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- 908 keyword "Syntax".
- 908 title "PASSAGE: from French Parser Evaluation to Large Sized Treebank".
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- item-1 hasContent eric-villemonte-de-la-clergerie.
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- item-2 hasContent olivier-hamon.
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- item-3 hasContent djamel-mostefa.
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- item-4 hasContent christelle-ayache.
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- item-5 hasContent patrick-paroubek.
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- item-6 hasContent anne-vilnat.
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- 909 creator olga-babko-malaya.
- 909 type InProceedings.
- 909 label "Annotation of Nuggets and Relevance in GALE Distillation Evaluation".
- 909 sameAs 909.
- 909 abstract "This paper presents an approach to annotation that BAE Systems has employed in the DARPA GALE Phase 2 Distillation evaluation. The purpose of the GALE Distillation evaluation is to quantify the amount of relevant and non-redundant information a distillation engine is able to produce in response to a specific, formatted query; and to compare that amount of information to the amount of information gathered by a bilingual human using commonly available state-of-the-art tools. As part of the evaluation, following NIST evaluation methodology of complex question answering (Voorhees, 2003), human annotators were asked to establish the relevancy of responses as well as the presence of atomic facts or information units, called nuggets of information. This paper discusses various challenges to the annotation of nuggets, called nuggetization, which include interaction between the granularity of nuggets and relevancy of these nuggets to the query in question. The approach proposed in the paper views nuggetization as a procedural task and allows annotators to revisit nuggetization based on the requirements imposed by the relevancy guidelines defined with a specific end-user in mind. This approach is shown in the paper to produce consistent annotations with high inter-annotator agreement scores.".
- 909 hasAuthorList authorList.
- 909 hasTopic Linguistics.
- 909 isPartOf proceedings.
- 909 keyword "Corpus (creation, annotation, etc.)".
- 909 keyword "Evaluation methodologies".
- 909 keyword "Information Extraction, Information Retrieval".
- 909 title "Annotation of Nuggets and Relevance in GALE Distillation Evaluation".
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- item-1 hasContent olga-babko-malaya.
- 91 creator denis-maurel.
- 91 type InProceedings.
- 91 label "Prolexbase: a Multilingual Relational Lexical Database of Proper Names".
- 91 sameAs 91.
- 91 abstract "This paper deals with a multilingual relational lexical database of proper name, Prolexbase, a free resource available on the CNRTL website. The Prolex model is based on two main concepts: firstly, a language independent pivot and, secondly, the prolexeme (the projection of the pivot onto particular language), that is a set of lemmas (names and derivatives). These two concepts model the variations of proper name: firstly, independent of language and, secondly, language dependent by morphology or knowledge. Variation processing is very important for NLP: the same proper name can be written in different instances, maybe in different parts of speech, and it can also be replaced by another one, a lexical anaphora (that reveals semantic link). The pivot represents different referent s points of view, i.e. language independent variations of name. Pivots are linked by three semantic relations (quasi-synonymy, partitive relation and associative relation). The prolexeme is a set of variants (aliases), quasi-synonyms and morphosemantic derivatives. Prolexemes are linked to classifying contexts and reliability code.".
- 91 hasAuthorList authorList.
- 91 hasTopic Linguistics.
- 91 isPartOf proceedings.
- 91 keyword "Anaphora, Coreference".
- 91 keyword "Lexicon, lexical database".
- 91 keyword "Multilinguality".
- 91 title "Prolexbase: a Multilingual Relational Lexical Database of Proper Names".
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- item-1 hasContent denis-maurel.
- 911 creator alexander-troussov.
- 911 creator brian-davis.
- 911 creator john-judge.
- 911 creator mikhail-sogrin.
- 911 creator siegfried-handschuh.
- 911 type InProceedings.
- 911 label "Linguistically Light Lexical Extensions for Ontologies".
- 911 sameAs 911.
- 911 abstract "The identification of class instances within unstructured text for either the purposes of Ontology population or semantic annotation are usually limited to term mentions of Proper Noun and Personal Noun or fixed Key Phrases within Text Analytics or Ontology based Information Extraction(OBIE) applications. These systems do not generalize to cope with compound nominal classes of multi word expressions. Computational Linguistics approaches involving deep analysis tend to suffer from idiomaticity and overgeneration problems while the shallower words with spaces approach frequently employed in Information Extraction(IE) and Industrial Text Analytics systems lacks flexibility and is prone to lexical proliferation. We outline a representation for encoding light linguistic features of Compound Nominal term mentions of Concepts within an Ontology as well as a lightweight semantic annotator which complies the above linguistic information into efficient Dictionary formats to drive large scale identification and semantic annotation of the aforementioned concepts.".
- 911 hasAuthorList authorList.
- 911 hasTopic Linguistics.
- 911 isPartOf proceedings.
- 911 keyword "MultiWord Expressions & Collocations".
- 911 keyword "Ontologies".
- 911 keyword "Semantic Web".
- 911 title "Linguistically Light Lexical Extensions for Ontologies".
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- item-1 hasContent brian-davis.
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- item-2 hasContent siegfried-handschuh.
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