Abstract: How do we process complex sentences like the dog the man walks barks? How are hierarchical grammars actually learned? And what is actually learned? Syntactical rule knowledge or the skill to use the hierarchical system for communicating meaning? Three Artificial Grammar Learning experiments investigated this question. The first experiment tested learning after exposure to exemplars of...

In this paper, we propose a fully automatic system for acquisition of hypernym/hyponymy relations from large corpus in Turkish Language. The method relies on both lexico-syntactic pattern and semantic similarity. Once the model has extracted the seeds by using patterns, it applies similarity based expansion in order to increase recall. For the expansion, several scoring functions within a boots...

The dual-route model of speech processing includes a dorsal stream that maps auditory to motor features at the sublexical level rather than at the lexico-semantic level. However, the literature on gesture is an invitation to revise this model because it suggests that the premotor cortex of the dorsal route is a major site of lexico-semantic interaction. Here we investigated lexico-semantic mapp...

Due to the large amount of available patent data, it is no longer feasible for industry actors to manually create their own terminology lists and ontologies. Furthermore, domain specific thesauruses are rarely accessible to the research community. In this paper we present extraction of hyponymy lexical relations conducted on patent text using lexico-syntactic patterns. We explore the lexico-syn...

The present study examines the brain-level representation and composition of meaning in scalar quantifiers (e.g., some), which have both a semantic meaning (at least one) and a pragmatic meaning (not all). We adopted a picture-sentence verification design to examine event-related potential (ERP) effects of reading infelicitous quantifiers for which the semantic meaning was correct with respect ...

Lexico-semantic collocations (LSCs) are a prominent type of multiword expressions. Over the last decade, the automatic compilation of LSCs from text corpora has been addressed in a significant number of works. However, very often, the output of an LSC-extraction program is a plain list of LSCs. Being useful as raw material for dictionary construction, plain lists of LSCs are of a rather limited...

Résumé : Collecter, lire, interpréter et annoter une grande masse de données textuelles n’est pas chose facile depuis le développement des nouvelles technologies dont Internet qui propose pléthore d’informations. Ces tâches sont d’autant plus fastidieuses à mener dans le domaine de la biologie où les intervenants doivent constamment être informés des nouveautés mais aussi réaliser des expérienc...

Previous studies on causality estimation mainly aquire causal event pairs from a large corpus based on lexico-syntactic patterns and coreference relations, and estimate causality by a statistical method. However, most of the previous studies assume event pairs can be represented by a pair of single words, therefore they cannot estimate multiword causality correctly (e.g.“tired”-“give up”) . In ...

In this paper we describe VERBCROCEAN, a broad-coverage repository of fine-grained semantic relations between Croatian verbs. Adopting the methodology of Chklovski and Pantel (2004) used for acquiring the English VerbOcean, we first acquire semantically related verb pairs from a web corpus hrWaC by relying on distributional similarity of subject-verb-object paths in the dependency trees. We the...