Abstract The Conference on Computational Natural Language Learning is accompanied
every year by a shared task whose purpose is to promote natural language processing …

User‐generated content on the Web has become an extremely valuable source for mining
and analyzing user opinions on any topic. Recent years have seen an increasing body of …

Urban rail transit emergencies in China's large cities are frequent occurrences but currently,
operation managers lack effective analysis tools that can help in reducing them. In this study …

We present a transition-based parser that jointly produces syntactic and semantic
dependencies. It learns a representation of the entire algorithm state, using stack long short …

Joint models of syntactic and semantic parsing have the potential to improve performance
on both tasks—but to date, the best results have been achieved with pipelines. We introduce …

Abstract Our CoNLL 2009 Shared Task system includes three cascaded components:
syntactic parsing, predicate classification, and semantic role labeling. A pseudo-projective …

Current investigations in data-driven models of parsing have shifted from purely syntactic
analysis to richer semantic representations, showing that the successful recovery of the …

This paper investigates a generative history-based parsing model that synchronises the
derivation of non-planar graphs representing semantic dependencies with the derivation of …

We present an integrated dependencybased semantic role labeling system for English from
both NomBank and Prop-Bank. By introducing assistant argument labels and considering …

This paper describes a unified neural architecture for identifying and classifying multi-typed
semantic relations between words in a sentence. We investigate two typical and well-studied …