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- item-1 hasContent cosmin-bejan.
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- item-2 hasContent sanda-harabagiu.
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- 735 creator alan-black.
- 735 creator robert-frederking.
- 735 creator tanja-schultz.
- 735 creator udhyakumar-nallasamy.
- 735 type InProceedings.
- 735 label "NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls".
- 735 sameAs 735.
- 735 abstract "In this paper, we describe NineOneOne (9-1-1), a system designed to recognize and translate Spanish emergency calls for better dispatching. We analyze the research challenges in adapting speech translation technology to 9-1-1 domain. We report our initial research towards building the system and the results of our initial experiments.".
- 735 hasAuthorList authorList.
- 735 hasTopic Linguistics.
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- 735 keyword "Dialogue & Natural Interactivity".
- 735 keyword "Machine Translation, SpeechToSpeech Translation".
- 735 keyword "Speech recognition and understanding".
- 735 title "NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls".
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- item-1 hasContent udhyakumar-nallasamy.
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- item-2 hasContent alan-black.
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- 736 creator kugatsu-sadamitsu.
- 736 creator mikio-yamamoto.
- 736 creator satoshi-sekine.
- 736 type InProceedings.
- 736 label "Sentiment Analysis Based on Probabilistic Models Using Inter-Sentence Information".
- 736 sameAs 736.
- 736 abstract "This paper proposes a new method of the sentiment analysis utilizing inter-sentence structures especially for coping with reversal phenomenon of word polarity such as quotation of other s opinions on an opposite side. We model these phenomenon using Hidden Conditional Random Fields(HCRFs) with three kinds of features: transition features, polarity features and reversal (of polarity) features. Polarity features and reversal features are doubly added to each word, and each weight of the features are trained by the common structure of positive and negative corpus in, for example, assuming that reversal phenomenon occured for the same reason (features) in both polarity corpus. Our method achieved better accuracy than the Naive Bayes method and as good as SVMs.".
- 736 hasAuthorList authorList.
- 736 hasTopic Linguistics.
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- 736 keyword "Document Classification, Text categorisation".
- 736 keyword "Language modelling".
- 736 keyword "Text mining".
- 736 title "Sentiment Analysis Based on Probabilistic Models Using Inter-Sentence Information".
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- item-1 hasContent kugatsu-sadamitsu.
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- 737 creator catalina-hallett.
- 737 creator david-hardcastle.
- 737 type InProceedings.
- 737 label "Automatic Rewriting of Patient Record Narratives".
- 737 sameAs 737.
- 737 abstract "Patients require access to Electronic Patient Records, however medical language is often too difficult for patients to understand. Explaining records to patients is a time-consuming task, which we attempt to simplify by automating the translation procedure. This paper introduces a research project dealing with the automatic rewriting of medical narratives for the benefit of patients. We are looking at various ways in which technical language can be transposed into patient-friendly language by means of a comparison with patient information materials. The text rewriting procedure we describe could potentially have an impact on the quality of information delivered to patients. We report on some preliminary experiments concerning rewriting at lexical and paragaph level. This is an ongoing project which currently addresses a restricted number of issues, including target text modelling and text rewriting at lexical level.".
- 737 hasAuthorList authorList.
- 737 hasTopic Linguistics.
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- 737 keyword "Generation".
- 737 keyword "Language modelling".
- 737 keyword "Tools, systems, applications".
- 737 title "Automatic Rewriting of Patient Record Narratives".
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- item-1 hasContent catalina-hallett.
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