Supertagging With LSTMs
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CCG SupertaggingPart-Of-Speech TaggingSemantic ParsingSimilar Papers 제목 키워드 기반
LSTM Hypertagging
Hypertagging, or supertagging for surface realization, is the process of assigning lexical categories to nodes in an input semantic graph. Previous work has shown that hypertagging significantly increases realization spe…
Text GenerationAn Empirical Exploration of Skip Connections for Sequential Tagging
In this paper, we empirically explore the effects of various kinds of skip connections in stacked bidirectional LSTMs for sequential tagging. We investigate three kinds of skip connections connecting to LSTM cells: (a) s…
CCG SupertaggingPOSPOS TaggingEnd-to-end Graph-based TAG Parsing with Neural Networks
We present a graph-based Tree Adjoining Grammar (TAG) parser that uses BiLSTMs, highway connections, and character-level CNNs. Our best end-to-end parser, which jointly performs supertagging, POS tagging, and parsing, ou…
POSPOS TaggingTAGDeconstructing Supertagging into Multi-Task Sequence Prediction
Supertagging is a sequence prediction task where each word is assigned a piece of complex syntactic structure called a supertag. We provide a novel approach to multi-task learning for Tree Adjoining Grammar (TAG) superta…
Multi-Task LearningPredictionTAGSupertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
Supertagging is conventionally regarded as an important task for combinatory categorial grammar (CCG) parsing, where effective modeling of contextual information is highly important to this task. However, existing studie…
CCG Supertagging