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Mention Flags (MF): Constraining Transformer-based Text Generators ...
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Agent-Based Modeling of the Evolution of Vowel Harmony
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In: North East Linguistics Society (2020)
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VnCoreNLP: A Vietnamese Natural Language Processing Toolkit ...
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Morphological features of the Irish universal dependency treebank
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In: Lynn, Teresa, Foster, Jennifer orcid:0000-0002-7789-4853 and Dras, Mark (2017) Morphological features of the Irish universal dependency treebank. In: 15th International Workshop on Treebanks and Linguistic Theories (TLT15), 20-21 Jan 2017, Bloomington, IN, USA. (2017)
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Morphological features of the Irish Universal Dependency Treebank
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Modeling Language Change in Historical Corpora: The Case of Portuguese ...
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Location mention detection in tweets and microblogs
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Abstract:
The automatic identification of location expressions in social media text is an actively researched task. We present a novel approach to detection mentions of locations in the texts of microblogs and social media. We propose an approach based on Noun Phrase extraction and n-gram based matching instead of the traditional methods using Named Entity Recognition (NER) or Conditional Random Fields (CRF), arguing that our method is better suited to noisy microblog text. Our proposed system is comprised of several individual modules to detect addresses, Points of Interest (e.g. hospitals or universities), distance and direction markers; and location names (e.g. suburbs or countries). Our system won the ALTA 2014 Twitter Location Detection shared task with an F-score of 0.792 for detecting location expressions in a test set of 1,000 tweets, demonstrating its efficacy for this task. A number of directions for future work are discussed. ; 12 page(s)
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Keyword:
location detection; location identification; microblog; social media; tweet; twitter
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URL: http://hdl.handle.net/1959.14/1058263
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Arabic Dialect Identification using a Parallel Multidialectal Corpus
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Automatic Language Identification for Persian and Dari texts
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Large-scale Native Language Identification with cross-corpus evaluation
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Oracle and human baselines for native language identification
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Cross-lingual transfer parsing for low-resourced languages: an Irish case study
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In: Lynn, Teresa, Foster, Jennifer orcid:0000-0002-7789-4853 , Dras, Mark orcid:0000-0001-9908-7182 and Tounsi, Lamia (2014) Cross-lingual transfer parsing for low-resourced languages: an Irish case study. In: First Celtic Language Technology Workshop, 23 Aug 2014, Dublin, Ireland. (2014)
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