Th~s paper presents an on-going project mtended to enhance WordNet molpholog~cally and semanttcally The mottvatmn for th~s work steams from the current hm~tat~ons of WordNet when used as a hngmst~c knowledge base We enwmon a software tool that automatically parses the conceptual defining glosses, attributing part-ofspeech tags and phrasal brackets The nouns, verbs, adjectives and adverbs from e...

Equating users' true needs and desires with behavioural measures of 'engagement' is problematic. However, good metrics of 'true preferences' are difficult to define, as cognitive biases make people's preferences change with context and exhibit inconsistencies over time. Yet, HCI research often glosses over the philosophical and theoretical depth of what it means to infer what users really want....

As (1) shows, 1 and 2 person subjects in EA select be, while 3 person selects have (cf. Rohlfs 1968, Giammarco 1979, D’Alessandro & Ledgeway 2006 and D’Alessandro & Roberts 2006 for further discussion). One question that arises in the context of this type of auxiliary-selection system is how passive meanings such as ‘I am seen’ and ‘you are seen’ are to be expressed: as the glosses associated w...

We present a system designed to compute the semantic relatedness between a pair of GermaNet concepts (word senses). Five different metrics have been implemented. Three of them are information content based and incorporate the Two metrics constitute the application of a Lesk algorithm (Lesk 1986) to artificial conceptual glosses generated from GermaNet. We show that four metrics correlate very w...

First, there are a number of medical explanations. These range from legitimate possibilities, such as the effects of endorphins and hypoxia, to more incredible propositions, such as the "memories of birth" interpretation. Second, some of the findings of both secular and Christian psychologists and medical professionals who have researched NDEs are found to conflict with New Age interpretations....

In this paper, we put forward a strategy that supplements Hindi WordNet entries with information on the temporality of its word senses. Each synset of Hindi WordNet is automatically annotated to one of the five dimensions: past, present, future, neutral and atemporal. We use semi-supervised learning strategy to build temporal classifiers over the glosses of manually selected initial seed synset...

This paper describes a tool for the automatic extension and trimming of a multilingual WordNet database for cross-lingual retrieval and multilingual ontology building in intranets and domain-specific document collections. Hierarchies, built from automatically extracted terms and combined with the WordNet relations, are trimmed with a disambiguation method based on the document salience of the w...

We report on three years of data collected in the field from students in graduate and undergraduate seminars at two universities. The students annotated texts for discussion in classes where hypertext and computer interfaces were core topics. The results of our analysis show how annotation style changes with a combination of experience and study of material related to annotation. Our major conc...

This paper proposes a machine learning approach to the task of assigning the international standard on classification of diseases ICD-9-CM codes to clinical records. By treating the task as a text categorisation problem, a classification system was built which explores a variety of features including negation, different strategies of measuring gloss overlaps between the content of clinical reco...