Mintegia: Ikasleen testuak ebaluatzeko laguntza automatikoak (A. Horbach, 2019-09-17)

Irailaren 16tik 27ra Andrea Horbach gurekin izango da bisitan. Enetcollect COST actionaren bitartez etorri da bi asteko egonaldia egitera. Gurekin galderen sorkuntza eta beraien ebaluazioaren inguruan dabil lanean, baina mintegian ikusteko aukera izan genuen moduan, gai gehiagotan dago lanean eta kolaboratzeko prest.

Mintegi-saioa
Non: Informatika Fakultateko Ada Lovelace aretoan
Hizlaria: Andrea Horbach ikertzailea,
Hizkuntza Teknologia Laborategia
University of Duisburg-Essen, Alemania

Eguna: 2019-09-17 ;  15:00 – 16:00
Izenburua: Ikasleak sortutako edukien ebaluazioa, automatikoa edo lagundutakoa,  hezkuntza elebakarrean eta hizkunza-artekoan.
/Automated and Assisted Content Scoring in Mono- and Cross-Lingual Educational Settings
Hizkuntza: Ingelesa
Laburpena: Ariketetan erantzunak testu librekoa direnean, ikasleak idatzitako testua ebaluatzeko balio duten sistemek irakasleen zuzenketa-lana erraztu nahi dute eta gainera beti irizpide berdintsuekin egitea dute helburu, zuzenketarako koherentzia lortze aldera. Dena modu automatikoan egitea  oso fidagarria ez denez, irakasleak zuzenketa lagundua erabil dezake, sistema horietan ere hizkuntzaren prozesamenduko tresnak baliatzen dira.


Summary:
This talk presents ongoing work of two research projects related to educational scoring: First, we investigate content scoring in a cross-lingual setup, where a model trained on data in one language is applied to new data in a different language in order to foster educational equality as well as to overcome data sparseness. We present our cross-lingual data collection, as well as machine learning experiments using machine translation to bridge the language gap.
In the second part of the talk we present work on assisted scoring of listening comprehension data from language proficiency testing. We show assisted scoring studies where teachers are supported in scoring answers by the use of clustering techniques.

Short bio: Andrea Horbach is a researcher at the Language Technology Lab headed by Prof. Torsten Zesch at the University of Duisburg-Essen, Germany. Last year, she defended her PhD thesis in computational linguistics, titled „Analyzing Short-Answer Questions and their Automatic Scoring: Studies on Semantic Relations in Reading Comprehension and the Reduction of Human Annotation Effort“ at Saarland University under the supervision of Prof. Manfred Pinkal. Her main research interests include educational NLP, such as automatic scoring and exercise generation, as well as the processing of non-standard language. Andrea is visiting San Sebastian within the enetCollect network on crowdsourcing for language learning, as part of an ongoing collaborating with Itziar Aldabe, Oier Lopez de Lacalle and Monte Maritxalar about evaluating manually as well as automatically generated reading comprehension questions.

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