Improving Native Language Identification with TF-IDF Weighting
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Language AcquisitionLanguage IdentificationNative Language IdentificationSimilar Papers 제목 키워드 기반
CIC-FBK Approach to Native Language Identification
We present the CIC-FBK system, which took part in the Native Language Identification (NLI) Shared Task 2017. Our approach combines features commonly used in previous NLI research, i.e., word n-grams, lemma n-grams, part-…
General ClassificationLanguage IdentificationLEMMANative Language IdentificationClassifier Stacking for Native Language Identification
This paper reports our contribution (team WLZ) to the NLI Shared Task 2017 (essay track). We first extract lexical and syntactic features from the essays, perform feature weighting and selection, and train linear support…
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Identification-robust hypothesis tests are commonly based on the continuous updating GMM objective function. When the number of moment conditions grows proportionally with the sample size, the large-dimensional weighting…
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification
Video-based person re-identification plays an important role in surveillance video analysis, expanding image-based methods by learning features of multiple frames. Most existing methods fuse features by temporal average-…
AttributePerson Re-IdentificationVideo-Based Person Re-IdentificationDiP: Learning Discriminative Implicit Parts for Person Re-Identification
In person re-identification (ReID) tasks, many works explore the learning of part features to improve the performance over global image features. Existing methods explicitly extract part features by either using a hand-d…
Person Re-IdentificationPosition