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- 44 creator jean-luc-minel.
- 44 creator philippe-laublet.
- 44 creator stephanie-weiser.
- 44 type InProceedings.
- 44 label "Automatic Identification of Temporal Information in Tourism Web Pages".
- 44 sameAs 44.
- 44 abstract "This paper presents our work on the detection of temporal information in web pages. The pages examined within the scope of this study were taken from the tourism sector and the temporal information in question is thus particular to this area. The differences that exist between extraction from plain textual data and extraction from the web are brought to light. These differences mainly concern the spatial arrangement of the text, the use of punctuation and the respect of traditional syntactic rules. The temporal expressions to be extracted are classified into two kinds: temporal information that concerns one particular event and repetitive temporal information. We adopt a symbolic approach relying on patterns and rules for the detection, extraction and annotation of temporal expressions; our method is based on the use of transducers. First evaluations have shown promising results. Since the visual structure of a web page is very important and often informs the user before he has even read the text, a semiotic study is also presented in this paper.".
- 44 hasAuthorList authorList.
- 44 hasTopic Linguistics.
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- 44 keyword "Information Extraction, Information Retrieval".
- 44 keyword "Multimedia annotation and processing".
- 44 keyword "Semantic Web".
- 44 title "Automatic Identification of Temporal Information in Tourism Web Pages".
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- 440 creator hajime-mochizuki.
- 440 creator reiko-kaji.
- 440 type InProceedings.
- 440 label "Constructing a Database of Non-Japanese Pronunciations of Different Japanese Romanizations".
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- 440 abstract "In this paper, we investigated how foreign language speakers pronounce Japanese words transliterated using two major Romanization systems, Hepburn and Kunrei. First, we recorded foreign language speakers pronouncing Romanized Japanese words. Next, Japanese speakers listened to the recordings and wrote down the words in Japanese Kana. Sets of each Romanized Japanese word, its correct Kana expression, its recorded reading, and the Kana dictated from the recording were stored in our database. We also investigated which of the two Romanization systems was pronounced more correctly by foreign language speakers by comparing the correctness of their respective readings. We also investigated which system s pronunciation by foreign language speakers was judged as more acceptable by Japanese speakers.".
- 440 hasAuthorList authorList.
- 440 hasTopic Linguistics.
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- 440 keyword "Corpus (creation, annotation, etc.)".
- 440 keyword "Multilinguality".
- 440 keyword "Phonetic Databases, Phonology".
- 440 title "Constructing a Database of Non-Japanese Pronunciations of Different Japanese Romanizations".
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- 442 creator brian-kemper.
- 442 creator hiroaki-kitano.
- 442 creator jun-ichi-tsujii.
- 442 creator kanae-oda.
- 442 creator naoaki-okazaki.
- 442 creator norihiro-kikuchi.
- 442 creator rune-saetre.
- 442 creator sophia-ananiadou.
- 442 creator yoshimasa-tsuruoka.
- 442 creator yukiko-matsuoka.
- 442 type InProceedings.
- 442 label "Connecting Text Mining and Pathways using the PathText Resource".
- 442 sameAs 442.
- 442 abstract "Many systems have been developed in the past few years to assist researchers in the discovery of knowledge published as English text, for example in the PubMed database. At the same time, higher level collective knowledge is often published using a graphical notation representing all the entities in a pathway and their interactions. We believe that these pathway visualizations could serve as an effective user interface for knowledge discovery if they can be linked to the text in publications. Since the graphical elements in a Pathway are of a very different nature than their corresponding descriptions in English text, we developed a prototype system called PathText. The goal of PathText is to serve as a bridge between these two different representations. In this paper, we first describe the overall architecture and the interfaces of the PathText system, and then provide some details about the core Text Mining components.".
- 442 hasAuthorList authorList.
- 442 hasTopic Linguistics.
- 442 isPartOf proceedings.
- 442 keyword "Corpus (creation, annotation, etc.)".
- 442 keyword "LR web services".
- 442 keyword "Text mining".
- 442 title "Connecting Text Mining and Pathways using the PathText Resource".
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