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Deep Communicating Agents for Abstractive Summarization.

, , , and . NAACL-HLT, page 1662-1675. Association for Computational Linguistics, (2018)

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Fuzzy functions with support vector machines., and . Inf. Sci., 177 (23): 5163-5177 (2007)Enriching word embeddings using knowledge graph for semantic tagging in conversational dialog systems, , , and . genre, (2010)Efficient Tool Use with Chain-of-Abstraction Reasoning., , , , , , , , , and . CoRR, (2024)Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow., , , , , and . CoRR, (2019)A Soft-Link Spectral Model for Link Prediction.. Int. J. Semantic Comput., 3 (4): 399-419 (2009)Working Memory Graphs., , , , and . CoRR, (2019)A Discriminative Classification-Based Approach to Information State Updates for a Multi-Domain Dialog System., , , , and . INTERSPEECH, page 330-333. ISCA, (2012)An Empirical Investigation of Word Class-Based Features for Natural Language Understanding., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (6): 994-1005 (2016)Learning to Relate Literal and Sentimental Descriptions of Visual Properties., , , , and . HLT-NAACL, page 416-425. The Association for Computational Linguistics, (2013)CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning., , , , , , , , , and . NAACL-HLT, page 5657-5668. Association for Computational Linguistics, (2022)