25 citations · 53 across the 15 of their papers we have counts for
5 papers · 1 filter
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks
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. In this work, we cast…
Combining (second-order) graph-based and headed-span-based projective dependency parsing
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. Recently, \citet{Yang2022Span} pr…
Headed-Span-Based Projective Dependency Parsing
Songlin Yang, Kewei Tu
We propose a new method for projective dependency parsing based on headed spans. In a projective dependency tree, the largest subtree rooted at each word covers a contiguous sequen…
Neural Bi-Lexicalized PCFG Induction
Songlin Yang, Yanpeng Zhao, Kewei Tu
Neural lexicalized PCFGs (L-PCFGs) have been shown effective in grammar induction. However, to reduce computational complexity, they make a strong independence assumption on the ge…
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
Songlin Yang, Yanpeng Zhao, Kewei Tu
Probabilistic context-free grammars (PCFGs) with neural parameterization have been shown to be effective in unsupervised phrase-structure grammar induction. However, due to the cub…