Matthew Mulholland

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The major focus of recent knowledge acquisition research has been on problem-solving methods (PSM). This paper present results where a PSM developed for classification has been extended to handle a configuration or parametric design task, designing ion chromatography methods in analytical chemistry. Surprisingly good results have been obtained seemingly(More)
Automated methods for identifying whether sentences are grammatical have various potential applications (e.g., machine translation, automated essay scoring, computer-assisted language learning). In this work, we construct a statistical model of grammaticality using various linguistic features (e.g., misspelling counts, parser outputs, n-gram language model(More)
Inks from seven black and eight blue ballpoint pens were separated by a high-performance liquid chromatography (HPLC) method utilizing a photodiode array detection (PDA). A classifier flowchart was designed for the chromatographic data based on the presence or absence of certain peaks at different wavelengths to qualitatively discriminate between the inks.(More)
Ripple Down Rules (RDR) is a knowledge acquisition method for knowledge based systems (KBS) which facilitates incremental acquisition of knowledge and ensures that the previous performance of the KBS is not degraded by the incremental addition of the new knowledge. This approach is now well established for single classification tasks and more recently has(More)
Can natural language processing be used to predict the likelihood that a musician will commit or has committed suicide? In order to explore this idea, we built a corpus of songs that includes a development set, a training set, and a test set, all consisting of different lyricists. Various vocabulary and syntactic features were then calculated in order to(More)
Body language plays an important role in learning processes and communication. For example, communication research produced evidence that mathematical knowledge can be embodied in gestures made by teachers and students. Likewise, body postures and gestures are also utilized by speakers in oral presentations to convey ideas and important messages.(More)
We present, to our knowledge, the first experiments on using NLP to measure the extent to which a writing sample expresses the writer's utility value from studying a STEM subject. Studies in social psychology have shown that a writing intervention where a STEM student is asked to reflect on the value of the STEM subject in their personal and social life is(More)
The flow schemes of processing plants generally have well-defined nodes, such as reactors or separators, interconnected with pipes. Bearing in mind that the unit representing each node has a certain holdup inventory, the dynamic description of the combined network can be expected to comprise differential and algebraic equations, the latter representing(More)
In this paper, we compare ASR and human transcriptions of non-native speech to investigate to what extent the accuracy and the patterns of errors of a modern ASR system match those of human listeners in the context of automated assessment of L2 English language proficiency. We obtained multiple naïve transcriptions of short fragments of non-native(More)