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CCG Supertagging
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Combinatory Categorical Grammar (CCG; Steedman, 2000) is a highly lexicalized formalism. The standard parsing model of Clark and Curran (2007) uses over 400 lexical categories (or supertags), compared to about 50 part-of-speech tags for typical parsers.
Example:
| Vinken | , | 61 | years | old |
|---|---|---|---|---|
| N | , | N/N | N | (S[adj]\ NP)\ NP |
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Nealcly/LAN
공식 코드Hierarchically-Refined Label Attention Network for Sequence Labeling
https://github.com/bplank/coling2016ks
공식 코드https://github.com/cuhksz-nlp/NeST-CCG
공식 코드Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
https://github.com/emengd/multitask-agreement
공식 코드Exploring the Syntactic Abilities of RNNs with Multi-task Learning
https://github.com/konstantinoskokos/dynamic-graph-supertagging
공식 코드Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions
https://github.com/LiamMaclean216/Pytorch-Transfomer
Something Old, Something New: Grammar-based CCG Parsing with Transformer Models
https://github.com/Nealcly/BiLSTM-LAN
Hierarchically-Refined Label Attention Network for Sequence Labeling
https://github.com/cqcl/lambeq
Something Old, Something New: Grammar-based CCG Parsing with Transformer Models
https://github.com/huggingface/bert-syntax
https://github.com/icewing1996/bert-syntax
https://github.com/jennhu/reflexive-anaphor-licensing
https://github.com/konstantinoskokos/spindle
Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions
https://github.com/rezkaaufar/pytorch-cvt
https://github.com/tensorflow/models
https://github.com/yoavg/bert-syntax
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.