTC-based ASR using Multitask Learning. In: 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019). 2019. p. 1611-161.
HEBA, Abdelwahab, PELLEGRINI, Thomas, LORRÉ, Jean-Pierre, et al.
Weak Supervision for Learning Discourse Structure. In: EMNLP. 2019, Hong Kong, China.
ADENE, Sonia, THOMPSON, Catherine, LORRÉ, Jean-Pierre, et al.
Data Programming for Learning Discourse Structure. In: Association for Computational LInguistics (ACL). 2019, Florence, Italy.
BADENE, Sonia, THOMPSON, Catherine, LORRÉ, Jean-Pierre, et al.
Energy-based self-attentive learning of abstractive communities for spoken language understanding. arXiv preprint arXiv:1904.09491, 2019.
SHANG, Guokan, TIXIER, Antoine Jean-Pierre, VAZIRGIANNIS, Michalis, et al.
Learning Multy-party Discourse Structure Using Weak Supervision. In Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2019” Moscow, Russia.
BADENE, Sonia, THOMPSON, Catherine, LORRÉ, Jean-Pierre, et al.
Apprentissage faiblement supervisé de la structure discursive. TALN-RECITAL 2019.
BADENE, Sonia, THOMPSON, Catherine, LORRÉ, Jean-Pierre, ASHER, Nicholas.
