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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 LingGames - Ph[o:]nix ... Schumacher, Petra. - : Open Science Framework, 2022 BASE Show details 2 LIBRAR : jogo para a promoção do conhecimento de LIBRAS entre crianças ouvintes Ocampos, Laila Roese. - 2021 BASE Show details 3 Tras. Creación de un juego de mesa que potencie la creatividad a través de la lectura de imágenes Ramírez Izquierdo, Tania. - 2020 BASE Show details 4 桌上遊戲教學對國小四年級學童英語單字學習成效之探討 ; The Effects of Board Games on Fourth Graders' English Vocabulary Learning 陳紀璇; CHEN, CHI-HSUAN. - 2019 BASE Show details 5 The Effectiveness of Simulation Board Game to Improve Speaking Skill in Descriptive Text to the Tenth Grade Students of SMA Negeri 2 Wonosobo 2015/2016 Nuari Larasati; Abdurrachman Faridi; Rohani In: ELT Forum: Journal of English Language Teaching, Vol 7, Iss 2, Pp 82-89 (2019) (2019) BASE Show details 6 ボードゲームの社会的実践における英語学習者の談話 ―機能的分析 ; A Functional Analysis of EFL Students' Discourse in the Social Practice of Learning to Play a Board Game Kobayashi, Emi; Kobayashi, Masaki; Fujimura, Tomoko. - : 共愛学園前橋国際大学, 2014 BASE Show details 7 Learning Board Game Rules from an Instruction Manual Mills, Chad. - 2013 Abstract: Thesis (Master's)--University of Washington, 2013 ; Board game rulebooks offer a convenient scenario for extracting a systematic logical structure from a passage of text since the mechanisms by which board game pieces interact must be fully specified in the rulebook and outside world knowledge is irrelevant to gameplay. A representation was proposed for representing a game's rules with a tree structure of logically-connected rules, and this problem was shown to be one of a generalized class of problems in mapping text to a hierarchical, logical structure. Then a keyword-based entity- and relation-extraction system was proposed for mapping rulebook text into the corresponding logical representation, which achieved an f-measure of 11% with a high recall but very low precision, due in part to many statements in the rulebook offering strategic advice or elaboration and causing spurious rules to be proposed based on keyword matches. The keyword-based approach was compared to a machine learning approach, and the former dominated with nearly twenty times better precision at the same level of recall. This was due to the large number of rule classes to extract and the relatively small data set given this is a new problem area and all data had to be manually annotated. This provided insufficient training data the machine learning approach, which performs better on large data sets with small numbers of extraction classes. The keyword-based approach was subsequently improved with a set of domain-specific filters using context information to remove likely false positives. This improved precision over the baseline system by 296% at an expense of an 11% drop in recall, an f-measure improvement from 16% to 49% on the rule extraction subtask which is the system's bottleneck. The overall system's f-measure improved from 11% to 30%, providing a substantial improvement though leaving plenty of opportunities for future work. Keyword: board game rules; computational linguistics; Computer science; entity extraction; Linguistics; logical system extraction; natural language processing; relation extraction URL: http://hdl.handle.net/1773/23470 BASE Hide details 8 Improving students’ speaking ability through story board game Meta Nur Utaminingsih In: ELT Forum: Journal of English Language Teaching, Vol 2, Iss 2, Pp 1-7 (2013) (2013) BASE Show details

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