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Agenda-Driven Question Generation: A Case Study in the Courtroom Domain.

, , , , and . LREC/COLING, page 572-583. ELRA and ICCL, (2024)

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Toward Interpretable Topic Discovery via Anchored Correlation Explanation., , , and . (2016)cite arxiv:1606.07043Comment: presented at 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, New York, NY.Maximally Informative Hierarchical Representations of High-Dimensional Data., and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Comparative analysis of top-down and bottom-up methodologies for multi-agent system design., , and . AAMAS, page 1159-1160. ACM, (2005)Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings., , , and . CoRR, (2019)Estimating Mutual Information by Local Gaussian Approximation., , and . UAI, page 278-285. AUAI Press, (2015)Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling., and . NeurIPS, page 11012-11025. (2021)BioRelEx 1.0: Biological Relation Extraction Benchmark., , , , , , , and . BioNLP@ACL, page 176-190. Association for Computational Linguistics, (2019)Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations., , , , , and . EMNLP (Findings), page 1547-1554. Association for Computational Linguistics, (2022)Incorporating Fairness in Large Scale NLU Systems., , , , , , , , , and 3 other author(s). WSDM, page 1289-1290. ACM, (2023)Embedding Networks with Edge Attributes., , , and . HT, page 38-42. ACM, (2018)