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On the Acquisition of Ellipsis and Anaphora by First and Second Language Learners
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In: North East Linguistics Society (2020)
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Distributed Mutation
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In: North East Linguistics Society (2020)
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Articulation modelling of vowels in dysarthric and non-dysarthric speech
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Measurement of $W^{\pm}$-boson and $Z$-boson production cross-sections in $pp$ collisions at $\sqrt{s}=2.76$ TeV with the ATLAS detector
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A pragmatic guide to geoparsing evaluation ...
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Abstract:
Abstract: Empirical methods in geoparsing have thus far lacked a standard evaluation framework describing the task, metrics and data used to compare state-of-the-art systems. Evaluation is further made inconsistent, even unrepresentative of real world usage by the lack of distinction between the different types of toponyms, which necessitates new guidelines, a consolidation of metrics and a detailed toponym taxonomy with implications for Named Entity Recognition (NER) and beyond. To address these deficiencies, our manuscript introduces a new framework in three parts. (Part 1) Task Definition: clarified via corpus linguistic analysis proposing a fine-grained Pragmatic Taxonomy of Toponyms. (Part 2) Metrics: discussed and reviewed for a rigorous evaluation including recommendations for NER/Geoparsing practitioners. (Part 3) Evaluation data: shared via a new dataset called GeoWebNews to provide test/train examples and enable immediate use of our contributions. In addition to fine-grained Geotagging and Toponym ...
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Keyword:
Evaluation framework; Geocoding; Geonames; Geoparsing; Geotagging; Machine learning; Named Entity Recognition; Natural language understanding; Original Paper; Pragmatics; Toponym resolution; Toponyms
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URL: https://www.repository.cam.ac.uk/handle/1810/310459 https://dx.doi.org/10.17863/cam.57553
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A framework for streamlined statistical prediction using topic models ...
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Fraud detection in telephone conversations for financial services using linguistic features ...
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“Of” in Paradise Lost as evidence for the metrical line ...
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Unseen word representation by aligning heterogeneous lexical semantic spaces ...
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