Titlebook: Computational Linguistics and Intelligent Text Processing; 15th International C Alexander Gelbukh Conference proceedings 2014 Springer-Verl

BULLY

Embolic-Stroke

Improved Text Extraction from PDF Documents for Large-Scale Natural Language Processingne of the largest problems in the conversion of PDF documents is the detection of the boundaries of common textual units such as paragraphs, sentences and words. PDF is a file format optimized for printing and encapsulates a complete description of the layout of a document including text, fonts, gra

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Dependency-Based Semantic Parsing for Concept-Level Text Analysisr understanding of text and helps to significantly increase the accuracy of many text mining tasks. Concept extraction from text is a key step in concept-level text analysis. In this paper, we propose a ConceptNet-based semantic parser that deconstructs natural language text into concepts based on t

GOAT

精致

Exploring Applications of Representation Learning in Nepalilabeled Nepali text, we induce clusters of different sizes. The use of these clusters as features significantly improves the performance compared to the baseline on two standard NLP tasks. In a part-of-speech (PoS) tagging experiment where the train and test domain are the same, the accuracy on the

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