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Semantic Role Labeling (predicted predicates)

2 papers with code · Natural Language Processing

PropBank semantic role labeling with predicted predicates.

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Linguistically-Informed Self-Attention for Semantic Role Labeling

EMNLP 2018 strubell/LISA

Unlike previous models which require significant pre-processing to prepare linguistic features, LISA can incorporate syntax using merely raw tokens as input, encoding the sequence only once to simultaneously perform parsing, predicate detection and role labeling for all predicates.

DEPENDENCY PARSING MULTI-TASK LEARNING PART-OF-SPEECH TAGGING PREDICATE DETECTION SEMANTIC ROLE LABELING (PREDICTED PREDICATES) WORD EMBEDDINGS

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling

ACL 2018 luheng/lsgn

Recent BIO-tagging-based neural semantic role labeling models are very high performing, but assume gold predicates as part of the input and cannot incorporate span-level features.

COREFERENCE RESOLUTION RELATION EXTRACTION SEMANTIC ROLE LABELING (PREDICTED PREDICATES)