Abstract Task 18 at SemEval 2015 defines Broad-Coverage Semantic Dependency Parsing
(SDP) as the problem of recovering sentence-internal predicate–argument relationships for …

Over the last decade, the increased use of social media has led to an increase in hateful
activities in social networks. Hate speech is one of the most dangerous of these activities, so …

Tokenization is widely regarded as a solved problem due to the high accuracy that rule-
based tokenizers achieve. But rule-based tokenizers are hard to maintain and their rules …

Modern OCR engines incorporate some form of error correction, typically based on
dictionaries. However, there are still residual errors that decrease performance of natural …

Advances in digital technology and the World Wide Web has led to the increase of digital
documents that are used for various purposes such as publishing and digital library. This …

Sentence boundary detection (SBD) system is normally quite sensitive to genres of data that
the system is trained on. The genres of data are often referred to the shifts of text topics and …

ABSTRACT A major gap in the automation of construction cost estimation is the need of
manual inputs to complete cost estimation processes. To address this gap, the authors …

This paper describes how a tokenizer can be trained from any dataset in the Universal
Dependencies 2.1 corpus (UD2)(Nivre et al., 2017). A software tool, which relies on …

A precise syntacto-semantic analysis of English requires a large detailed lexicon with the
possibility of treating multiple tokens as a single meaning-bearing unit, a word-with-spaces …

In this work we take a view of syntactic analysis as processing 'raw', running text instead of
idealised, pre-segmented inputs—a task we dub document parsing. We observe the state of …