Articles

This paper addresses issues related to generat- ing feedback messages to errors related to Ar- abic verbs made by second language learners (SLLs). The proposed approach allows for in- dividualization. When a SLL of Arabic writes a wrong verb, it performs analysis of the input and distinguishes between different lexical …...

In this paper we describe and compare three approaches for the automatic extrac- tion of medical terms using noun phrases (NPs) previously recognized on medical text corpus in Spanish. In the first ap- proach, as baseline, we extracted all NPs, while for the second and third ones the extraction process …...

Recently, Opinion Mining (OM) is receiving more at- tention due to the abundance of forums, blogs, e- commerce web sites, news reports and additional web sources where people tend to express their opinions. There are a number of works about Sentiment Analysis (SA) studying the task of identifying the polarity, …...

In this paper an unsupervised approach to do- main adaptation is presented, which exploits external knowledge sources in order to port a classification model into a new thematic do- main. Our approach extracts a new feature set from documents of the target domain, and tries to align the new features …...

This paper describes a system facilitating information retrieval in a set of textual documents by tackling the automatic ti- tling and subtitling issue. Automatic ti- tling here consists in extracting relevant noun phrases from texts as candidate titles. An original approach combining statisti- cal criteria and noun phrases positions in …...

We introduce an ontology that is represen- tative of health discussions and vocabulary used by the general public. The ontology structure is built upon general categories of information that patients use when de- scribing their health in clinical encoun- ters. The pilot study shows that the general structure makes the …...

The paper describes the method of extraction of two-word domain terms combining their features. The features are computed from three sources: the occurrence statistics in a domain-specific text collection, the statistics of global search engines, and a domain- specific thesaurus. The evaluation of the approach is based on manually created …...

Usually, in the Question Answering do- main, for a question in natural language, precise answers to the question are ex- tracted from documents according only to the context of the question. In this work, we complemented this approach by adding a filtering process on top of the docu- ment retrieval. …...

In this article, we present the on-line interface that we have developed for the RST Spanish Treebank, the first corpus including Spanish texts annotated with rhetorical relations. This interface allows users to consult or download the texts and their corresponding annotations. In addition, it allows carrying out several tasks over …...

The annotation of documents with linguis- tic information requires time-consuming and therefore expensive manual annota- tion. Especially, a complex task, like coreference resolution, needs large data sets for the training of supervised machine learning methods. We present a tool which combines visualization techniques and un- supervised machine learning to support …...

Syntactic analysis is a fundamental phase in NLP (Natural Language Processing) do- main. This phase occurs in several applica- tions and at different levels. Moreover, it wasn’t spilled in domain research, espe- cially for Arabic language. In fact, most of researchers working on Arabic language treated simple structures and neglected …...

This article describes the Romanian lexical resources containing morpholog- ical data and dictionaries: synonyms, Romanian-English, and Romanian- Russian. The inflection process at the creation of morphological resources based on the functional grammar with scattered context is considered. An arbitrary word is in- flected knowing only its part of speech, and …...

Plagiarism has always been a concern in many sectors, particularly in education. With the sharp rise in the number of electronic resources available online, an increasing number of plagiarism cases has been observed in recent years. As the amount of source materials is vast, the use of plagiarism detection tools …...

As clarity in the Crisis Management do- main is crucial, and there exists an enor- mous amount of Crisis Management doc- uments, a specific language resource (the Controlled Language for Crisis Manage- ment, CLCM) for editing Crisis Manage- ment instructions in English has been pre- viously developed. Based on a …...

The area of Subjectivity and sentiment analy- sis (SSA) has been witnessing a flurry of novel research. However, only few attempts have been made to build SSA systems for the health domain. In the current study, we report ef- forts to partially bridge this gap. We present a new labeled …...

In this paper we present an information service system that allows users to search for the key players of requested technol- ogy areas and for their collaboration net- works. This system utilizes information extraction and wrapper technologies for detecting persons, organizations, publica- tions and patents as well as relationships among …...

We examine how the recently explored class of linear transductions relates to finite-state models. Linear transductions have been neglected historically, but gain- ined recent interest in statistical machine translation modeling, due to empirical studies demonstrating that their attractive balance of generative capacity and com- plexity characteristics lead to improved accuracy …...

This paper presents a set of preliminary experiments which show that identifying translationese is possible with machine learning methods that work at character level, more precisely methods that use string kernels. But caution is necessary because string kernels very easily can in- troduce confounding factors. 1...

The identification of different kinds of multiword expressions require different solutions, on the other hand, there might be domain-related differences in their fre- quency and typology. In this paper, we show how our methods developed for identifying noun compounds and light verb constructions can be adapted to dif- ferent domains …...

Breaking away from traditional attempts at coreference resolution from discourse- only inputs, we try to do the same by constructing rich verb semantics from per- ceptual data, viz. a 2-D video. Using a bottom-up dynamic attention model and relative-motion-features between agents in the video, transitive verbs, their argument ordering etc. …...