This book presents a taxonomy framework and survey of methods relevant to explaining the
decisions and analyzing the inner workings of Natural Language Processing (NLP) models …

Abstract The Parallel Meaning Bank (PMB) serves as a corpus for semantic processing with
a focus on semantic parsing and text generation. Currently, we witness an excellent …

Background Biomedical named entity recognition (BioNER) is a fundamental and essential
task for biomedical literature mining, which affects the performance of downstream tasks …

In lexical semantics, full-sentence segmentation and segment labeling of various
phenomena are generally treated separately, despite their interdependence. We …

Despite the recent improvements in automatic speech recognition (ASR) systems, their
accuracy is imperfect in live conversational settings. Classifying the importance of each word …

This paper gives a general description of the ideas behind the Parallel Meaning Bank, a
framework with the aim to provide an easy way to annotate compositional semantics for texts …

In the present paper, two models are presented namely LSTM-CRF and BERT-LSTM-CRF
for semantic tagging of universal semantic tag dataset. The experiments show that the first …

While social media enables the plurality of opinions, it is also where a lot of discrimination
and hate take place. This paper presents a lexical analysis of Slovene socially unacceptable …

Abstract Universal Semantic Tagging aims to provide lightweight unified analysis for all
languages at the word level. Though the proposed annotation scheme is conceptually …

Computer learner corpora (CLC) are electronic stored collections of either written or spoken
texts which are produced by learners of a language, as a foreign language (Granger 2004 …