Articles

Text mining for global health surveillance is an emerging technology that is gaining increased attention from public health or- ganisations and governments. The lack of multilingual resources such as Word- Nets specifically targeted at this task have so far been a major bottleneck. This pa- per reports on a major …...

Coreference resolution is a classic NLP problem and has been studied extensively by many researchers. Most existing studies, however, are generic in the sense that they are not focused on any specific text. In the past few years, opinion mining became a popular topic of research because of a wide …...

In this paper, we propose an unsupervised approach to automatically synthesize Wikipedia articles in multiple languages. Taking an existing high-quality version of any entry as content guideline, we extract keywords from it and use the translated keywords to query the monolingual web of the target language. Candidate excerpts or sentences …...

It has been known that a combination of multiple kernels and addition of various resources are the best options for im- proving effectiveness of kernel-based PPI extraction methods. These supple- ments, however, involve extensive ker- nel adaptation and feature selection processes, which attenuate the original benefits of the kernel methods. …...

Event Anaphora Resolution is an important task for cascaded event template extraction and other NLP study. In this paper, we provide a first systematic study of resolving pronouns to their event verb antecedents for general purpose. First, we explore various positional, lexical and syntactic features useful for the event pronoun …...

AbstractThis paper reports on the syntactic annotation of a previously compiled and tagged corpus of European Portuguese (EP) dialects ― The Syntax-oriented Corpus of Portuguese Dialects (CORDIAL-SIN). The parsed version of CORDIAL-SIN is intended to be a more efficient resource for the purpose of studying dialect syntax by allowing automated …...

AbstractMost of the research on the extraction of idiomatic multiword expressions (MWEs) focused on the acquisition of MWE types. In the present work we investigate whether a text instance of a potentially idiomatic MWE is actually used idiomatically in a given context or not. Inspired by the dataset provided by …...

AbstractOne of the essential factors in community sites is anonymous submission. This is because anonymity gives users chances to submit messages (questions, problems, answers, opinions, etc.) without regard to shame and reputation. However, some users abuse the anonymity and disrupt communications in a community site. These users and their submissions …...

AbstractAutomatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem can be addressed by using machine learning algorithms to generate a function that find mappings between natural language and programming language semantics. For this purpose suitable annotated and …...

AbstractDuring the last decades, interdisciplinarity has become a central keyword in research. As a consequence, many concepts, theories and scientific methods get in contact with each other, resulting in many different strategies and variants of acquiring, structuring, and sharing data sets. To handle these kind of data sets, his paper …...

AbstractResearch on automatic humor recognition has developed several features which discriminate funny text from ordinary text. The features have been demonstrated to work well when classifying the funniness of single sentences up to entire blogs. In this paper we focus on evaluating a set of the best humor features reported …...

AbstractThe paper explores the co-reference chains as a way for improving the density of concept annotation over domain texts. The idea extends authors’ previous work on relating the ontology to the text terms in two domains ― IT and textile. Here IT domain is used. The challenge is to enhance …...

AbstractIn this work, automatic recognition of Arabic dialects is proposed. An acoustic survey of the proportion of vocalic intervals and the standard deviation of consonantal intervals in nine dialects (Tunisia, Morocco, Algeria, Egypt, Syria, Lebanon, Yemen, Golf’s Countries and Iraq) is performed using the platform Alize and Gaussian Mixture Models …...

AbstractIn this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on genetic algorithm (GA) to solve this problem. Our underlying assumption is that rather than searching for the best feature set for a particular classifier, …...

AbstractWeb services are increasingly being used in the natural language processing community as a way to increase the interoperability amongst language resources. This paper extends our previous work on integrating two different platforms, i.e. Heart of Gold and Language Grid. The Language Grid is an infrastructure built on top of …...

AbstractIn this paper we report the first results of an annotation exercise of argument coercion phenomena performed on Italian texts. Our corpus consists of ca 4000 sentences from the PAROLE sottoinsieme corpus (Bindi et al. 2000) annotated with Selection and Coercion relations among verb-noun pairs formatted in XML according to …...

AbstractThis paper describes an open source voice creation toolkit that supports the creation of unit selection and HMM-based voices, for the MARY (Modular Architecture for Research on speech Synthesis) TTS platform. We aim to provide the tools and generic reusable run-time system modules so that people interested in supporting a …...

AbstractIn the last decade, the Dutch Language Union has taken a serious interest in digital language resources and human language technologies (HLT), because they are crucial for a language to be able to survive in the information society. In this paper we report on the current state of the joint …...

AbstractIn this paper, we report on our attempt at assigning semantic information from the English FrameNet to lexical units in the Bulgarian valency lexicon. The paper briefly presents the model underlying the Bulgarian FrameNet (BulFrameNet): each lexical entry consists of a lexical unit; a semantic frame from the English FrameNet, …...

AbstractWe present a study that compares data-driven dependency parsers obtained by means of annotation projection between language pairs of varying structural similarity. We show how the partial dependency trees projected from English to Dutch, Italian and German can be exploited to train parsers for the target languages. We evaluate the …...