This article describes work towards the automatic creation of a conceptual polarity lexicon for Portuguese. For this purpose, we take advantage of a polarity lexicon based on single lemmas to assign polarities to the synsets of a wordnet-like resource. We assume that each synset has the polarity of the majority of its lemmas, given by the initial lexicon. After that, polarity is propagated to o...

This paper presents a new perception based model for reading cursive script. We describe the organization of our pseudo-neuronal system and show the role of activation mechanism in perceiving and reading cursive script. We have introduced into our model some characteristics speciic to cursive script. First, we use more appropriate features such as ascenders and descenders. Second, we deal with ...

Crosslingual document classification aims to classify documents written in different languages that share a common genre, topic or author. Knowledge-based methods and others based on machine translation deliver state-of-the-art classification accuracy, however because of their reliance on external resources, poorly resourced languages present a challenge for these type of methods. In this paper...

This paper describes a document retrieval system called CAIRN that uses a case-based reasoning set using a large lexicon to automatically generate a case index to that document set. The index is used by a case-based retrieval engine to find documents. The retrieval engine is tolerant of noisy natural language queries. CAIRN also supports failure-driven learning of important concepts during its ...

The main objective of this paper is to introduce an alternation-based model of valency lexicon of Czech verbs VALLEX. Alternations describe regular changes in valency structure of verbs – they are seen as transformations taking one lexical unit and return a modified lexical unit as a result. We characterize and exemplify ‘syntactically-based’ and ‘semantically-based’ alternations and their effe...

Parsing Chinese critically depends on correct word segmentation for the parser since incorrect segmentation inevitably causes incorrect parses. We investigate a pipeline approach to segmentation and parsing using word lattices as parser input. We compare CRF-based and lexicon-based approaches to word segmentation. Our results show that the lattice parser is capable of selecting the correction s...

Automated lexicon acquisition from corpora represents one way that large datasets can be leveraged to provide resources for a variety of NLP tasks. Our work applies techniques popularized in sentiment lexicon acquisition and topic modeling to the broader task of creating a stylistic lexicon. A novel aspect of our approach is a focus on multiple related styles, first extracting initial independe...

In this paper, we present a combined approach that automatically extracts opinions from Arabic documents. Most research efforts in the area of opinion mining deal with English texts and little work with Arabic text. Unlike English, from our experiments, we found that using only one method on Arabic opinioned documents produce a poor performance. So, we used a combined approach that consists of ...