Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Deriu, Jan Milan"'
We examine the paradigm of data-centric artificial intelligence (DCAI) as a solution to the obstacles that small and medium-sized enterprises (SMEs) face in adopting AI. While the prevalent model-centric approach emphasizes collecting large amounts o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::343d68d1bebc07625e6c3b7f262bcc6e
https://hdl.handle.net/11475/27724
https://hdl.handle.net/11475/27724
Autor:
von Däniken, Pius, Deriu, Jan Milan, Agirre, Eneko, Brunner, Ursin, Cieliebak, Mark, Stockinger, Kurt
Natural Language-to-Query systems translate a natural language question into a formal query language such as SQL. Typically the translation results in a set of candidate query statements due to the ambiguity of natural language. Hence, an important a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9660ba913485c605efba7aed4a5adb96
https://hdl.handle.net/11475/26147
https://hdl.handle.net/11475/26147
Autor:
Ulasik, Malgorzata Anna, Hürlimann, Manuela, Dubel, Bogumila, Kaufmann, Yves, Rudolf, Silas, Deriu, Jan Milan, Mlynchyk, Katsiaryna, Hutter, Hans-Peter, Cieliebak, Mark
This paper presents the contribution of ZHAW-CAI to the Shared Task ”Swiss German Speech to Standard German Text” at the SwissText 2021 conference. Our approach combines three models based on the Fairseq, Jasper and Wav2vec architectures trained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3da3e025ea22e3d12fb7ad000215a1c7
German Summarization Challenge 2019 at SwissText 2019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b416ecf11a14d3acf72425f2dfa5ebab
Autor:
Deriu, Jan Milan, Rodrigo, Alvaro, Otegi, Arantxa, Guillermo, Echegoyen, Rosset, Sophie, Agirre, Eneko, Cieliebak, Mark
In this paper we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation is a crucial part during the development process. Often, dialogue systems are evaluated by means of human evaluations and questionnaires. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::398530289b59e2f04ba53baa3736207b
Autor:
Benites de Azevedo e Souza, Fernando, Grubenmann, Ralf, von Däniken, Pius, von Grünigen, Dirk, Deriu, Jan Milan, Cieliebak, Mark
We describe our approaches used in the German Dialect Identification (GDI) task at the VarDial Evaluation Campaign 2018. The goal was to identify to which out of four dialects spoken in German speaking part of Switzerland a sentence belonged to. We a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd9c40ce638d1aa091d50d05c69c9e6f
Autor:
Deriu, Jan Milan, Cieliebak, Mark
Natural Language Generation plays an important role in the domain of dialogue systems as it determines how the users perceive the system. Recently, deep-learning based systems have been proposed to tackle this task, as they generalize better and do n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83cbe69aa11cc89a0355d8bf1d3cfb68
In this paper, we propose a classifier for predicting topic-specific sentiments of English Twitter messages. Our method is based on a 2-layer CNN. With a distant supervised phase we leverage a large amount of weakly-labelled training data. Our system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cde41c23c2b3f4004dbaad6a26b4312