paper-with-me

Papers

Bootstrapping Role and Reference Grammar Treebanks via Universal Dependencies

2021-12-01 · UDW (SyntaxFest) 2021 12 · Kilian Evang, Tatiana Bladier, Laura Kallmeyer, Simon Petitjean
📄 PDF Abstract BibTeX

Code (1)

https://gitlab.com/treegrasp/ud2rrg 공식 구현

Similar Papers 제목 키워드 기반

Bootstrapping UD treebanks for Delexicalized Parsing

2019-09-01 · WS (NoDaLiDa) 2019 9 · Prasanth Kolachina, Aarne Ranta

Standard approaches to treebanking traditionally employ a waterfall model (Sommerville, 2010), where annotation guidelines guide the annotation process and insights from the annotation process in turn lead to subsequent …

Statistical Parsing of Tree Wrapping Grammars

2020-12-01 · COLING 2020 8 · Tatiana Bladier, Jakub Waszczuk, Laura Kallmeyer

We describe an approach to statistical parsing with Tree-Wrapping Grammars (TWG). TWG is a tree-rewriting formalism which includes the tree-combination operations of substitution, sister-adjunction and tree-wrapping subs…

Constructing Multilingual CCG Treebanks from Universal Dependencies

2021-09-17 · ACL ARR September 2021 9 · Anonymous

This paper introduces an algorithm to convert Universal Dependencies (UD) treebanks to Combinatory Categorial Grammar (CCG) treebanks. As CCG encodes almost all grammatical information into the lexicon, obtaining a high …

Binarization

From Grammar Rule Extraction to Treebanking: A Bootstrapping Approach

2012-05-01 · LREC 2012 5 · Masood Ghayoomi

Most of the reliable language resources are developed via human supervision. Developing supervised annotated data is hard and tedious, and it will be very time consuming when it is done totally manually; as a result, var…

Development of a Multilingual CCG Treebank via Universal Dependencies Conversion

2022-06-01 · LREC 2022 6 · Tu-Anh Tran, Yusuke Miyao

This paper introduces an algorithm to convert Universal Dependencies (UD) treebanks to Combinatory Categorial Grammar (CCG) treebanks. As CCG encodes almost all grammatical information into the lexicon, obtaining a high-…