Matches in ScholarlyData for { ?s ?p ?o. }
- 758 keyword "Validation of LRs".
- 758 title "Combining Terminology Resources and Statistical Methods for Entity Recognition: an Evaluation".
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- item-1 hasContent angus-roberts.
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- item-2 hasContent robert-gaizasukas.
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- item-3 hasContent mark-hepple.
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- item-4 hasContent yikun-guo.
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- 759 creator kim-luyckx.
- 759 creator walter-daelemans.
- 759 type InProceedings.
- 759 label "Personae: a Corpus for Author and Personality Prediction from Text".
- 759 sameAs 759.
- 759 abstract "We present a new corpus for computational stylometry, more specifically authorship attribution and the prediction of author personality from text. Because of the large number of authors (145), the corpus will allow previously impossible studies of variation in features considered predictive for writing style. The innovative meta-information (personality profiles of the authors) associated with these texts allows the study of personality prediction, a not yet very well researched aspect of style. In this paper, we describe the contents of the corpus and show its use in both authorship attribution and personality prediction. We focus on features that have been proven useful in the field of author recognition. Syntactic features like part-of-speech n-grams are generally accepted as not being under the author s conscious control and therefore providing good clues for predicting gender or authorship. We want to test whether these features are helpful for personality prediction and authorship attribution on a large set of authors. Both tasks are approached as text categorization tasks. First a document representation is constructed based on feature selection from the linguistically analyzed corpus (using the Memory-Based Shallow Parser (MBSP)). These are associated with each of the 145 authors or each of the four components of the Myers-Briggs Type Indicator (Introverted-Extraverted, Sensing-iNtuitive, Thinking-Feeling, Judging-Perceiving). Authorship attribution on 145 authors achieves results around 50%-accuracy. Preliminary results indicate that the first two personality dimensions can be predicted fairly accurately.".
- 759 hasAuthorList authorList.
- 759 hasTopic Linguistics.
- 759 isPartOf proceedings.
- 759 keyword "Acquisition, Machine Learning".
- 759 keyword "Corpus (creation, annotation, etc.)".
- 759 keyword "Document Classification, Text categorisation".
- 759 title "Personae: a Corpus for Author and Personality Prediction from Text".
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- item-1 hasContent kim-luyckx.
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- item-2 hasContent walter-daelemans.
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- 76 creator alon-itai.
- 76 creator einav-itamar.
- 76 type InProceedings.
- 76 label "Using Movie Subtitles for Creating a Large-Scale Bilingual Corpora".
- 76 sameAs 76.
- 76 abstract "This paper presents a method for compiling a large-scale bilingual corpus from a database of movie subtitles. To create the corpus, we propose an algorithm based on Gale and Church s sentence alignment algorithm(1993). However, our algorithm not only relies on character length information, but also uses subtitle-timing information, which is encoded in the subtitle files. Timing is highly correlated between subtitles in different versions (for the same movie), since subtitles that match should be displayed at the same time. However, the absolute time values can t be used for alignment, since the timing is usually specified by frame numbers and not by real time, and converting it to real time values is not always possible, hence we use normalized subtitle duration instead. This results in a significant reduction in the alignment error rate.".
- 76 hasAuthorList authorList.
- 76 hasTopic Linguistics.
- 76 isPartOf proceedings.
- 76 keyword "Corpus (creation, annotation, etc.)".
- 76 keyword "Machine Translation, SpeechToSpeech Translation".
- 76 keyword "Multilinguality".
- 76 title "Using Movie Subtitles for Creating a Large-Scale Bilingual Corpora".
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- item-1 hasContent einav-itamar.
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- item-2 hasContent alon-itai.
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- 760 creator alberto-simoes.
- 760 creator diana-santos.
- 760 type InProceedings.
- 760 label "Portuguese-English Word Alignment: some Experiments".
- 760 sameAs 760.
- 760 abstract "In this paper we describe some studies of Portuguese-English word alignment, focusing on (i) measuring the importance of the coupling between dictionaries and corpus; (ii) assessing the relevance of using syntactic information (POS and lemma) or just word forms, and (iii) taking into account the direction of translation. We first provide some motivation for the studies, as well as insist in separating type from token anlignment. We then briefly describe the resources employed: the EuroParl and COMPARA corpora, and the alignment tools, NATools, introducing some measures to evaluate the two kinds of dictionaries obtained. We then present the results of several experiments, comparing sizes, overlap, translation fertility and alignment density of the several bilingual resources built. We also describe preliminary data as far as quality of the resulting dictionaries or alignment results is concerned.".
- 760 hasAuthorList authorList.
- 760 hasTopic Linguistics.
- 760 isPartOf proceedings.
- 760 keyword "Corpus (creation, annotation, etc.)".
- 760 keyword "Machine Translation, SpeechToSpeech Translation".
- 760 keyword "Validation of LRs".
- 760 title "Portuguese-English Word Alignment: some Experiments".
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- item-1 hasContent diana-santos.
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- item-2 hasContent alberto-simoes.
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- 762 creator david-day.
- 762 creator janet-hitzeman.
- 762 creator keith-crouch.
- 762 creator massimo-poesio.
- 762 creator michael-wick.