Trajectory-based spatiotemporal entity linking is to match the same moving object in different datasets based on their movement traces. It a fundamental step support data integration and analysis. In this paper, we study problem of using effective concise signatures extracted from trajectories. This formalized as $k$ -neares...

This paper describes an ongoing collaborative project, between Japanese and U.S. universities, that aims to build, analyze and use comparable learner corpora in an attempt to promote discourse-level proficiency in foreign language learning contexts. The focus is placed on discourse coherence created by reference to nominal and clausal entities. The corpus analysis results, within the framework ...

Centering Theory is the best known conceptual framework for theorizing about local coherence and salience; however, its claims are articulated in terms of notions which are only partially specified, such as ‘previous utterance’, ‘realization’, or ‘ranking’, and can be viewed as PARAMETERS of the theory. A great deal of research has been concerned with providing more detailed specifications for ...

Entity Linking (EL) systems’ performance is uneven across corpora or depending on entity types. To help overcome this issue, we propose an EL workflow that combines the outputs of several open source EL systems, and selects annotations via weighted voting. The results are displayed on a UI that allows the users to navigate the corpus and to evaluate annotation quality based on several metrics.

We present AIDA, a framework and online tool for entity detection and disambiguation. Given a natural-language text or a Web table, we map mentions of ambiguous names onto canonical entities like people or places, registered in a knowledge base like DBpedia, Freebase, or YAGO. AIDA is a robust framework centred around collective disambiguation exploiting the prominence of entities, similarity b...

Entity disambiguation with Wikipedia relies on structured information from redirect pages, article text, inter-article links, and categories. We explore whether web links can replace a curated encyclopaedia, obtaining entity prior, name, context, and coherence models from a corpus of web pages with links to Wikipedia. Experiments compare web link models to Wikipedia models on well-known CoNLL a...

Text coherence analysis is the most challenging task in Natural Language Processing (NLP) than other subfields of NLP, such as text generation, translation, or summarization. There are many methods them graph-based entity-based for short documents. However, long documents, existing perform low accuracy results which biggest challenge both English and Bengali. This because do not consider misspe...

In this paper we investigate the applicability of Barzilay and Lapata’s (2008) entity-grid model in the evaluation of coherence in scientific abstracts written in Portuguese. More specifically, we focused on assessing whether such model could be employed in the implementation of a classifier capable of detecting linearity breaks that affect coherence. Our experimental results are close to those...