The authors investigated semantic neighborhood density effects on visual word processing to examine the dynamics of activation and competition among semantic representations. Experiment 1 validated feature-based semantic representations as a basis for computing semantic neighborhood density and suggested that near and distant neighbors have opposite effects on word processing. Experiment 2 conf...

Many apps are designed to solve a problem or accomplish task, such as managing health condition, creating to-do-list, finding work. The solutions that app developers offer reflects how they believe users and other stakeholders understand the problem. Each individual developer may have different ideas but analyzing many together can reveal average typical ways in set think about problems their s...

A distinguishing feature of many multiword expressions (MWEs) is their semantic non-compositionality. Determining the semantic compositionality of MWEs is important for many natural language processing tasks. We address the task of modeling semantic compositionality of Croatian MWEs. We adopt a composition-based approach within the distributional semantics framework. We build and evaluate model...

This paper addresses the problem of semantic relation identification for a set of relations difficult to differentiate: near-misses and overlaps. Based on empirical observations on a fairly large dataset of such examples we provide an analysis and a taxonomy of such cases. Using this taxonomy we create various contingency sets of relations. These semantic categories are automatically identified...

This paper is concerned with the search for an optimal feature-set for a speech recognition system. A better acoustic feature analysis that suitably enhances the semantic information in a consistent fashion can reduce raw-score (no grammar) error rate sig-niicantly. A simple two-dimensional parameterized feature set is proposed. The feature-set is compared against a standard mel-cepstrum, LPC-b...

This article concerns the general functional features of an adjective in modern English, and in particular multistate lexical item “just”, which carries different meanings in different variants of combinatorics. The authors analyze the combinations used with the adjectival lexeme item “just” and reveal the categories that determine the degree of semantic content of each given statement. The nee...

This study investigated the effect of using visual aids, semantic elaboration, and visual aids plus semantic elaboration on the Iranian EFL learners' vocabulary learning. To conduct the study, the researchers assigned 49 elementary learners to three homogeneous groups according to their proficiency level. Then, a pre-test of Paribakht and Wesche's Vocabulary Knowledge Scale was given to each gr...

This paper presents the RaGoÛt system developed in response to the ECCBR’08 Computer Cooking Contest call. It proposes a case authoring approach that combines domain-specific and independent knowledge sources to create a feature vector representation of recipes. Case retrieval uses semantic similarity knowledge acquired from WordNet. This is combined with exact matching to enforce adaptation-aw...

Semantic knowledge detection of multimedia content has become a very popular research topic in recent years. The association rule mining (ARM) technique has been shown to be an efficient and accurate approach for content-based multimedia retrieval and semantic concept detection in many applications. To further improve the performance of traditional association rule mining technique, a video sem...

We introduce a new approach to unsupervised estimation of feature-rich semantic role labeling models. Our model consists of two components: (1) an encoding component: a semantic role labeling model which predicts roles given a rich set of syntactic and lexical features; (2) a reconstruction component: a tensor factorization model which relies on roles to predict argument fillers. When the compo...