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WordNet gloss translation for under-resourced languages using multilingual neural machine translation
(European Association for Machine Translation, 2019-08-19)
In this paper, we translate the glosses in
the English WordNet based on the expand approach for improving and generating wordnets with the help of multilingual
neural machine translation. Neural Machine Translation (NMT) ...
A decade of Semantic Web research through the lenses of a mixed methods approach
(IOS Press, 2019-06-20)
The identification of research topics and trends is an important scientometric activity, as it can help guide the direction of future research. In the Semantic Web area, initially topic and trend detection was primarily ...
Veritas annotator: Discovering the origin of a rumour
(Association for Computational Linguistics (ACL), 2019-11-03)
Defined as the intentional or unintentional
spread of false information (K et al., 2019)
through context and/or content manipulation,
fake news has become one of the most serious
problems associated with online ...
Towards electronic lexicography for the Kurdish language
(eLex 2019, 2019-10-01)
This paper describes the development of lexicographic resources for Kurdish and provides a
lexical model for this language. Kurdish is considered a less-resourced language, and currently,
lacks machine-readable lexical ...
Neural machine translation of literary texts from English to Slovene
(Machine Translation Summit 2019, 2019-08-19)
Neural Machine Translation has shown
promising performance in literary texts.
Since literary machine translation has not
yet been researched for the English-toSlovene translation direction, this paper
aims to fulfill ...
Truth or lie: Automatically fact checking news
(ACM, 2018-04-23)
In the actual scenario of ever-growing data consumption speed and quantity, factors like news source decentralization, citizen journalism and democratization of media, make the task of manually checking and correcting ...
Discovering protein drug targets using knowledge graph embeddings
(Oxford University Press, 2019-08-01)
Motivation
Computational approaches for predicting drug-target interactions (DTIs) can provide valuable insights into the drug mechanism of action. DTI predictions can help to quickly identify new promising (on-target) ...
The ELEXIS interface for interoperable lexical resources
(eLex 2019, 2019-10-01)
ELEXIS is a project that aims to create a European network of lexical resources, and one of
the key challenges for this is the development of an interoperable interface for different lexical
resources so that further ...
Multilingual multimodal machine translation for Dravidian languages utilizing phonetic transcription
(European Association for Machine Translation, 2019-08-19)
Multimodal machine translation is the task
of translating from a source text into the
target language using information from
other modalities. Existing multimodal
datasets have been restricted to only highly
resourced ...
Back-translation approach for code-switching machine translation: A case study
(AICS2019, 2019-12-05)
Recently, machine translation has demonstrated significant
progress in terms of translation quality. However, most of the research
has focused on translating with pure monolingual texts in the source
and the target side ...