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Data from: A Convolution Kernel Approach to Identifying Comparisons in Text ...
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Data from: A Convolution Kernel Approach to Identifying Comparisons in Text ...
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Quantity and Quality: Not a Zero-Sum Game ... : Quantität und Qualität: kein Nullsummenspiel ...
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Emotional Facial Expressions in Synthesised Sign Language Avatars: a Manual Evaluation.
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In: Other Resources (2015)
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Providing Objective Metrics of Team Communication Skills via Interpersonal coordination Mechanisms
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In: Conference Papers (2015)
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Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences
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In: DTIC (2015)
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A Study on the Efficacy of Sentiment Analysis in Author Attribution
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In: Electronic Theses and Dissertations (2015)
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109 |
SIMPLIFICATION OF VOCAL TRACT SHAPES WITH DIFFERENT LEVELS OF DETAIL
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"Turn left" vs. "Walk towards the cafe" : When relative directions work better than landmarks
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Effects of vocal tract geometry simplifications on the numerical simulation of vowels
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Algoritm för automatiserad generering av metadata ; Algorithm for Automated Generation of Metadata
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Resolving spatial references using crowdsourced geographical data
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On the coverage of science in the media: A big data study on the impact of the Fukushima disaster
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Query-oriented single-document summarization using unsupervised deep learning
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Evaluating Kiama abstract state machines for a Java implementation
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Syntax und Valenz: Zur Modellierung kohärenter und elliptischer Strukturen mit Baumadjunktionsgrammatiken ...
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Supplementary Material Accompanying "Factoring Lexical And Phonetic Phylogenetic Characters From Word Lists" ...
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C-PHRASE Vectors ...
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Abstract:
The C-PHRASE semantic vectors described in the following paper: N.T. Pham, G. Kruszewski, A. Lazaridou, M. Baroni Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model. Proceedings of ACL 2015 (53rd Annual Meeting of the Association for Computational Linguistics). The vectors are the rows of a dense matrix stored in a text file using the tab-delimited format (the first element of each line corresponds to a word, followed by the values in the vector representing it). The text file is then compressed and split it into two files to make the download easier. Please download the following parts, and then concatenate them as shown below: cphrase.txt.zip_aa cphrase.txt.zip_ab cat cphrase.txt.zip_* > cphrase.txt.zip ...
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Keyword:
computational linguistics, entailment, sentence similarity, sentence relatedness, compositional semantics, distributional semantics
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URL: https://dx.doi.org/10.5281/zenodo.2788101 https://zenodo.org/record/2788101
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