Categories are not invariant. This paper attempts to explore the dynamic nature of semantic category, in particular, that of fashion language, based on the cognitive theory of Dawkins’ memetics, a new theory of cultural evolution. Semantic attributes of linguistic memes decrease or proliferate in replication and spreading, which involves a dynamic development of semantic category. More specific...

Semantic change and concept drift are studied in many different academic fields. Different domains have different understandings of what a concept and, thus, concept drift is making it harder for researchers to build upon work in other disciplines. In this paper, we aim to address this challenge and propose definitions for these phenomena which apply across fields. We provide formal definitions...

Abduction was first introduced in the epistemological context of scientific discovery. It was more recently analyzed in Artificial Intelligence, especially with respect to diagnosis analysis or ordinary reasoning. These two fields share a common view of abduction as a general process of hypotheses formation. More precisely, abduction is conceived as a kind of reverse explanation where a hypothe...

This paper presents a new approach to mapping student contributions to curriculum guidelines through the use of Latent Semantic Analysis and information visualization techniques. A new information visualization technique – differential term clouds – is introduced as a means to make clear changes in semantic fields over time.

This paper describes the system presented by the LABDA group at SemEval 2017 Task 10 ScienceIE, specifically for the subtasks of identification and classification of keyphrases from scientific articles. For the task of identification, we use the BANNER tool, a named entity recognition system, which is based on conditional random fields (CRF) and has obtained successful results in the biomedical...

This paper addresses the problem of detecting coherent motions in crowd scenes and subsequently constructing semantic regions for activity recognition. We first introduce a coarse-to-fine thermal-diffusionbased approach. It processes input motion fields (e.g., optical flow fields) and produces a coherent motion filed, named as thermal energy field. The thermal energy field is able to capture bo...