3,685 research outputs found
Interlingual Lexical Organisation for Multilingual Lexical Databases in NADIA
We propose a lexical organisation for multilingual lexical databases (MLDB).
This organisation is based on acceptions (word-senses). We detail this lexical
organisation and show a mock-up built to experiment with it. We also present
our current work in defining and prototyping a specialised system for the
management of acception-based MLDB. Keywords: multilingual lexical database,
acception, linguistic structure.Comment: 5 pages, Macintosh Postscript, published in COLING-94, pp. 278-28
A Survey of Current Datasets for Vision and Language Research
Integrating vision and language has long been a dream in work on artificial
intelligence (AI). In the past two years, we have witnessed an explosion of
work that brings together vision and language from images to videos and beyond.
The available corpora have played a crucial role in advancing this area of
research. In this paper, we propose a set of quality metrics for evaluating and
analyzing the vision & language datasets and categorize them accordingly. Our
analyses show that the most recent datasets have been using more complex
language and more abstract concepts, however, there are different strengths and
weaknesses in each.Comment: To appear in EMNLP 2015, short proceedings. Dataset analysis and
discussion expanded, including an initial examination into reporting bias for
one of them. F.F. and N.M. contributed equally to this wor
The coupling of action and perception in musical meaning formation
The embodied perspective on music cognition has stressed the central role of the body and body move- ments in musical meaning formation processes. In the present study, we investigate by means of a behavioral experiment how free body movements in response to music (i.e., action) can be linked to specific linguistic, metaphorical descriptions people use to describe the expressive qualities they perceive in the music (i.e., per- ception). We introduce a dimensional model based on the Effort/Shape theory of Laban in order to target musical expressivity from an embodied perspective. Also, we investigate whether a coupling between action and perception is dependent on the musical background of the participants (i.e., trained versus untrained). The results show that the physical appearance of the free body movements that participants perform in response to music are reliably linked to the linguistic descriptions of musical expressiveness in terms of the underlying quality. Moreover, this result is found to be independent of the participants’ musical background
Identification of principal factors of fabric aesthetics by the evaluation from experts on textiles and from untrained consumers
One of the important end-use performance measures of fabrics and other textile products is the handle, which measures the quality of fabrics as evaluated by reactions obtained not only tactilely but also visually. The well-known Kawabata Evaluation System includes both an objective evaluation and a prediction method of the handle. However, objective evaluations of the handle based on a visual perception of fabric aesthetics have not been investigated systematically. Thus, as the first step of a systematic study, we attempted to carry out a sensory evaluation of fabric aesthetics by experts on textile and untrained consumers using worsted and spun silk woven fabrics, which have different material effect and structural effect. Thereafter, the mean preference scores were examined by factor analysis to identify the principal factors of fabric aesthetics. From the result, it was found that two common factors-'luster and depth sensation' and 'surface roughness sensation'-were identified tentatively as the principal factors of fabric aesthetics.ArticleTEXTILE RESEARCH JOURNAL. 81(12):1216-1225 (2011)journal articl
Indexing multilingual information on the web
The web connects people speaking more than twenty languages in more than one hundred countries. Search engines, which provide users starting points to navigate and retrieve resources on the web, should thus be able to handle documents in many languages. Moreover, with information being added and changed every minute on the web, search engines should discover new index terms time-efficiently. This paper introduces an abstraction of viewing multilingual documents and a statistical analysis method so that search engines can index multilingual documents in a generic, efficient, and effective manner with minimal requirements of language-specific information.published_or_final_versio
Learning Word Representations from Relational Graphs
Attributes of words and relations between two words are central to numerous
tasks in Artificial Intelligence such as knowledge representation, similarity
measurement, and analogy detection. Often when two words share one or more
attributes in common, they are connected by some semantic relations. On the
other hand, if there are numerous semantic relations between two words, we can
expect some of the attributes of one of the words to be inherited by the other.
Motivated by this close connection between attributes and relations, given a
relational graph in which words are inter- connected via numerous semantic
relations, we propose a method to learn a latent representation for the
individual words. The proposed method considers not only the co-occurrences of
words as done by existing approaches for word representation learning, but also
the semantic relations in which two words co-occur. To evaluate the accuracy of
the word representations learnt using the proposed method, we use the learnt
word representations to solve semantic word analogy problems. Our experimental
results show that it is possible to learn better word representations by using
semantic semantics between words.Comment: AAAI 201
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