Information Access in a Multilingual World: Transitioning from Research to Real-World Applications

Multilingual Information Access (MLIA) is at a turning point wherein substantial real-world applications are being introduced after fifteen years of research into cross-language information retrieval, question answering, statistical machine translation and named entity recognition. Previous workshops on this topic have focused on research and small- scale applications. The focus of this workshop was on technology transfer from research to applications and on what future research needs to be done which facilitates MLIA in an increasingly connected multilingual world

Classification of research papers using citation links and citation types: Towards automatic review article generation.

We are investigating automatic generation of a review (or survey) article in a specific subject domain. In a research paper, there are passages where the author describes the essence of a cited paper and the differences between the current paper and the cited paper (we call them citing areas). These passages can be considered as a kind of summary of the cited paper from the current author's viewpoint. We can know the state of the art in a specific subject domain from the collection of citing areas. FUrther, if these citing areas are properly classified and organized, they can act 8.', a kind of a review article. In our previous research, we proposed the automatic extraction of citing areas. Then, with the information in the citing areas, we automatically identified the types of citation relationships that indicate the reasons for citation (we call them citation types). Citation types offer a useful clue for organizing citing areas. In addition, to support writing a review article, it is necessary to take account of the contents of the papers together with the citation links and citation types. In this paper, we propose several methods for classifying papers automatically. We found that our proposed methods BCCT-C, the bibliographic coupling considering only type C citations, which pointed out the problems or gaps in related works, are more effective than others. We also implemented a prototype system to support writing a review article, which is based on our proposed method

Towards Humane Feedback Mechanisms in Exploratory Search

Machine learning (ML) plays a central role in modern information retrieval (IR) systems. We argue that, in IR systems for multi-session exploratory search, there are unexploited opportunities for IR document ranking models to leverage users’ knowledge about the search task to better support users’ search needs. Specifically, we propose a method to enable users to adapt an IR document ranking model according to their information needs, using an interface that supports search strategies and methods for engaging with documents known to be useful when people explore new or complex domains of knowledge. We also discuss the major challenges in creating human-centered machine learning models and interfaces for exploratory search

Search as learning (SAL) workshop 2016

The "Search as Learning" (SAL) workshop is focused on an area within the information retrieval fi

Overview of CLEF QA Entrance Exams Task 2015

Abstract. This paper describes the Entrance Exams task at the CLEF QA Track 2015. Following the last two editions, the data set has been extracted from actual university entrance examinations including a variety of topics and question types. Systems receive a set of Multiple-Choice Reading Comprehension tests where the task is to select the correct answer among a finite set of candidates, according to the given text. Questions are designed originally for testing human examinees, rather than evaluating computer systems. Therefore, the data set challenges human ability to show their understanding of texts. Thus, questions and answers are lexically distant from their supporting excerpts in text, requiring not only a high degree of textual inference, but also the development of strategies for selecting the correct answer