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A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation
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CLEU- A Cross-Language-Urdu Corpus and Benchmark For Text Reuse Experiments
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Multilingual Financial Narrative Processing:Analysing Annual Reports in English, Spanish and Portuguese
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Open Welsh Language Resources for a Corpus Annotation Framework
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In Search of Meaning:Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse
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Towards a Multilingual Financial Narrative Processing System
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Profiling Medical Journal Articles Using a Gene Ontology Semantic Tagger
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Bringing replication and reproduction together with generalisability in NLP:Three reproduction studies for Target Dependent Sentiment Analysis
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Increasing Interoperability for Embedding Corpus Annotation Pipelines in Wmatrix and other corpus retrieval tools
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Arabic Dialect Identification in the Context of Bivalency and Code-Switching
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Towards a Welsh semantic tagger:creating lexicons for a resource poor language
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Abstract:
Semantic annotation is an important part of corpus linguistics. A major tool for semantic tagger is the USAS developed at Lancaster University, which was originally designed for English but has been extended to cover many more languages. In the CorCenCC Project (http://sites.cardiff.ac.uk/corcencc), we are extending the USAS to automatically annotate Welsh language data with the USAS semantic tagset. In this paper, we report on the development of Welsh semantic lexicons for the semantic tagger, in which we have already built a Welsh semantic lexicon containing 143,290 entries that has achieved a lexical coverage of 72.42% in an initial evaluation. An initial version of the Welsh semantic tagger has already been developed based on the lexical resource.
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URL: https://eprints.lancs.ac.uk/id/eprint/84728/
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A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation
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Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter:predicting sentiment from financial news headlines
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Towards Interactive Multidimensional Visualisations for Corpus Linguistics
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A deeply annotated testbed for geographical text analysis:The Corpus of Lake District Writing
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Domain adaptation using stock market prices to refine sentiment dictionaries
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