# Parsing Natural Language Sentences by Semi-supervised Methods

arXiv: https://arxiv.org/abs/1506.04897 · HTML: https://mlsanity.com/paper/1506.04897/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Jun 2015.

## Built on by (most cited first, 2 of 2)

- [Genre as Weak Supervision for Cross-lingual Dependency Parsing](https://mlsanity.com/paper/2109.04733/) (2021)
- [How Universal is Genre in Universal Dependencies?](https://mlsanity.com/paper/2112.04971/) (2021)

## Abstract (arXiv)

We present our work on semi-supervised parsing of natural language sentences, focusing on multi-source crosslingual transfer of delexicalized dependency parsers. We first evaluate the influence of treebank annotation styles on parsing performance, focusing on adposition attachment style. Then, we present KLcpos3, an empirical language similarity measure, designed and tuned for source parser weighting in multi-source delexicalized parser transfer. And finally, we introduce a novel resource combination method, based on interpolation of trained parser models.