Dependency-based analyses for function words -- Introducing the polygraphic approach

Construction of an English Dependency Corpus incorporating Compound Function Words

The recognition of multiword expressions (MWEs) in a sentence is important for such linguistic analyses as syntactic and semantic parsing, because it is known that combining an MWE into a single token improves accuracy f…

Function Words as Statistical Cues for Language Learning

What statistical properties might support learning abstract grammatical knowledge from linear input? We address this question by examining the statistical distribution of function words. Function words have been argued t…

Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing

Dependency parsing is an important fundamental natural language processing task which analyzes the syntactic structure of an input sentence by illustrating the syntactic relations between words. To improve dependency par…

Long Short-Term Memory with Dynamic Skip Connections

In recent years, long short-term memory (LSTM) has been successfully used to model sequential data of variable length. However, LSTM can still experience difficulty in capturing long-term dependencies. In this work, we t…

Dependency Network Syntax: From Dependency Treebanks to a Classification of Chinese Function Words