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User Affect and No-Match Dialogue Scenarios: An Analysis of Facial Expression.

, , , , , , and . MA3HMI@ICMI, page 6-14. ACM, (2018)

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User Affect and No-Match Dialogue Scenarios: An Analysis of Facial Expression., , , , , , and . MA3HMI@ICMI, page 6-14. ACM, (2018)Affect-Based Early Prediction of Player Mental Demand and Engagement for Educational Games., , , , , , and . AIIDE, page 243-249. AAAI Press, (2018)EntSUM: A Data Set for Entity-Centric Extractive Summarization., , and . ACL (1), page 3355-3366. Association for Computational Linguistics, (2022)EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization., , , , and . EMNLP, page 5538-5547. Association for Computational Linguistics, (2023)Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction., , , , and . EACL (Findings), page 1232-1250. Association for Computational Linguistics, (2024)Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference., , and . ACL, page 8476-8488. Association for Computational Linguistics, (2020)Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings., , , , , , , , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 328-335. Springer, (2020)Graph based techniques for user personalization of news streams., and . COMPUTE, page 12:1-12:7. ACM, (2013)Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings., , , , , , , , , and . CoRR, (2019)Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model., , , , , , and . EACL, page 2202-2211. Association for Computational Linguistics, (2023)