Automatic Coding of Short Text Responses via Clustering in Educational Assessment

Automatic Item Text Generation in Educational Assessment

We present an automatic text generation system (ATG) developed for the generation of natural language text for automatically produced test items. This ATG has been developed to work with an automatic item generation system for analytical reasoning items for use in tests with high-stakes outcomes (such as college admissions decisions). As such, the development and implementation of this ATG is c...

Automatic Assessment of Short Free Text Answers

Short Text Clustering via Convolutional Neural Networks

Short text clustering has become an increasing important task with the popularity of social media, and it is a challenging problem due to its sparseness of text representation. In this paper, we propose a Short Text Clustering via Convolutional neural networks (abbr. to STCC), which is more beneficial for clustering by considering one constraint on learned features through a self-taught learnin...

Semi-supervised Clustering for Short Text via Deep Representation Learning

In this work, we propose a semi-supervised method for short text clustering, where we represent texts as distributed vectors with neural networks, and use a small amount of labeled data to specify our intention for clustering. We design a novel objective to combine the representation learning process and the kmeans clustering process together, and optimize the objective with both labeled data a...

Automatic Text Summarization Using Lexical Clustering

The goal of automatic text summarization is to reduce the size of a document while preserving its content. We investigate a summarization method which uses not only statistical features but also the contextual meaning of documents by using lexical clustering. We present a new method to compute lexical cluster in a text without high cost knowledge resources; the WordNet thesaurus. Summarization ...