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- 380 hasTopic Linguistics.
- 380 isPartOf proceedings.
- 380 keyword "LR Infrastructures and Architectures".
- 380 keyword "Metadata".
- 380 keyword "Tools, systems, applications".
- 380 title "Language-Sites: Accessing and Presenting Language Resources via Geographic Information Systems".
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- item-1 hasContent dieter-van-uytvanck.
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- item-2 hasContent alex-dukers.
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- item-3 hasContent jacquelijn-ringersma.
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- 382 creator a-cuneyd-tantug.
- 382 creator ilknur-durgar-el-kahlout.
- 382 creator kemal-oflazer.
- 382 type InProceedings.
- 382 label "BLEU+: a Tool for Fine-Grained BLEU Computation".
- 382 sameAs 382.
- 382 abstract "We present a tool, BLEU+, which implements various extension to BLEU computation to allow for a better understanding of the translation performance, especially for morphologically complex languages. BLEU+ takes into account both closeness in morphological structure, closeness of the root words in the WordNet hierarchy while comparing tokens in the candidate and reference sentence. In addition to gauging performance at a finer level of granularity, BLEU+ also allows the computation of various upper bound oracle scores: comparing all tokens considering only the roots allows us to get an upper bound when all errors due to morphological structure are fixed, while comparing tokens in an error-tolerant way considering minor morpheme edit operations, allows us to get a (more realistic) upper bound when tokens that differ in morpheme insertions/deletions and substitutions are fixed. We use BLEU+ in the fine-grained evaluation of the output of our English-to-Turkish statistical MT system.".
- 382 hasAuthorList authorList.
- 382 hasTopic Linguistics.
- 382 isPartOf proceedings.
- 382 keyword "Evaluation methodologies".
- 382 keyword "Tools, systems, applications".
- 382 title "BLEU+: a Tool for Fine-Grained BLEU Computation".
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- item-1 hasContent a-cuneyd-tantug.
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- item-2 hasContent kemal-oflazer.
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- item-3 hasContent ilknur-durgar-el-kahlout.
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- 383 creator bart-jongejan.
- 383 creator hercules-dalianis.
- 383 creator jussi-karlgren.
- 383 type InProceedings.
- 383 label "Experiments to Investigate the Connection between Case Distribution and Topical Relevance of Search Terms in an Information Retrieval Setting".
- 383 sameAs 383.
- 383 abstract "We have performed a set of experiments made to investigate the utility of morphological analysis to improve retrieval of documents written in languages with relatively large morphological variation in a practical commercial setting, using the SiteSeeker search system developed and marketed by Euroling Ab. The objective of the experiments was to evaluate different lemmatisers and stemmers to determine which would be the most practical for the task at hand: highly interactive, relatively high precision web searches in commercial customer-oriented document collections. This paper gives an overview of some of the results for Finnish and German, and describes specifically one experiment designed to investigate the case distribution of nouns in a highly inflectional language (Finnish) and the topicality of the nouns in target texts. We find that topical nouns taken from queries are distributed differently over relevant and non-relevant documents depending on their grammatical case.".
- 383 hasAuthorList authorList.
- 383 hasTopic Linguistics.
- 383 isPartOf proceedings.
- 383 keyword "Information Extraction, Information Retrieval".
- 383 keyword "Knowledge representation".
- 383 keyword "Morphology".
- 383 title "Experiments to Investigate the Connection between Case Distribution and Topical Relevance of Search Terms in an Information Retrieval Setting".
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- item-1 hasContent jussi-karlgren.
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- 384 creator andrew-hickl.
- 384 creator kirk-roberts.
- 384 type InProceedings.
- 384 label "Scaling Answer Type Detection to Large Hierarchies".
- 384 sameAs 384.
- 384 abstract "This paper describes the creation of a state-of-the-art answer type detection system capable of recognizing more than 200 different expected answer types with greater than 85% precision and recall. After describing how we constructed a new, multi-tiered answer type hierarchy from the set of entity types recognized by Language Computer Corporation s CICEROLITE named entity recognition system, we describe how we used this hierarchy to annotate a new corpus of more than 10,000 English factoid questions. We show how an answer type detection system trained on this corpus can be used to enhance the accuracy of a state-of-the-art question-answering system (Hickl et al., 2007; Hickl et al., 2006b) by more than 7% overall.".
- 384 hasAuthorList authorList.
- 384 hasTopic Linguistics.
- 384 isPartOf proceedings.
- 384 keyword "Corpus (creation, annotation, etc.)".
- 384 keyword "Document Classification, Text categorisation".
- 384 keyword "Question Answering".
- 384 title "Scaling Answer Type Detection to Large Hierarchies".
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