Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word boundaries that are both idiosyncratic and pervasive across different languages. The structure of linguistic processing that depends on the clear distinction between words and phrases has to be re-thought to accommodate MWEs. The issue of MWE handling is crucial for NLP applications, where it raises a number...

To meet the demand of online collaborative design, a Web-based Collaborative Working Environment (CWE) has been developed. An approach to enhance sustainable furniture design by utilizing the CWE is proposed. In this paper, the CWE framework is briefly presented, which consists of upperware, middleware and resource layers; then three key aspects of sustainable furniture design by utilizing the ...

Extraction and validation of multiword expressions (MWEs) thanks to association measures is a very common method. Researchers use it for extraction of MWEs of different lengths or different syntactic structures. However, we never wonder if the association measures collected on an MWE with one particular structure (e.g. Verb-Preposition) is relevant for collecting an MWE with a different one (e....

Recommendation plays an increasingly important role in our daily lives. Recommender systems automatically suggest to a user items that might be of interest to her. Recent studies demonstrate that information from social networks can be exploited to improve accuracy of recommendations. In this paper, we present a survey of Collaborative Filtering(CF) based social recommender systems. We provide ...

Most word embedding methods take a word as a basic unit and learn embeddings according to words’ external contexts, ignoring the internal structures of words. However, in some languages such as Chinese, a word is usually composed of several characters and contains rich internal information. The semantic meaning of a word is also related to the meanings of its composing characters. Hence, we tak...

We introduce a time-frequency representation of linear signal spaces which we call the Wigner distribution (WO) ofa linear signal space. Similar to the WD of a signal, the WD of a linear signal space describes the space’s energy distribution over the time-frequency plane. The WD of a signal space can be defined both in a deterministic and in a stochastic framework, and it can be expressed in a ...

In this paper we present an implicit dictionary with the working set property i.e. a dictionary supporting insert(e), delete(x) and predecessor(x) in O(logn) time and search(x) in O(log `) time, where n is the number of elements stored in the dictionary and ` is the number of distinct elements searched for since the element with key x was last searched for. The dictionary stores the elements in...

We study the task of automatically disambiguating word combinations such as jump the gun which are ambiguous between a literal and MWE interpretation, focusing on the utility of type-level features from an MWE lexicon for the disambiguation task. To this end we combine gold-standard idiomaticity of tokens in the OpenMWE corpus with MWE-type-level information drawn from the recently-published JD...

Multi Sentence Compression (MSC) is of great value to many real world applications, such as guided microblog summarization, opinion summarization and newswire summarization. Recently, word graph-based approaches have been proposed and become popular in MSC. Their key assumption is that redundancy among a set of related sentences provides a reliable way to generate informative and grammatical se...

Remote detection of body-worn concealed weapons or explosives (CWE) is a field of ongoing research in order to provide security against terrorist attacks that can potentially cause a threat to the security of the society. So far there is a gap on detection systems able to function at extended stand-off distances and which operate robustly under harsh environmental conditions. In this Thesis the...