Appropriate use of near-synonyms in English often poses difficulty for learners. This study aims to compare and contrast the predict foresee , focusing on genres, collocations, colligations, semantic prosody which specifically characterize each synonymous verb. The consulted Corpus Contemporary American (COCA), i.e. largest corpus representing (Davies, 2020), distribution target synonyms across...

A new approach for constructing pseudo-keywords, referred to as Sense Units, is proposed. Sense Units are obtained by a word clustering process, where the underlying similarity reflects both statistical and semantic properties, respectively detected through Latent Semantic Analysis and WordNet. Sense Units are used to recode documents and are evaluated from the performance increase they permit ...

To further reduce the cost of semi-supervised domain adaptation (SSDA) labeling, a more effective way is to use active learning (AL) annotate selected subset with specific properties. However, tasks are always addressed in two interactive aspects: transfer and enhancement discrimination, which requires data be both uncertain under model diverse feature space. Contrary classification tasks, it u...

Semantic technologies have proven their relevance in facilitating the interpretation of Earth Observation (EO) data through formats such as RDF and reusable models, especially for representation space time. While rasters are usual format results image processing algorithms, a recurrent problem is transferring pixel values these into features that make sense areas interest on Earth, thus content...

In this paper we look at the interpretation of Quantifier Phrases from the perspective of Symmetric Categorial Grammar. We show how the apparent mismatch between the syntactic and semantic behaviour of these expressions can be resolved in a typelogical system equipped with two Merge relations: one for syntactic units, and one for the evaluation contexts of the semantic values associated with th...

SemFrame generates FrameNet-like frames, complete with semantic roles and evoking lexical units. This output can enhance FrameNet by suggesting new frames, as well as additional lexical units that evoke existing frames. SemFrame output can also support the addition of frame semantic relationships to WordNet.

This work proposes a semantic data model for video documents based on the story-line structure powerful enough to express various human interpretations of video documents, and introduces a formal query language for video retrieval that facilitates retrieval of users' heterogeneous queries based on the proposed model. The paper identifies the elementary semantic units, composite semantic units, ...

In spoken language systems, the segmentation of utterances into coherent linguistic/semantic units is required when modules following the speech recognizer can only process such units one at a time. In this paper, techniques for semantic boundary prediction, based on both acoustic and lexical knowledge, are presented and tested on a corpus of personto-person dialogues. Best result gives 62.8% r...