Distributional Similarity of Words with Different Frequencies

Distributional semantics tries to characterize the meaning of words by the contexts in which they occur. Similarity of words hence can be derived from the similarity of contexts. Contexts of a word are usually vectors of words appearing near to that word in a corpus. It was observed in previous research that similarity measures for the context vectors of two words depend on the frequency of these words. In the present paper we investigate this dependency in more detail for one similarity measure, the Jensen-Shannon divergence. We give an empirical model of this dependency and propose the deviation of the observed Jensen-Shannon divergence from the divergence expected on the basis of the frequencies of the words as an alternative similarity measure. We show that this new similarity measure is superior to both the Jensen-Shannon divergence and the cosine similarity in a task, in which pairs of words, taken from Wordnet, have to be classified as being synonyms or not.

A critical pronouncing dictionary, and expositor of the English language : in which not only the meaning of every word is explained, and the sound of every syllable distinctly shown, but, where words are subject to different pronunciations, the reasons for each are duly considered, and the best pronunciation is selected

Mode of access: Internet.

A tensor encoding model of word meaning : theory and application to information retrieval

This project was a step forward in developing and evaluating a novel, mathematical model that can deduce the meaning of words based on their use in language. This model can be applied to a wide range of natural language applications, including the information seeking process most of us undertake on a daily basis.

No specific role for the manual motor system in processing the meanings of words related to the hand

The present study explored whether semantic and motor systems are functionally interwoven via the use of a dual-task paradigm. According to embodied language accounts that propose an automatic and necessary involvement of the motor system in conceptual processing, concurrent processing of hand-related information should interfere more with hand movements than processing of unrelated body-part (i.e., foot, mouth) information. Across three experiments, 100 right-handed participants performed left- or right-hand tapping movements while repeatedly reading action words related to different body-parts, or different body-part names, in both aloud and silent conditions. Concurrent reading of single words related to specific body-parts, or the same words embedded in sentences differing in syntactic and phonological complexity (to manipulate context-relevant processing), and reading while viewing videos of the actions and body-parts described by the target words (to elicit visuomotor associations) all interfered with right-hand but not left-hand tapping rate. However, this motor interference was not affected differentially by hand-related stimuli. Thus, the results provide no support for proposals that body-part specific resources in cortical motor systems are shared between overt manual movements and meaning-related processing of words related to the hand.

Explorations in the distributional and semantic similarity of words

A straightforward computation of the list of the words (the `tail words' of the list) that are distributionally most similar to a given word (the `head word' of the list) leads to the question: How semantically similar to the head word are the tail words; that is: how similar are their meanings to its meaning? And can we do better? The experiment was done on nearly 18,000 most frequent nouns in a Finnish newsgroup corpus. These nouns are considered to be distributionally similar to the extent that they occur in the same direct dependency relations with the same nouns, adjectives and verbs. The extent of the similarity of their computational representations is quantified with the information radius. The semantic classification of head-tail pairs is intuitive; some tail words seem to be semantically similar to the head word, some do not. Each such pair is also associated with a number of further distributional variables. Individually, their overlap for the semantic classes is large, but the trained classification-tree models have some success in using combinations to predict the semantic class. The training data consists of a random sample of 400 head-tail pairs with the tail word ranked among the 20 distributionally most similar to the head word, excluding names. The models are then tested on a random sample of another 100 such pairs. The best success rates range from 70% to 92% of the test pairs, where a success means that the model predicted my intuitive semantic class of the pair. This seems somewhat promising when distributional similarity is used to capture semantically similar words. This analysis also includes a general discussion of several different similarity formulas, arranged in three groups: those that apply to sets with graded membership, those that apply to the members of a vector space, and those that apply to probability mass functions.

Using Graph Components Derived from an Associative Concept Dictionary to Predict fMRI Neural Activation Patterns that Represent the Meaning of Nouns

In this study, we introduce an original distance definition for graphs, called the Markov-inverse-F measure (MiF). This measure enables the integration of classical graph theory indices with new knowledge pertaining to structural feature extraction from semantic networks. MiF improves the conventional Jaccard and/or Simpson indices, and reconciles both the geodesic information (random walk) and co-occurrence adjustment (degree balance and distribution). We measure the effectiveness of graph-based coefficients through the application of linguistic graph information for a neural activity recorded during conceptual processing in the human brain. Specifically, the MiF distance is computed between each of the nouns used in a previous neural experiment and each of the in-between words in a subgraph derived from the Edinburgh Word Association Thesaurus of English. From the MiF-based information matrix, a machine learning model can accurately obtain a scalar parameter that specifies the degree to which each voxel in (the MRI image of) the brain is activated by each word or each principal component of the intermediate semantic features. Furthermore, correlating the voxel information with the MiF-based principal components, a new computational neurolinguistics model with a network connectivity paradigm is created. This allows two dimensions of context space to be incorporated with both semantic and neural distributional representations.

