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Proceedings of the Second Financial Narrative Processing Workshop (FNP 2019)
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42 |
Developing multilingual automatic semantic annotation systems
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43 |
A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation
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44 |
CLEU- A Cross-Language-Urdu Corpus and Benchmark For Text Reuse Experiments
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45 |
Multilingual Financial Narrative Processing:Analysing Annual Reports in English, Spanish and Portuguese
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46 |
Enhancing the linguistic discovery potential of historical corpora:A twin-track approach using ARCHER
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47 |
Classifying Information Sources in Arabic Twitter to Support Online Monitoring of Infectious Diseases
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49 |
FIESTA:Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
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Abstract:
We present FIESTA, a model selection approach that significantly reduces the computational resources required to reliably identify state-of-the-art performance from large collections of candidate models. Despite being known to produce unreliable comparisons, it is still common practice to compare model evaluations based on single choices of random seeds. We show that reliable model selection also requires evaluations based on multiple train-test splits (contrary to common practice in many shared tasks). Using bandit theory from the statistics literature, we are able to adaptively determine appropriate numbers of data splits and random seeds used to evaluate each model, focusing computational resources on the evaluation of promising models whilst avoiding wasting evaluations on models with lower performance. Furthermore, our user-friendly Python implementation produces confidence guarantees of correctly selecting the optimal model. We evaluate our algorithms by selecting between 8 target-dependent sentiment analysis methods using dramatically fewer model evaluations than current model selection approaches.
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URL: https://eprints.lancs.ac.uk/id/eprint/135308/ https://eprints.lancs.ac.uk/id/eprint/135308/1/1906.12230v1.pdf
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50 |
Open Welsh Language Resources for a Corpus Annotation Framework
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52 |
How do people describe personal recovery experiences in bipolar disorder in structured and informal settings?
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53 |
In Search of Meaning:Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse
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56 |
Towards a Multilingual Financial Narrative Processing System
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57 |
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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59 |
Increasing Interoperability for Embedding Corpus Annotation Pipelines in Wmatrix and other corpus retrieval tools
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60 |
Arabic Dialect Identification in the Context of Bivalency and Code-Switching
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