Collective Classification for Fine-grained Information Status
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ClassificationCoreference ResolutionGeneral ClassificationSimilar Papers 제목 키워드 기반
Fine-grained Information Status Classification Using Discourse Context-Aware BERT
Previous work on bridging anaphora recognition (Hou et al., 2013a) casts the problem as a subtask of learning fine-grained information status (IS). However, these systems heavily depend on many hand-crafted linguistic fe…
General ClassificationEnd-to-end Neural Information Status Classification
Most previous studies on information status (IS) classification and bridging anaphora recognition assume that the gold mention or syntactic tree information is given (Hou et al., 2013; Roesiger et al., 2018; Hou, 2020; Y…
ClassificationFine-grained Information Status Classification Using Discourse Context-Aware Self-Attention
Previous work on bridging anaphora recognition (Hou et al., 2013a) casts the problem as a subtask of learning fine-grained information status (IS). However, these systems heavily depend on many hand-crafted linguistic fe…
General ClassificationIncremental Fine-grained Information Status Classification Using Attention-based LSTMs
Information status plays an important role in discourse processing. According to the hearer{'}s common sense knowledge and his comprehension of the preceding text, a discourse entity could be old, mediated or new. In thi…
ClassificationCommon Sense ReasoningGeneral Classification