Matches in ScholarlyData for { ?s ?p ?o. }
- 718 creator sabine-bergler.
- 718 type InProceedings.
- 718 label "Minding the Source: Automatic Tagging of Reported Speech in Newspaper Articles".
- 718 sameAs 718.
- 718 abstract "Reported speech in the form of direct and indirect reported speech is an important indicator of evidentiality in traditional newspaper texts, but also increasingly in the new media that rely heavily on citation and quotation of previous postings, as for instance in blogs or newsgroups. This paper details the basic processing steps for reported speech analysis and reports on performance of an implementation in form of a GATE resource.".
- 718 hasAuthorList authorList.
- 718 hasTopic Linguistics.
- 718 isPartOf proceedings.
- 718 keyword "Grammars".
- 718 keyword "Information Extraction, Information Retrieval".
- 718 keyword "Tagging".
- 718 title "Minding the Source: Automatic Tagging of Reported Speech in Newspaper Articles".
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- item-1 hasContent ralf-krestel.
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- item-2 hasContent sabine-bergler.
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- item-3 type ListItem.
- item-3 hasContent rene-witte.
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- 72 creator qin-lu.
- 72 creator tiejun-zhao.
- 72 creator yuhang-yang.
- 72 type InProceedings.
- 72 label "Chinese Term Extraction Based on Delimiters".
- 72 sameAs 72.
- 72 abstract "Existing techniques extract term candidates by looking for internal and contextual information associated with domain specific terms. The algorithms always face the dilemma that fewer features are not enough to distinguish terms from non-terms whereas more features lead to more conflicts among selected features. This paper presents a novel approach for term extraction based on delimiters which are much more stable and domain independent. The proposed approach is not as sensitive to term frequency as that of previous works. This approach has no strict limit or hard rules and thus they can deal with all kinds of terms. It also requires no prior domain knowledge and no additional training to adapt to new domains. Consequently, the proposed approach can be applied to different domains easily and it is especially useful for resource-limited domains. Evaluations conducted on two different domains for Chinese term extraction show significant improvements over existing techniques which verifies its efficiency and domain independent nature. Experiments on new term extraction indicate that the proposed approach can also serve as an effective tool for domain lexicon expansion.".
- 72 hasAuthorList authorList.
- 72 hasTopic Linguistics.
- 72 isPartOf proceedings.
- 72 keyword "Information Extraction, Information Retrieval".
- 72 keyword "Lexicon, lexical database".
- 72 title "Chinese Term Extraction Based on Delimiters".
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- item-1 hasContent yuhang-yang.
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- item-2 hasContent qin-lu.
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- item-3 hasContent tiejun-zhao.
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- 720 creator margot-mieskes.
- 720 creator mark-christoph-mueller.
- 720 creator michael-strube.
- 720 type InProceedings.
- 720 label "Knowledge Sources for Bridging Resolution in Multi-Party Dialog".
- 720 sameAs 720.
- 720 abstract "In this paper we investigate the coverage of the two knowledge sources WordNet and Wikipedia for the task of bridging resolution. We report on an annotation experiment which yielded pairs of bridging anaphors and their antecedents in spoken multi-party dialog. Manual inspection of the two knowledge sources showed that, with some interesting exceptions, Wikipedia is superior to WordNet when it comes to the coverage of information necessary to resolve the bridging anaphors in our data set. We further describe a simple procedure for the automatic extraction of the required knowledge from Wikipedia by means of an API, and discuss some of the implications of the procedure s performance.".
- 720 hasAuthorList authorList.
- 720 hasTopic Linguistics.
- 720 isPartOf proceedings.
- 720 keyword "Discourse".
- 720 keyword "Lexicon, lexical database".
- 720 keyword "Semantic Web".
- 720 title "Knowledge Sources for Bridging Resolution in Multi-Party Dialog".
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- item-1 hasContent mark-christoph-mueller.
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- item-2 hasContent margot-mieskes.
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- item-3 hasContent michael-strube.
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- 721 creator johan-bos.
- 721 type InProceedings.
- 721 label "Let s not Argue about Semantics".
- 721 sameAs 721.
- 721 abstract "What s the best way to assess the performance of a semantic component in an NLP system? Tradition in NLP evaluation tells us that comparing output against a gold standard is a good idea. To define a gold standard, one first needs to decide on the representation language, and in many cases a first-order language seems a good compromise between expressive power and efficiency. Secondly, one needs to decide how to represent the various semantic phenomena, in particular the depth of analysis of quantification, plurals, eventualities, thematic roles, scope, anaphora, presupposition, ellipsis, comparatives, superlatives, tense, aspect, and time-expressions. Hence it will be hard to come up with an annotation scheme unless one permits different level of semantic granularity. The alternative is a theory-neutral black-box type evaluation where we just look at how systems react on various inputs. For this approach, we can consider the well-known task of recognising textual entailment, or the lesser-known task of textual model checking. The disadvantage of black-box methods is that it is difficult to come up with natural data that cover specific semantic phenomena.".
- 721 hasAuthorList authorList.
- 721 hasTopic Linguistics.
- 721 isPartOf proceedings.
- 721 keyword "Discourse".
- 721 keyword "Evaluation methodologies".
- 721 keyword "Semantics".
- 721 title "Let s not Argue about Semantics".
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