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- item-3 hasContent peter-c-nelson.
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- 600 creator alexander-hauptmann.
- 600 creator wei-hao-lin.
- 600 type InProceedings.
- 600 label "Vox Populi Annotation: Measuring Intensity of Ideological Perspectives by Aggregating Group Judgments".
- 600 sameAs 600.
- 600 abstract "Polarizing discussions about political and social issues are common in mass media. Annotations on the degree to which a sentence expresses an ideological perspective can be valuable for evaluating computer programs that can automatically identify strongly biased sentences, but such annotations remain scarce. We annotated the intensity of ideological perspectives expressed in 250 sentences by aggregating judgments from 18 annotators. We proposed methods of determining the number of annotators and assessing reliability, and showed the annotations were highly consistent across different annotator groups.".
- 600 hasAuthorList authorList.
- 600 hasTopic Linguistics.
- 600 isPartOf proceedings.
- 600 keyword "Corpus (creation, annotation, etc.)".
- 600 keyword "Discourse".
- 600 keyword "Statistical methods".
- 600 title "Vox Populi Annotation: Measuring Intensity of Ideological Perspectives by Aggregating Group Judgments".
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- item-1 hasContent wei-hao-lin.
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- item-2 hasContent alexander-hauptmann.
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- 604 creator irene-castellon.
- 604 creator jordi-carrrera.
- 604 creator marta-coll-florit.
- 604 creator salvador-climent.
- 604 type InProceedings.
- 604 label "Towards Spanish Verbs Selectional Preferences Automatic Acquisition: Semantic Annotation of the SenSem Corpus".
- 604 sameAs 604.
- 604 abstract "We present the results of an agreement task carried out in the framework of the KNOW Project and consisting in manually annotating an agreement sample totaling 50 sentences extracted from the SenSem corpus. Diambiguation was carried out for all nouns, proper nouns and adjectives in the sample, all of which were assigned EuroWordNet (EWN) synsets. As a result of the task, Spanish WN has been shown to exhibit 1) lack of explanatory clarity (it does not define word meanings, but glosses and examplifies them instead; it does not systematically encode metaphoric meanings, either); 2) structural inadequacy (some words appear as hyponyms of another sense of the same word; sometimes there even coexist in Spanish WN a general sense and a specific one related to the same concept, but with no structural link in between; hyperonymy relationships have been detected that are likely to raise doubts to human annotators; there can even be found cases of auto-hyponymy); 3) cross-linguistic inconsistency (there exist in English EWN concepts whose lexical equivalent is missing in Spanish WN; glosses in one language more often than not contradict or diverge from glosses in another language).".
- 604 hasAuthorList authorList.
- 604 hasTopic Linguistics.
- 604 isPartOf proceedings.
- 604 keyword "Corpus (creation, annotation, etc.)".
- 604 keyword "Semantics".
- 604 keyword "Word Sense Disambiguation".
- 604 title "Towards Spanish Verbs Selectional Preferences Automatic Acquisition: Semantic Annotation of the SenSem Corpus".
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- item-1 hasContent jordi-carrrera.
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- item-2 hasContent irene-castellon.
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- item-3 hasContent salvador-climent.
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- item-4 hasContent marta-coll-florit.
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- 606 creator andrew-c-morris.
- 606 creator christophe-veaux.
- 606 creator pierre-lanchantin.
- 606 creator xavier-rodet.
- 606 type InProceedings.
- 606 label "Automatic Phoneme Segmentation with Relaxed Textual Constraints".
- 606 sameAs 606.
- 606 abstract "Speech synthesis by unit selection requires the segmentation of a large single speaker high quality recording. Automatic speech recognition techniques, e.g. Hidden Markov Models (HMM), can be optimised for maximum segmentation accuracy. This paper presents the results of tuning such a phoneme segmentation system. Firstly, using no text transcription, the design of an HMM phoneme recogniser is optimised subject to a phoneme bigram language model. Optimal performance is obtained with triphone models, 7 states per phoneme and 5 Gaussians per state, reaching 94.4% phoneme recognition accuracy with 95.2% of phoneme boundaries within 70 ms of hand labelled boundaries. Secondly, using the textual information modeled by a multi-pronunciation phonetic graph built according to errors found in the first step, the reported phoneme recognition accuracy increases to 96.8% with 96.1% of phoneme boundaries within 70 ms of hand labelled boundaries. Finally, the results from these two segmentation methods based on different phonetic graphs, the evaluation set, the hand labelling and the test procedures are discussed and possible improvements are proposed.".
- 606 hasAuthorList authorList.
- 606 hasTopic Linguistics.
- 606 isPartOf proceedings.
- 606 keyword "Corpus (creation, annotation, etc.)".
- 606 keyword "Speech recognition and understanding".
- 606 keyword "Speech synthesis, Text-to-speech systems".
- 606 title "Automatic Phoneme Segmentation with Relaxed Textual Constraints".
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- item-1 hasContent pierre-lanchantin.
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- item-2 hasContent andrew-c-morris.
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- item-3 hasContent xavier-rodet.
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- item-4 hasContent christophe-veaux.
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- 607 creator jin-dong-kim.
- 607 creator jun-ichi-tsujii.