Search Results for author: Songlin Yang

Found 11 papers, 8 papers with code

Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing

1 code implementation ACL 2022 Chao Lou, Songlin Yang, Kewei Tu

They treat nested entities as partially-observed constituency trees and propose the masked inside algorithm for partial marginalization.

Constituency Parsing Entity Typing +3

Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks

1 code implementation ACL 2022 Songlin Yang, Kewei Tu

Constituency parsing and nested named entity recognition (NER) are similar tasks since they both aim to predict a collection of nested and non-crossing spans.

Constituency Parsing named-entity-recognition +3

Combining (second-order) graph-based and headed-span-based projective dependency parsing

1 code implementation Findings (ACL) 2022 Songlin Yang, Kewei Tu

Graph-based methods, which decompose the score of a dependency tree into scores of dependency arcs, are popular in dependency parsing for decades.

Dependency Parsing

Headed-Span-Based Projective Dependency Parsing

1 code implementation ACL 2022 Songlin Yang, Kewei Tu

In a projective dependency tree, the largest subtree rooted at each word covers a contiguous sequence (i. e., a span) in the surface order.

Constituency Parsing Dependency Parsing

A Systematical Solution for Face De-identification

no code implementations19 Jul 2021 Songlin Yang, Wei Wang, Yuehua Cheng, Jing Dong

Through this, we can construct unrestricted adversarial image to decrease ID similarity recognized by model.

De-identification Disentanglement +1

PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols

1 code implementation NAACL 2021 Songlin Yang, Yanpeng Zhao, Kewei Tu

In this work, we present a new parameterization form of PCFGs based on tensor decomposition, which has at most quadratic computational complexity in the symbol number and therefore allows us to use a much larger number of symbols.

Constituency Grammar Induction

Second-Order Unsupervised Neural Dependency Parsing

1 code implementation COLING 2020 Songlin Yang, Yong Jiang, Wenjuan Han, Kewei Tu

Inspired by second-order supervised dependency parsing, we proposed a second-order extension of unsupervised neural dependency models that incorporate grandparent-child or sibling information.

Dependency Grammar Induction

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