Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Dan Stefanescu"'
Autor:
Mārcis Pinnis, Nikola Ljubešić, Inguna Skadiņa, Tatjana Gornostaja, Špela Vintar, Darja Fišer, Marko Tadić, Dan Stefanescu
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Comparable corpora may comprise different types of single-word and multi-word phrases that can be considered as reciprocal translations, which may be beneficial for many different natural language processing tasks. This chapter describes methods and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8f31fc81d3de2dcbe75b06e778fbe37
https://doi.org/10.1007/978-3-319-99004-0_4
https://doi.org/10.1007/978-3-319-99004-0_4
Autor:
Radu Ion, Dan Stefanescu
Publikováno v:
Research in Computing Science. 70:145-156
Parallel corpora are essential resources for certain Natural Language Processing tasks such as Statistical Machine Translation. However, the existing publically available parallel corpora are specific to limited genres or domains, mostly juridical (e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78e75960670af8ac0aee7330c27289cd
https://doi.org/10.13053/rcs-70-1-11
https://doi.org/10.13053/rcs-70-1-11
Publikováno v:
Language Resources and Evaluation. 47:1305-1314
The project on the Romanian wordnet has been under continuous development for more than 10 years now. It has been in constant use in many projects and applications which determined, to a large extent, the content and coverage of various lexical domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06cd257ae525bebe6733b39c29b2326a
https://doi.org/10.1007/s10579-013-9230-7
https://doi.org/10.1007/s10579-013-9230-7
Non-intrusive assessment of learners’ prior knowledge in dialogue-based intelligent tutoring systems
Autor:
Dan Stefanescu, Vasile Rus
Publikováno v:
Smart Learning Environments. 3
This article describes a study whose goal was to assess students’ prior knowledge level with respect to a target domain based solely on characteristics of the natural language interaction between students and conversational Intelligent Tutoring Sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0326f0628a478ccd4c73a860b4b8f73
https://doi.org/10.1186/s40561-016-0025-3
https://doi.org/10.1186/s40561-016-0025-3
Autor:
Vasile Rus, Dan Stefanescu
Publikováno v:
State-of-the-Art and Future Directions of Smart Learning ISBN: 9789812878663
This paper describes a study whose goal was to assess students’ prior knowledge level with respect to a target domain based solely on characteristics of the natural language interaction between students and a state-of-the-art conversational ITS. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df91f2582d7cd59b28fcf32734db7718
https://doi.org/10.1007/978-981-287-868-7_26
https://doi.org/10.1007/978-981-287-868-7_26
Autor:
Rajendra Banjade, Dipesh Gautam, Nabin Maharjan, Dan Stefanescu, Vasile Rus, Nobal B. Niraula, Mihai C. Lintean
Publikováno v:
SemEval@NAACL-HLT
We present in this paper our system developed for SemEval 2015 Shared Task 2 (2a - English Semantic Textual Similarity, STS, and 2c - Interpretable Similarity) and the results of the submitted runs. For the English STS subtask, we used regression mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0590164f9dbd32d5daa0a508a83ade1
https://doi.org/10.18653/v1/s15-2030
https://doi.org/10.18653/v1/s15-2030
Publikováno v:
L@S
We present an overview of the design of a conversational intelligent tutoring system, called DeepTutor, based on the framework of Learning Progressions. Learning Progressions capture students' successful paths towards mastery. The assumption of the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8456bb59e0bddbd8b54d2a9f68014f3
https://doi.org/10.1145/2556325.2567885
https://doi.org/10.1145/2556325.2567885
Autor:
Nobal B. Niraula, Arthur C. Graesser, Vasile Rus, Don Franceschetti, Dan Stefanescu, William Baggett
Publikováno v:
Intelligent Tutoring Systems ISBN: 9783319072203
Intelligent Tutoring Systems
Intelligent Tutoring Systems
We present in this paper the findings of a study on the role of macro-adaptation in conversational intelligent tutoring. Macro-adaptivity refers to a system's capability to select appropriate instructional tasks for the learner to work on. Micro-adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d4e383490f43e3f67bfb629e15e2ece
https://doi.org/10.1007/978-3-319-07221-0_29
https://doi.org/10.1007/978-3-319-07221-0_29
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783642549052
CICLing (1)
CICLing (1)
This paper introduces a method for assessing the semantic similarity between sentences, which relies on the assumption that the meaning of a sentence is captured by its syntactic constituents and the dependencies between them. We obtain both the cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49e761bc1d20a158cf71772f35c04238
https://doi.org/10.1007/978-3-642-54906-9_36
https://doi.org/10.1007/978-3-642-54906-9_36
Publikováno v:
Statistical Language and Speech Processing ISBN: 9783642395925
SLSP
SLSP
We present in this paper experiments with several semantic similarity measures based on the unsupervised method Latent Dirichlet Allocation. For comparison purposes, we also report experimental results using an algebraic method, Latent Semantic Analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58787683f4453c7e012596a8b82c67ab
https://doi.org/10.1007/978-3-642-39593-2_17
https://doi.org/10.1007/978-3-642-39593-2_17