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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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Abstract:
We critically assess mainstream accounting and finance research applying methods from computational linguistics (CL) to study financial discourse. We also review common themes and innovations in the literature and assess the incremental contributions of work applying CL methods over manual content analysis. Key conclusions emerging from our analysis are: (a) accounting and finance research is behind the curve in terms of CL methods generally and word sense disambiguation in particular; (b) implementation issues mean the proposed benefits of CL are often less pronounced than proponents suggest; (c) structural issues limit practical relevance; and (d) CL methods and high quality manual analysis represent complementary approaches to analyzing financial discourse. We describe four CL tools that have yet to gain traction in mainstream AF research but which we believe offer promising ways to enhance the study of meaning in financial discourse. The four approaches are named entity recognition, summarization, semantics and corpus linguistics.
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URL: https://eprints.lancs.ac.uk/id/eprint/131272/1/SSRN_id3330757.pdf https://eprints.lancs.ac.uk/id/eprint/131272/ https://doi.org/10.1111/jbfa.12378
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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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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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