A high-performance FAQ retrieval method using minimal differentiator expressions

Moreo, Alejandro; Navarro, María G.; Castro, Juan Luis; Zurita, J. M.

doi:10.1016/j.knosys.2012.05.015

Cited by 14 publications

(5 citation statements)

References 41 publications

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“…( 2017 ) proposed a generic chatbot for university students that is able to answer frequently asked questions. The University of Granada deployed Elvira, a chatbot embedded in its main web page Moreo et al ( 2012 ) to perform the same task. In addition to being able to answer pre-established frequent questions, it did so from the website of the University of Granada using an inset persona, voiced by a real person, who lip-synced the answers.…”

Section: State Of the Artmentioning

confidence: 99%

Chatbots and messaging platforms in the classroom: An analysis from the teacher’s perspective

et al. 2023

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Messaging platforms are applications, generally mediated by an app, desktop program or the web, mainly used for synchronous communication among users. As such, they have been widely adopted officially by higher education establishments, after little or no study of their impact and perception by the teachers. We think that the introduction of these new tools and the opportunities and challenges they have needs to be studied carefully in order to adopt the model, as well as the tool, that is the most adequate for all parties involved. We already studied the perception of these tools by students, in this paper we examine the teachers’ experiences and perceptions through a survey that we validated with peers, and what they think these tools should make or serve so that it enhances students learning and helps them achieve their learning objectives. The survey has been distributed among tertiary education teachers, both in universitary and other kind of tertiary establishments, based in Spain (mainly) and Spanish-speaking countries. We have focused on collecting teachers’ preferences and opinions on the introduction of messaging platforms in their day-to-day work, as well as other services attached to them, such as chatbots. What we intend with this survey is to understand their needs and to gather information about the various educational use cases where these tools could be valuable. In addition, an analysis of how and when teachers’ opinions towards the use of these tools varies across gender, experience, and their discipline of specialization is presented. The key findings of this study highlight the factors that can contribute to the advancement of the adoption of messaging platforms and chatbots in higher education institutions to achieve the desired learning outcomes.

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Section: State Of the Artmentioning

confidence: 99%

Chatbots and messaging platforms in the classroom: An analysis from the teacher’s perspective

et al. 2023

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“…LISA [Dibitonto et al, 2018] and Differ [Studente et al, 2020] facilitate breaking the ice between new students by introducing them to each other. Ranoliya et al [Ranoliya et al, 2017] proposed a generic chatbot for university students that is able to answer to their frequently asked questions and, for some time, the University of Granada had Elvira as a chatbot in its main web page [Moreo et al, 2012] to perform that duty. Besides being able to answer pre-established (frequent) questions, it did so from the website of the University of Granada using an inset persona, voiced by a real person, who lip-synced the answers.…”

Section: State Of the Artmentioning

confidence: 99%

Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective

J.¹,

Castillo²,

Mora³

et al. 2022

Preprint

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Introducing new technologies such as messaging platforms, and the chatbots attached to them, in higher education, is rapidly growing. This introduction entails a careful consideration of the potential opportunities and/or challenges of adopting these tools. Hence, a thorough examination of the teachers' experiences in this discipline can shed light on the effective ways of enhancing students' learning and boosting their progress. In this contribution, we have surveyed the opinions of tertiary education teachers based in Spain (mainly) and Spanish-speaking countries. The focus of these surveys is to collect teachers' feedback about their opinions regarding the introduction of the messaging platforms and chatbots in their classes, understand their needs and to gather information about the various educational use cases where these tools are valuable. In addition, an analysis of how and when teachers' opinions towards the use of these tools can vary across gender, experience, and their discipline of specialisation is presented. The key findings of this study highlight the factors that can contribute to the advancement of the adoption of messaging platforms and chatbots in higher education institutions to achieve the desired learning outcomes.

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“…Our proposal focuses in a functional evaluation (proxy task), but we consider performing a more in-depth evaluation for a specific domain in future work. We based our proposal in Moreo et al (2012a). They tried a similar approach in a frequent answered questions (FAQ) retrieval method and continued with Moreo et al (2017Moreo et al ( , 2013Moreo et al ( , 2012b.…”

Section: Related Workmentioning

confidence: 99%

“…In fact, they also take into account stop words, on the contrary to machine learning models where stop words are removed in most scenarios while preprocessing. Moreo et al (2012a) tried a similar approach with success, although in a different domain. Additionally, we will need a new measure that is able to maximise statistical relevance and discriminatory performance in order to rank the expressions in a massive search space.…”

Section: Introductionmentioning

confidence: 99%

Discriminatory Expressions to Produce Interpretable Models in Short Documents

Francisco,

Castro

2020

Preprint

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Social Networking Sites (SNS) are one of the most important ways of communication. In particular, microblogging sites are being used as analysis avenues due to their peculiarities (promptness, short texts...). There are countless researches that use SNS in novel manners, but machine learning (ML) has focused mainly in classification performance rather than interpretability and/or other goodness metrics. Thus, state-of-the-art models are black boxes that should not be used to solve problems that may have a social impact. When the problem requires transparency, it is necessary to build interpretable pipelines. Arguably, the most decisive component in the pipeline is the classifier, but it is not the only thing that we need to consider. Despite that the classifier may be interpretable, resulting models are too complex to be considered comprehensible, making it impossible for humans to comprehend the actual decisions. The purpose of this paper is to present a feature selection mechanism (the first step in the pipeline) that is able to improve comprehensibility by using less but more meaningful features while achieving a good performance in microblogging contexts where interpretability is mandatory. Moreover, we present a ranking method to evaluate features in terms of statistical relevance and bias. We conducted exhaustive tests with five different datasets in order to evaluate classification performance, generalisation capacity and actual interpretability of the model. Our results shows that our proposal is better and, by far, the most stable in terms of accuracy, generalisation and comprehensibility.

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A high-performance FAQ retrieval method using minimal differentiator expressions

Cited by 14 publications

References 41 publications

Chatbots and messaging platforms in the classroom: An analysis from the teacher’s perspective

Chatbots and messaging platforms in the classroom: An analysis from the teacher’s perspective

Chatbots and messaging platforms in the classroom: an analysis from the teacher's perspective

Discriminatory Expressions to Produce Interpretable Models in Short Documents

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