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Authorship Identification Using a Reduced Set of Linguistic Features
TLDR
The proposed solution for authorship attribution combines a couple of the most important features identified in previous research in this domain with classification algorithms in order to detect the correct author. Expand
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Towards a Deep Speech Model for Romanian Language
TLDR
We present the performance of the DeepSpeech architecture trained for Romanian language over the SWARA speech corpus which contains almost 21 hours of speech data using 17 different speakers. Expand
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Extracting Gamers' Opinions from Reviews
TLDR
We analyzed 9500 entertainment game reviews from Amazon using a Principal Component Analysis applied to word-count indices derived from linguistic resources. Expand
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Expressing Sentiments in Game Reviews
TLDR
We build an NLP model to analyze gamers’ sentiments and opinions expressed in a corpus of 9750 game reviews. Expand
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QAnswer - Enhanced Entity Matching for Question Answering over Linked Data
TLDR
QAnswer is a question answering system that uses DBpedia as a knowledge base and converts natural language questions into a SPARQL query. Expand
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Sentence selection with neural networks using string kernels
TLDR
We explore the improvements achieved by employing neural networks using the features computed by a string kernel for sentence/answer selection in question answering using neural networks. Expand
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Scoring Summaries Using Recurrent Neural Networks
TLDR
We introduce a hybrid model that uses state-of-the-art recurrent neural networks and textual complexity indices to score summaries. Expand
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ReaderBench: A Multi-lingual Framework for Analyzing Text Complexity
TLDR
ReaderBench is a text processing framework relying on advanced Natural Language Processing techniques that encompass a wide range of text analysis modules available in a variety of languages, including English, French, Romanian, and Dutch. Expand
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Improving Deep Learning for Multiple Choice Question Answering with Candidate Contexts
TLDR
We propose a novel deep learning model that determines the correct answer by combining the representation of each question-candidate answer pair with candidate contexts extracted from Wikipedia using a search engine. Expand
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ReaderBench Learns Dutch: Building a Comprehensive Automated Essay Scoring System for Dutch Language
TLDR
We introduce a novel Automatic Essay Scoring method for Dutch language, built within the Readerbench framework, which encompasses a wide range of textual complexity indices, as well as an automated segmentation approach. Expand
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