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Daniel Ortega

Daniel Ortega has 3 papers in our library, in 2017–2019, most of them on Speech act theory, Dialogue systems, Speech & spoken language; often with Ngoc Thang Vu.

3 papers in our library · 2017–2019

OpenAlex · h-index 6 · 11 works · 95 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 23 times in our library · ⭐ Paper Stars ranking: #5185

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of StuttgartStuttgart · Germany2017–2022 · 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 1 work

🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 3 worksSpeech act theory · 3 worksSpeech & spoken language · 1 work

 Works by year

2010s

20191 paperContext-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions20181 paperLexico-acoustic Neural-based Models for Dialog Act Classification20171 paperNeural-based Context Representation Learning for Dialog Act Classification

 Papers

The most cited first (OpenAlex and our library).

  1. Neural-based Context Representation Learning for Dialog Act Classification (2017 · 51 citations)
    Short utterances such as "Right" are often ambiguous for dialog act (DA) classification. Their label depends on what came before them in the conversation. Ortega and Vu study how neural models can learn a useful representation of preceding utterances for this task. Each utterance and its context are encoded with a…
  2. Lexico-acoustic Neural-based Models for Dialog Act Classification (2018 · 21 citations)
    Ortega and Vu ask whether the sound of speech, and not only its transcript, helps assign dialog acts (DAs) such as Statement, Question or Backchannel to utterances in spoken conversation.
  3. Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions (2019 · 11 citations)
    The paper tackles dialog act (DA) classification, which labels each utterance with the speaker's intention, such as a question, statement or backchannel.

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 23 times (of the 141,840 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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