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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 81 – 89 of 89 81 Uncertainty Detection as Approximate Max-Margin Sequence Labelling Oscar Täckström; Sumithra Velupillai; Martin Hassel... In: http://people.dsv.su.se/%7Ehercules/papers/taeckstroem_et_al_conll_final_2010.pdf BASE Show details 82 Evaluating Learning Language Representations Jussi Karlgren; Jimmy Callin; Kevyn Collins-thompson; Amaru Cuba; Ariel Ekgren; David Jurgens; Anna Korhonen; Fredrik Olsson; Magnus Sahlgren; Gavagai Stockholm; Kungl Tekniska Högskolan In: http://www.cl.cam.ac.uk/%7Ealk23/paper_24.pdf Abstract: Abstract. Machine learning offers significant benefits for systems that process and understand natural language: a) lower maintenance and up-keep costs than when using manually-constructed resources, b) easier portability to new domains, tasks, or languages, and c) robust and timely adaptation to situation-specific settings. However, the behaviour of an adaptive system is less predictable than when using an edited, stable re-source, which makes quality control a continuous issue. This paper pro-poses an evaluation benchmark for measuring the quality, coverage, and stability of a natural language system as it learns word meaning. Inspired by existing tests for human vocabulary learning, we outline measures for the quality of semantic word representations, such as when learning word embeddings or other distributed representations. These measures high-light differences between the types of underlying learning processes as systems ingest progressively more data. Keyword: language representations; semantic spaces; word embeddings URL: http://www.cl.cam.ac.uk/%7Ealk23/paper_24.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.1498 BASE Hide details 83 Natural Language Information Retrieval: TREC-7 Report Tomek Strzalkowski; Gees Stein; G. Bowden Wise... In: http://trec.nist.gov/pubs/trec7/papers/ge.pdf.gz BASE Show details 84 Proceedings of the Third NTCIR Workshop English-Japanese Cross-lingual Query Expansion Using Random Indexing of Aligned Bilingual Text Data Magnus Sahlgren; Preben Hansen; Jussi Karlgren In: http://www.mt-archive.info/NTCIR-2002-Sahlgren.pdf BASE Show details 85 2004. Dictionary-based Amharic - English Information Retrieval Atelach Alemu Argaw; Lars Asker; Rickard Cöster... In: http://www.sics.se/%7Ejussi/Artiklar/2004_CLEF_Bath/SU_SICS_CLEF04.pdf BASE Show details 86 Dictionary based Amharic- English Information Retrieval Atelach Alemu Argaw; Lars Asker; Jussi Karlgren In: http://www.sics.se/~jussi/Artiklar/2004_CLEF_Bath/arkiv/report2 Folder/clef_aack.pdf BASE Show details 87 Dictionary based Amharic- English Information Retrieval Atelach Alemu Argaw; Lars Asker; Jussi Karlgren In: http://www.sics.se/~jussi/Artiklar/2004_CLEF_Bath/arkiv/aack/clef_aack.pdf BASE Show details 88 Proceedings of the Third NTCIR Workshop English-Japanese Cross-lingual Query Expansion Using Random Indexing of Aligned Bilingual Text Data Magnus Sahlgren; Preben Hansen; Jussi Karlgren In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings3/NTCIR3-PATENT-SahlgrenM.pdf BASE Show details 89 Experiments to investigate the utility of nearest neighbour metrics based on linguistically informed features for detecting textual plagiarism Per Almquist Jussi Karlgren In: http://soda.swedish-ict.se/4150/1/nodalida2011-pa.pdf BASE Show details Page: 1 2 3 4 5

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