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- 877 creator hua-zhong.
- 877 creator kai-yun-chen.
- 877 creator nianwen-xue.
- 877 type InProceedings.
- 877 label "Annotating tense in a Tense-less Language".
- 877 sameAs 877.
- 877 abstract "In the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a tense annotation task for Chinese - a language that does not have grammatical tense - that is designed to infer the temporal location of a situation in relation to the temporal deixis, the moment of speech. If successful, this would be a highly rewarding endeavor as it has application in many natural language systems. Our preliminary experiments show that while this is a very challenging annotation task for which high annotation consistency is very difficult but not impossible to achieve. We show that guidelines that provide a conceptually intuitive framework will be crucial to the success of this annotation effort.".
- 877 hasAuthorList authorList.
- 877 hasTopic Linguistics.
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- 877 keyword "Corpus (creation, annotation, etc.)".
- 877 keyword "Machine Translation, SpeechToSpeech Translation".
- 877 keyword "Morphology".
- 877 title "Annotating tense in a Tense-less Language".
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- 88 creator ekaterina-lapshinova-koltunski.
- 88 creator ulrich-heid.
- 88 type InProceedings.
- 88 label "Head or Non-head? Semi-automatic Procedures for Extracting and Classifying Subcategorisation Properties of Compounds.".
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- 88 abstract "In this paper we discuss an approach to the semi-automatic extraction and classification of the compounds extracted from German corpora. Compound nominals are semi-automatically extracted from text corpora along with their sentential complements. In this study we concentrate on that, wh or if subclauses although our methods can be applied to other complements as well. We elaborate an architecture using linguistic knowledge about the phenomena we extract, and aim at answering the following questions: how can data about subcategorisation properties of nominal compounds be extracted from text corpora, and how can compounds be classified according to their subcategorisation properties? Our classification is based on the relationships between the subcategorisation of nominal compounds, e.g. Grundfrage, Wettstreit and Beweismittel, and that of their constituent parts, such as Frage, Streit, Beweis, etc. We show that there are cases which do not match the commonly accepted assumption that the head of a compound is its valency bearer. Such cases should receive a specific treatment in NLP dictionary building. This calls for tools to identify and classify such cases by means of data extraction from corpora. We propose precision-oriented semiautomatic extraction which can operate on tokenized, tagged and lemmatized texts. In the future, we are going to extend the kinds of extracted complements beyond subclauses and analyze the nature of the non-head valency-bearer of compounds, as well as an extension of the kinds of extracted complements beyond subclauses.".
- 88 hasAuthorList authorList.
- 88 hasTopic Linguistics.
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- 88 keyword "Corpus (creation, annotation, etc.)".
- 88 keyword "Knowledge representation".
- 88 keyword "LR Infrastructures and Architectures".
- 88 title "Head or Non-head? Semi-automatic Procedures for Extracting and Classifying Subcategorisation Properties of Compounds.".
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- 880 creator ann-bies.
- 880 creator aous-mansouri.
- 880 creator martha-palmer.
- 880 creator mohamed-maamouri.
- 880 creator mona-diab.
- 880 creator olga-babko-malaya.
- 880 creator wajdi-zaghouani.
- 880 type InProceedings.
- 880 label "A Pilot Arabic Propbank".
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- 880 abstract "In this paper, we present the details of creating a pilot Arabic proposition bank (Propbank). Propbanks exist for both English and Chinese. However the morphological and syntactic expression of linguistic phenomena in Arabic yields a very different type of process in creating an Arabic propbank. Hence, we highlight those characteristics of Arabic that make creating a propbank for the language a different challenge compared to the creation of an English Propbank.We believe that many of the lessons learned in dealing with Arabic could generalise to other languages that exhibit equally rich morphology and relatively free word order.".
- 880 hasAuthorList authorList.
- 880 hasTopic Linguistics.
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- 880 keyword "Knowledge representation".
- 880 keyword "Lexicon, lexical database".
- 880 keyword "Semantics".
- 880 title "A Pilot Arabic Propbank".
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