This paper describes work in progress to use clustering to create a lexicon of words that engage in the lexico-semantic relationship known as grading. While other resources like thesauri and taxonomies exist detailing relationships such as synonymy, antonymy, and hyponymy, we do not know of any thorough resource for grading. This work focuses on identifying the words that may participate in thi...

The paper presents an overview of an attempt at the semantic classification of adjectives in the Bulgarian Wordnet based on the information that is already available in WordNet, and other classifications proposed in the literature (classifications in the linguistic literature for Bulgarian and approaches implemented by other wordnets, more precisely, the Wordnet for German). The proposed approa...

Conceiving grammaticality as gradient poses problems for those traditional conceptions of grammar which assume that linguistic expressions can only be either grammatical or ungrammatical. That a sentence is, for instance, “grammatical to 75%” is a nonsensical statement from this point of view. In this tradition, generative grammar assumes the native speaker’s linguistic competence to be the sys...

Tree-to-string systems (and their forestbased extensions) have gained steady popularity thanks to their simplicity and efficiency, but there is a major limitation: they are unable to guarantee the grammaticality of the output, which is explicitly modeled in string-to-tree systems via targetside syntax. We thus propose to combine the advantages of both, and present a novel constituency-to-depend...

We investigated interactions between morphological complexity and grammaticality on electrophysiological markers of grammatical processing during reading. Our goal was to determine whether morphological complexity and stimulus grammaticality have independent or additive effects on the P600 event-related potential component. Participants read sentences that were either well-formed or grammatical...

Although the observation of grammaticality judgements is well acknowledged, their formal representation faces problems of different kinds: linguistic, psycholinguistic, logical, computational. In this paper we focus on addressing some of the logical and computational aspects, relegating the linguistic and psycholinguistic ones in the parameter space. We introduce a model-theoretic interpretatio...

Relationship acquisition has always contributed as an important enhancement to Natural Language Processing. Using “definition extraction” methods proved to be a very useful approach, not only for relationship extraction but also for enhancing the limited coverage of words in WordNet. It also played a major role in developing question answer systems and ontology learning for unrestricted data. V...

This study examined the case of a brain-damaged patient, I.R., who exhibits the pattern of performance typical of persons with a selective short-term memory deficit. Part 1 reveals a dissociation in performance between impaired shortterm memory and preserved long-term memory. Part 2 examines an alternative explanation of I.R. s performance under a processing view of memory that rejects the noti...

Studies in linguistics define lexico-syntactic patterns to characterize the linguistic utterances that can be interpreted with semantic relations. Because patterns are assumed to reflect linguistic regularities that have a stable interpretation, several software implement such patterns to extract semantic relations from text. Nevertheless, a thorough analysis of pattern occurrences in various c...

In this paper, we propose a formal representation of the meaning of sentences involving conceptual metaphors in the context of the research line of Computing with Words and Perceptions. Conceptual metaphors are mappings between conceptual domains that are common in everyday natural language usage. They are not just a matter of lexico-grammar stratum but of representation and processing in the s...