Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations

A Method to Generate Simplified Systemic Functional Parses from Dependency Parses

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification

Recent work on aspect-level sentiment classification has demonstrated the efficacy of incorporating syntactic structures such as dependency trees with graph neural networks(GNN), but these approaches are usually vulnerab…

Neural Ranking Models for Temporal Dependency Structure Parsing

We design and build the first neural temporal dependency parser. It utilizes a neural ranking model with minimal feature engineering, and parses time expressions and events in a text into a temporal dependency tree struc…

Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis

Accurate recovery of predicate-argument structure from a Universal Dependency (UD) parse is central to downstream tasks such as extraction of semantic roles or event representations. This study introduces compchains, a c…

Do Syntax Trees Help Pre-trained Transformers Extract Information?

Much recent work suggests that incorporating syntax information from dependency trees can improve task-specific transformer models. However, the effect of incorporating dependency tree information into pre-trained transf…