Matches in ScholarlyData for { ?s ?p ?o. }
- 884 title "Multimodal Spontaneous Expressive Speech Corpus for Hungarian".
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- item-1 hasContent mark-fek.
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- item-2 hasContent nicolas-audibert.
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- item-3 hasContent janos-szabo.
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- item-4 hasContent albert-rilliard.
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- item-5 hasContent geza-nemeth.
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- item-6 hasContent veronique-auberge.
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- 885 creator stefan-evert.
- 885 type InProceedings.
- 885 label "A Lightweight and Efficient Tool for Cleaning Web Pages".
- 885 sameAs 885.
- 885 abstract "Originally conceived as a naïve baseline experiment using traditional n-gram language models as classifiers, the NCleaner system has turned out to be a fast and lightweight tool for cleaning Web pages with state-of-the-art accuracy (based on results from the CLEANEVAL competition held in 2007). Despite its simplicity, the algorithm achieves a significant improvement over the baseline (i.e. plain, uncleaned text dumps), trading off recall for substantially higher precision. NCleaner is available as an open-source software package. It is pre-configured for English Web pages, but can be adapted to other languages with minimal amounts of manually cleaned training data. Since NCleaner does not make use of HTML structure, it can also be applied to existing Web corpora that are only available in plain text format, with a minor loss in classfication accuracy.".
- 885 hasAuthorList authorList.
- 885 hasTopic Linguistics.
- 885 isPartOf proceedings.
- 885 keyword "Language modelling".
- 885 keyword "Tagging".
- 885 keyword "Tools, systems, applications".
- 885 title "A Lightweight and Efficient Tool for Cleaning Web Pages".
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- item-1 hasContent stefan-evert.
- 886 creator marius-pasca.
- 886 type InProceedings.
- 886 label "Low-Complexity Heuristics for Deriving Fine-Grained Classes of Named Entities from Web Textual Data".
- 886 sameAs 886.
- 886 abstract "We introduce a low-complexity method for acquiring fine-grained classes of named entities from the Web. The method exploits the large amounts of textual data available on the Web, while avoiding the use of any expensive text processing techniques or tools. The quality of the extracted classes is encouraging with respect to both the precision of the sets of named entities acquired within various classes, and the labels assigned to the sets of named entities.".
- 886 hasAuthorList authorList.
- 886 hasTopic Linguistics.
- 886 isPartOf proceedings.
- 886 keyword "Information Extraction, Information Retrieval".
- 886 keyword "Named Entity recognition".
- 886 keyword "Text mining".
- 886 title "Low-Complexity Heuristics for Deriving Fine-Grained Classes of Named Entities from Web Textual Data".
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- item-1 type ListItem.
- item-1 hasContent marius-pasca.
- 887 creator clare-voss.
- 887 creator jamal-laoudi.
- 887 creator jeffrey-micher.
- 887 type InProceedings.
- 887 label "Exploitation of an Arabic Language Resource for Machine Translation Evaluation: using Buckwalter-based Lookup Tool to Augment CMU Alignment Algorithm".
- 887 sameAs 887.
- 887 abstract "Voss et al. (2006) analyzed newswire translations of three DARPA GALE Arabic-English MT systems at the segment level in terms of subjective judgmen+F925t scores, automated metric scores, and correlations among these different score types. At this level of granularity, the correlations are weak. In this paper, we begin to reconcile the subjective and automated scores that underlie these correlations by explicitly grounding MT output with its Reference Translation (RT) prior to subjective or automated evaluation. The first two phases of our approach annotate {MT, RT} pairs with the same types of textual comparisons that subjects intuitively apply, while the third phase (not presented here) entails scoring the pairs: (i) automated calculation of MT-RT hits using CMU aligner from METEOR, (ii) an extension phase where our Buckwalter-based Lookup Tool serves to generate six other textual comparison categories on items in the MT output that the CMU aligner does not identify, and (iii) given the fully categorized RT & MT pair, a final adequacy score is assigned to the MT output, either by an automated metric based on weighted category counts and segment length, or by a trained human judge.".
- 887 hasAuthorList authorList.
- 887 hasTopic Linguistics.
- 887 isPartOf proceedings.
- 887 keyword "Evaluation methodologies".
- 887 keyword "LR web services".
- 887 keyword "Tools, systems, applications".
- 887 title "Exploitation of an Arabic Language Resource for Machine Translation Evaluation: using Buckwalter-based Lookup Tool to Augment CMU Alignment Algorithm".
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- item-1 type ListItem.
- item-1 hasContent clare-voss.
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- item-2 hasContent jamal-laoudi.
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- item-3 hasContent jeffrey-micher.
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- 89 creator simon-krek.
- 89 creator tomas-erjavec.