Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing

10/16/2021
by   Haoyue Shi, et al.
0

We present substructure distribution projection (SubDP), a technique that projects a distribution over structures in one domain to another, by projecting substructure distributions separately. Models for the target domains can be then trained, using the projected distributions as soft silver labels. We evaluate SubDP on zero-shot cross-lingual dependency parsing, taking dependency arcs as substructures: we project the predicted dependency arc distributions in the source language(s) to target language(s), and train a target language parser to fit the resulting distributions. When an English treebank is the only annotation that involves human effort, SubDP achieves better unlabeled attachment score than all prior work on the Universal Dependencies v2.2 (Nivre et al., 2020) test set across eight diverse target languages, as well as the best labeled attachment score on six out of eight languages. In addition, SubDP improves zero-shot cross-lingual dependency parsing with very few (e.g., 50) supervised bitext pairs, across a broader range of target languages.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 7

page 17

08/27/2019

A survey of cross-lingual features for zero-shot cross-lingual semantic parsing

The availability of corpora to train semantic parsers in English has lea...
08/18/2017

Cross-Lingual Dependency Parsing for Closely Related Languages - Helsinki's Submission to VarDial 2017

This paper describes the submission from the University of Helsinki to t...
10/17/2019

Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study

Cross-lingual dependency parsing involves transferring syntactic knowled...
09/14/2021

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction

Zero-shot cross-lingual information extraction (IE) describes the constr...
04/30/2020

Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies

We describe a method for developing broad-coverage semantic dependency p...
03/01/2021

On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions

Recent complementary strands of research have shown that leveraging info...
10/09/2021

On the Relation between Syntactic Divergence and Zero-Shot Performance

We explore the link between the extent to which syntactic relations are ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.