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Semantic Dependency Parsing

6 papers with code · Natural Language Processing
Subtask of Semantic Parsing

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Simpler but More Accurate Semantic Dependency Parsing

ACL 2018 tdozat/Parser-v3

While syntactic dependency annotations concentrate on the surface or functional structure of a sentence, semantic dependency annotations aim to capture between-word relationships that are more closely related to the meaning of a sentence, using graph-structured representations.

DEPENDENCY PARSING SEMANTIC DEPENDENCY PARSING

Deep Multitask Learning for Semantic Dependency Parsing

ACL 2017 Noahs-ARK/NeurboParser

We present a deep neural architecture that parses sentences into three semantic dependency graph formalisms.

DEPENDENCY PARSING SEMANTIC DEPENDENCY PARSING

Learning Joint Semantic Parsers from Disjoint Data

NAACL 2018 swabhs/coling18tutorial

We present a new approach to learning semantic parsers from multiple datasets, even when the target semantic formalisms are drastically different, and the underlying corpora do not overlap.

DEPENDENCY PARSING SEMANTIC DEPENDENCY PARSING

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks

ACL 2019 wangxinyu0922/Second_Order_SDP

Semantic dependency parsing aims to identify semantic relationships between words in a sentence that form a graph.

DEPENDENCY PARSING SEMANTIC DEPENDENCY PARSING

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks

ACL 2019 wangxinyu0922/Second_Order_SDP

Semantic dependency parsing aims to identify semantic relationships between words in a sentence that form a graph.

DEPENDENCY PARSING SEMANTIC DEPENDENCY PARSING

Backpropagating through Structured Argmax using a SPIGOT

ACL 2018 Noahs-ARK/SPIGOT

We introduce the structured projection of intermediate gradients optimization technique (SPIGOT), a new method for backpropagating through neural networks that include hard-decision structured predictions (e. g., parsing) in intermediate layers.

DEPENDENCY PARSING SEMANTIC DEPENDENCY PARSING SENTIMENT ANALYSIS