Articles

Transducers namely transducer cascades are used in several NLP-applications such as Ara- bic named entity recognition (ANER). To ex- periment and evaluate an ANER process, a weight coverage corpus is necessary. In this pa- per, we propose an ANER method based on transducer cascade. The proposed transducer cascade is generated …...

In this paper we present our approach to automatically identify the subjectivity, po- larity and irony of Italian Tweets. Our system which reaches and outperforms the state of the art in Italian is well adapted for different domains since it uses abstract word features instead of bag of words. We …...

This paper presents a statistical model for measuring structural similarity between webpages from bilingual websites. Start- ing from basic assumptions we derive the model and propose an algorithm to esti- mate its parameters in unsupervised man- ner. Statistical approach appears to bene- fit the structural similarity measure: in the task …...

The automatic development of termino- logical databases, especially in a standard- ized format, has a crucial aspect for mul- tiple applications related to technical and scientific knowledge that requires seman- tic and terminological descriptions cover- ing multiple domains. In this context, we have, in this paper, two challenges: the first …...

The vast information related to products and services available online, of both ob- jective and subjective nature, can be used to provide contextualized suggestions and guidance to possible new customers. User feedback and comments left on differ- ent shopping websites, portals and social media have become a valuable resource, and …...

Part-of-Speech (POS) tagging is a key step in many NLP algorithms. However, tweets are difficult to POS tag because there are many phenomena that frequently appear in Twitter that are not as common, or are en- tirely absent, in other domains: tweets are short, are not always written maintaining formal …...

Community Question Answering websites (CQA) have a growing popularity as a way of providing and searching of information. CQA attract users as they provide a direct and rapid way to find the desired informa- tion. As recognizing good questions can improve the CQA services and the user’s experience, the current …...

The Federal Open Market Committee (FOMC) is a committee within the central banking system of the US and decides on the target rate. Analyzing the positions of its members is a challenge even for experts with a deep knowledge of the financial do- main. In our work, we aim at …...

We address the task of parsing semanti- cally indeterminate expressions, for which several correct structures exist that do not lead to differences in meaning. We present a novel non-deterministic structure trans- fer method that accumulates all structural information based on cross-lingual word distance derived from parallel corpora. Our system’s output …...

The rise in Arabic usage within various social media platforms, and notably in Twitter, has led to a growing interest in building Arabic Natural Language Processing (NLP) applica- tions capable of dealing with informal collo- quial Arabic, as it is the most commonly used form of Arabic in social media. …...

The applications of plWordNet, a very large wordnet for Polish, do not yet in- clude work on sentiment and emotions. We present a pilot project to annotate plWordNet manually with sentiment po- larity values and basic emotion values. We work with lexical units, plWordNet’s ba- sic building blocks.1 So far, …...

One aspect of ontology learning methods is the discovery of relations in textual data. One kind of such relations are causal re- lations. Our aim is to discover causations described in texts such as recipes and man- uals. There is a lot of research on causal relations discovery that is …...

Community question answering sites pro- vide us convenient and interactive plat- forms for problem solving and knowl- edge sharing, which are attracting an in- creasing number of users. Accordingly, it will be very common that different people have the same user name. When a query question is given, some potential …...

This paper presents our investigation of the ability of 33 readability indices to ac- count for the reading comprehension dif- ficulty posed by texts for people with autism. The evaluation by autistic read- ers of 16 text passages is described, a pro- cess which led to the production of the …...

We present a case study on the role of syn- tactic structures towards resolving the Se- mantic Textual Similarity (STS) task. Al- though various approaches have been pro- posed, the research of using syntactic in- formation to determine the semantic simi- larity is a relatively under-researched area. At the level …...

There is a great deal of knowledge avail- able on the Web, which represents a great opportunity for automatic, intelligent text processing and understanding, but the ma- jor problems are finding the legitimate sources of information and the fact that search engines provide page statistics not occurrences. This paper presents …...

In the current era of online interactions, both positive and negative experiences are abundant on the Web. As in real life, neg- ative experiences can have a serious im- pact on youngsters. Recent studies have reported cybervictimization rates among teenagers that vary between 20% and 40%. In this paper, we …...

Clustering words is a widely used technique in statistical natural language processing. It re- quires syntactic, semantic, and contextual fea- tures. Especially, semantic clustering is gain- ing a lot of interest. It consists in grouping a set of words expressing the same idea or shar- ing the same semantic properties. …...

Our goal is to facilitate named en- tity recognition in Bulgarian texts by extending the coverage of DBpedia (http://www.dbpedia.org/) for Bul- garian. For this task we have trained translation Moses models to transliter- ate foreign names to Bulgarian. The training sets were obtained by extract- ing the names of all …...

Typically, only a very limited amount of in-domain data is available for training the language model component of an Hand- written Text Recognition (HTR) system for historical data. One has to rely on a combination of in-domain and out-of- domain data to develop language models. Accordingly, domain adaptation is a …...