Thesis Abstract Akshay Aggarwal July 2020 This thesis attempts at correction of some errors and inconsistencies in dif- ferent treebanks. The inconsistencies can be related to linguistic constructions, failure of the guidelines of annotation, failure to understand the guidelines on annotator's part, or random errors caused by annotators, among others. We propose a metric to attest the POS annotation consistency of different tree- banks in the same language, when the annotation guidelines remain the same. We offer solutions to some previously identified inconsistencies in the scope of the Universal Dependencies Project, and check the viability of a proposed in- consistency detection tool in a low-resource setting. The solutions discussed in ...
In this paper, we present several ways to measure and evaluate the annotation and annotators, propos...
This work describes how derivation tree fragments based on a variant of Tree Adjoining Grammar (TAG)...
Universal Dependencies is an open community effort to create cross-linguistically consistent treeban...
This paper discusses an automatic, data-driven approach to treebank error detection. The approach ad...
A fundamental issue in annotation efforts is to ensure that the same phenomena within and across cor...
A fundamental issue in annotation efforts is to ensure that the same phenomena within and across cor...
Cross-linguistically consistent annotation is necessary for sound comparative evaluation and cross-l...
This paper describes a statistical approach to detect annotation errors in dependency treebanks. As ...
We studied the treebanks included in HamleDT and partially unified their label sets. Afterwards, we ...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
Automatic inconsistency detection in parsed corpora is significantly helpful for building more and l...
We present HamleDT – a HArmonized Multi-LanguagE Dependency Treebank. HamleDT is a compilation of ex...
In this paper, we present several ways to measure and evaluate the annotation and annotators, propos...
This work describes how derivation tree fragments based on a variant of Tree Adjoining Grammar (TAG)...
Universal Dependencies is an open community effort to create cross-linguistically consistent treeban...
This paper discusses an automatic, data-driven approach to treebank error detection. The approach ad...
A fundamental issue in annotation efforts is to ensure that the same phenomena within and across cor...
A fundamental issue in annotation efforts is to ensure that the same phenomena within and across cor...
Cross-linguistically consistent annotation is necessary for sound comparative evaluation and cross-l...
This paper describes a statistical approach to detect annotation errors in dependency treebanks. As ...
We studied the treebanks included in HamleDT and partially unified their label sets. Afterwards, we ...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank a...
Automatic inconsistency detection in parsed corpora is significantly helpful for building more and l...
We present HamleDT – a HArmonized Multi-LanguagE Dependency Treebank. HamleDT is a compilation of ex...
In this paper, we present several ways to measure and evaluate the annotation and annotators, propos...
This work describes how derivation tree fragments based on a variant of Tree Adjoining Grammar (TAG)...
Universal Dependencies is an open community effort to create cross-linguistically consistent treeban...