MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach

Entity linking has recently been the subject of a significant body of research. Currently, the best performing approaches rely on trained mono-lingual models. Porting these approaches to other languages is consequently a difficult endeavor as it requires corresponding training data and retraining of the models. We address this drawback by presenting a novel multilingual, knowledge-based agnostic and deterministic approach to entity linking, dubbed MAG. MAG is based on a combination of context-based retrieval on structured knowledge bases and graph algorithms. We evaluate MAG on 23 data sets and in 7 languages. Our results show that the best approach trained on English datasets (PBOH) achieves a micro F-measure that is up to 4 times worse on datasets in other languages. MAG, on the other hand, achieves state-of-the-art performance on English datasets and reaches a micro F-measure that is up to 0.6 higher than that of PBOH on non-English languages.Comment: Accepted in K-CAP 2017: Knowledge Capture Conferenc

Multiliteracies, Pedagogy and Identities:Teacher and Student Voices from a Toronto Elementary School

In this article, I draw on an ethnographic case study of one Toronto elementary school, as part of a Canada‐wide action research project: Multiliteracy Project (www.multiliteracies.ca). I have explored how Perminder, a grade‐4 teacher, devel‐ oped a multiliteracies pedagogy, drawing on her own and her students’ identities and linguistic and cultural forms of capital to create learning opportunities for all students to access the English mainstream curriculum. Alternative pedagogical choices in‐ cluded students’ creation of multimodal dual language “identity texts” (Cummins, Bismilla, Cohen, Giampapa, & Leoni, 2005a), and identity work, expanding literacy practices valued within Canadian classrooms. Key words: critical pedagogies, critical literacies, ESL/EAL, identities, Multilit‐ eracy Project, urban schools Dans cet article, l’auteure part d’une étude de cas ethnographique portant sur une école primaire de Toronto, étude réalisée dans le cadre d’un projet de recherche‐ action pancanadien, The Multiliteracy Project (www.multiliteracies.ca). Elle analyse comment Perminder, une enseignante de 4e année, a mis au point une pédagogie en matière de multilitératies. Puisant dans sa propre identité et dans celles de ses élèves ainsi que dans diverses formes de capital linguistiques et culturelles, elle offre à tous ses élèves la possibilité d’apprendre et ainsi d’avoir accès au curriculum standard en anglais. Parmi les choix pédagogiques novateurs figuraient la création par les élèves de « textes identitaires » (Cummins et coll. 2005a) multimodaux en deux langues et des travaux portant sur l’identité, élargissant ainsi les pratiques en matière de littéra‐ tie jugées utiles dans les classes canadiennes. Mots clés : pédagogies critiques, littératies critiques, ESL/EAL, identités, The Multiliteracy Project, écoles urbaines.

A Word Sense-Oriented User Interface for Interactive Multilingual Text Retrieval

In this paper we present an interface for supporting a user in an interactive cross-language search process using semantic classes. In order to enable users to access multilingual information, different problems have to be solved: disambiguating and translating the query words, as well as categorizing and presenting the results appropriately. Therefore, we first give a brief introduction to word sense disambiguation, cross-language text retrieval and document categorization and finally describe recent achievements of our research towards an interactive multilingual retrieval system. We focus especially on the problem of browsing and navigation of the different word senses in one source and possibly several target languages. In the last part of the paper, we discuss the developed user interface and its functionalities in more detail

Natural language processing

Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language interfaces; (iii) NLP in the context of www and digital libraries ; and (iv) evaluation of NLP systems

Multilingual adaptive search for digital libraries

This paper describes a framework for Adaptive Multilingual Information Retrieval (AMIR) which allows multilingual resource discovery and delivery using on-the-fly machine translation of documents and queries. Result documents are presented to the user in a contextualised manner. Challenges and affordances of both Adaptive and Multilingual IR, with a particular focus on Digital Libraries, are detailed. The framework components are motivated by a series of results from experiments on query logs and documents from The European Library. We conclude that factoring adaptivity and multilinguality aspects into the search process can enhance the user’s experience with online Digital Libraries