Бірлескен оқыту құрылымы

Natural Language Generation (NLG) systems often use a pipeline architecture for sequen- tial decision making. Recent studies how- ever have shown that treating NLG decisions jointly rather than in isolation …...

Multi-label text categorization (MTC) is supervised learning, where a documen- t may be assigned with multiple categories (labels) simultaneously. The labels in the MTC are correlated and the correlation re- …...

AbstractSemantic parsing aims to transform natural language (NL) utterances into formal meaning representations (MRs), whereas an NL generator achieves the reverse: producing an NL description for some given MRs. Despite …...

AbstractThe sequential order of utterances is often meaningful in coherent dialogues, and the order changes of utterances could lead to low-quality and incoherent conversations. We consider the order information as …...

AbstractSupervised models for Relation Extraction (RE) typically require human-annotated training data. Due to the limited size, the human-annotated data is usually incapable of covering diverse relation expressions, which could limit …...

AbstractAnaphora and ellipses are two common phenomena in dialogues. Without resolving referring expressions and information omission, dialogue systems may fail to generate consistent and coherent responses. Traditionally, anaphora is resolved …...