Analyzing the meaning of background speech is obligatory, distraction by meaning is not

The effects of background English and Welsh speech on memory for visually-presented English words were contrasted amongst monolingual English speakers and bilingual Welsh-English speakers. Equivalent disruption to the English language task was observed amongst Welsh-speaking bilinguals from both English and Welsh speech, but English-speaking monolinguals displayed less disruption from the Welsh speech. An effect of the meaning of the background speech was therefore apparent amongst bilinguals even when the focal memory task was presented in a different language from the distracting speech. A second experiment tested only English-speaking monolinguals, using English as background speech, but varied the demands of the focal task. Participants were asked either to count the number of vowels in words visually presented for future recall, or to rate them for pleasantness, before subsequently being asked to recall the words. Greater disruption to recall was observed from meaningful background speech when participants initially rated the words for pleasantness than when they initially counted the vowels within the words. These results show that background speech is automatically analyzed for meaning, but whether the meaning of the background speech causes distraction is critically dependent upon the nature of the focal task. The data underscore the need to consider not only the nature of office noise, but also the demands and content of the work task when assessing the effects of office noise on work performance.

Theory and Practice: A Matter of Words. Language, Knowledge and Professional Community in Social Work

The relation between theory and practice in social work has always been controversial. Recently, many have underlined how language is crucial in order to capture how knowledge is used in practice. This article introduces a language perspective to the issue, rooted in the ‘strong programme’ in the sociology of knowledge and in Wittgenstein’s late work. According to this perspective, the meaning of categories and concepts corresponds to the use that concrete actors make of them as a result of on-going negotiation processes in specific contexts. Meanings may vary dramatically across social groups moved by different interests and holding different cultures. Accordingly, we may reformulate the issue of theory and practice in terms of the connections between different language games and power relationship between segments of the professional community. In this view, the point is anyway to look at how theoretical language relates to practitioners’ broader frames, and how it is transformed while providing words for making sense of experience.

Third-sector discourses and the future of (un)employment : skilled labor, new technologies, and the meaning of work

In this paper we analyse a 600,000 word corpus comprised of policy statements produced within supranational, national, state and local legislatures about the nature and causes of(un)employment. We identify significant rhetorical and discursive features deployed by third sector (un)employment policy authors that function to extend their legislative grasp to encompass the most intimate aspects of human association.

The meaning of cancer for Australian Aboriginal women : changing the focus of cancer nursing

Aim: The purpose of the study was to explore why Aboriginal women participate in cancer screening programs but appear reluctant to following-up results, or accept medical advice about treatment. Methods: Interpretive ethnography, a qualitative methodology, was used to explore Aboriginal women’s perception of cancer, and the cultural context in which meaning was constructed and influenced treatment decision. Data collection, which occurred over two years, involved fieldwork, participant-observation, face-to-face interviews and focus groups, in two rural Aboriginal communities. Forty eight interviews were recorded from a cross section of the communities, including cancer survivors and patients, family members, health care providers and other women from the community. Results: Key findings were that Aboriginal women’s had a fearful and fatalistic attitude toward cancer, doubted the efficacy of treatment and carried an enduring ambivalence toward the authority of whiteman’s medicine. The women faced a dilemma of wanting access to cancer treatment options but feared entering hospital or clinics not attuned to their cultural needs. Conclusion: The findings highlight the need for a culture-centred approach that decentres the authority of conventional services and instead gives prominence to Aboriginal cultural values as a focal point in cancer control. It should be the responsibility of cancer nurses and others to engage with their local Aboriginal communities to build relationships that foster an exchange of learning about cultural differences that make a difference to how cancer control is practiced.

Advancing the meaning of nursing and technology

Technology and Nursing Practice explains and critically engages with the practice implications of technology for nursing. It takes a broad view of technology, covering not only health informatics, but also 'tele-nursing' and the use of equipment in clinical practice.

The meaning of 'material prejudice'

As dictated by s 213 of the Body Corporate and Community Management Act 1997 (Qld), the seller of a proposed lot is required to provide the buyer with a disclosure statement before the contract is entered into. Where the seller subsequently becomes aware that information contained in the disclosure statement was inaccurate when the contract was entered into or the disclosure statement would not be accurate if now given as a disclosure statement, the seller must, within 14 days, give the buyer a further statement rectifying the inaccuracies in the disclosure statement. Provided the contract has not been settled, where a further statement varies the disclosure statement to such a degree that the buyer would be materially prejudiced if compelled to complete the contract, the buyer may cancel the contract by written notice given to the seller within 14 days, or a longer period as agreed between the parties, after the seller gives the buyer the further statement. The term ‘material prejudice’ was considered by Wilson J in Wilson v Mirvac Queensland Pty Ltd.