CCG Supertagging

8 papers with code • 1 benchmarks • 2 datasets

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.


Vinken , 61 years old
N , N/N N (S[adj]\ NP)\ NP

Most implemented papers

Targeted Syntactic Evaluation of Language Models

BeckyMarvin/LM_syneval EMNLP 2018

We automatically construct a large number of minimally different pairs of English sentences, each consisting of a grammatical and an ungrammatical sentence.

Semi-Supervised Sequence Modeling with Cross-View Training

tensorflow/models EMNLP 2018

We therefore propose Cross-View Training (CVT), a semi-supervised learning algorithm that improves the representations of a Bi-LSTM sentence encoder using a mix of labeled and unlabeled data.

Hierarchically-Refined Label Attention Network for Sequence Labeling

Nealcly/LAN IJCNLP 2019

CRF has been used as a powerful model for statistical sequence labeling.

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models

cqcl/lambeq 21 Sep 2021

This report describes the parsing problem for Combinatory Categorial Grammar (CCG), showing how a combination of Transformer-based neural models and a symbolic CCG grammar can lead to substantial gains over existing approaches.

Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions

konstantinoskokos/dynamic-graph-supertagging 23 Mar 2022

The syntactic categories of categorial grammar formalisms are structured units made of smaller, indivisible primitives, bound together by the underlying grammar's category formation rules.

Keystroke dynamics as signal for shallow syntactic parsing

bplank/coling2016ks COLING 2016

Keystroke dynamics have been extensively used in psycholinguistic and writing research to gain insights into cognitive processing.

Exploring the Syntactic Abilities of RNNs with Multi-task Learning

emengd/multitask-agreement CONLL 2017

Recent work has explored the syntactic abilities of RNNs using the subject-verb agreement task, which diagnoses sensitivity to sentence structure.

Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks

cuhksz-nlp/NeST-CCG EMNLP 2020

Specifically, we build the graph from chunks (n-grams) extracted from a lexicon and apply attention over the graph, so that different word pairs from the contexts within and across chunks are weighted in the model and facilitate the supertagging accordingly.