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Failing to identify multi-word expression (MWE) may cause serious problems for many Natural Language Processing (NLP) tasks. Previous approaches heavily depend on language specific knowledge and pre-existing natural language processing (NLP) tools. However, many languages (including Chinese language) have less such resources and tools compared to English. An automatically learn effective features...
This paper describes performance of an interpreter uncovering meanings of prepositions in "master" — preposition — "slave" constructions. The basis of the semantic interpreter is a set of "if A, than B" rules, with the left parts containing lexical and semantic markers of the "masters" and the "slaves" and morphological markers of the "slaves"...
To provide the elderly with appropriate and timely caregiving in activities of daily life (ADL), it is desired for robots to have the capability of intention awareness (IA). Different from existing context-specific intention awareness (CSIA) approaches which are based on a limited and passive knowledge database, our approach, named ‘WebIA’, adopts a novel web query approach to establish a vast and...
This paper evaluates CONSPECT, a service that analyses states in a learner's conceptual development. It combines two technologies - Latent Semantic Analysis to analyse text and Network Analysis (NA) to provide visualisations - into a technique called Meaningful Interaction Analysis (MIA). CONSPECT was designed to help both online learners and their tutors monitor their conceptual development. This...
In Information Retrieval (IR), the similarity scores between a query and a set of documents are calculated, and the relevant documents are ranked based on their similarity scores. IR systems often consider queries as short documents containing only a few words in calculating document similarity score. In Computer Aided Assessment (CAA) of narrative answers, when model answers are available, the similarity...
It is an important work in natural language processing to measure the semantic similarity between two words. This paper proposes a new method for computing word similarity based on pattern vector space model. Analogous to traditional vector space model in information retrieval, a word is represented as a vector in this paper. Each dimension corresponds to a contextual pattern. The similarity between...
This paper regards Web as a semantic lexicon and alleviates the problem of bilingual lexical knowledge acquiring. Based on mix-language Web page counts, four Web bilingual relatedness (WBR) measurements are built. WBR measurements are evaluated by a modified Miller-Charles' dataset and it is found that the measurement based on point-wise mutual information achieves the best performance. Furthermore,...
The annotation of hundreds of thousands of utterances for the training of statistical utterance classifiers requires a careful quality assurance procedure to make the data consistent and reliable. In this paper, we present five methods to analyze different aspects of annotated data to ensure their Completeness, Consistency, Correlation, Congruence and to avoid Confusion-collectively referred to as...
Reports generated by soldiers are common in time-critical military environments. Data fusion systems that attempt to process those reports must maintain the context for each set of observations to avoid inaccurate state estimates. This paper analyzes the selection and assignment of topical context under a Bayesian methodology. We present several techniques to decrease the hypothesis space and heuristics...
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