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Nicole Novielli

Nicole Novielli has 3 papers in our library, in 2009–2015, most of them on Speech act theory, Dialogue systems, English; often with Carlo Strapparava, Pierpaolo Basile.

3 papers in our library · 2009–2015

OpenAlex · ORCID · Wikidata · h-index 28 · 203 works · 2,821 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #8926

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 Bari Aldo MoroBari · Italy2005–2026 · 122 papersEducation 2007–2010current
🏛️Università degli Studi di BariBari · Italy2007–2010Education 2007–2010 · Ph.D in Informatics, Dipartimento di Informatica

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 work

🧭 Topics 4Research subjects and languages the work is about.English · 2 worksSentiment & emotion · 1 workDialogue systems · 2 worksSpeech act theory · 2 works

 Works by year

2010s

20151 paper20101 paper

2000s

20091 paper

 Papers

The most cited first (OpenAlex and our library).

  1. UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features (2015 · 14 citations)
    The paper describes UNIBA's entry to SemEval-2015 Task 10, subtask B. The task is to label each English tweet as positive, negative or neutral. The authors adapted their Italian tweet classifier, which won Evalita 2014, and trained a linear SVM (Liblinear, L2-loss) on the 8,006 provided training tweets. The model…
  2. Towards Unsupervised Recognition of Dialogue Acts (2009 · 6 citations)
    The paper tackles automatic dialogue act (DA) labeling: deciding whether each utterance asks, states, opines, agrees, greets, thanks, and so on.
  3. Studying the Lexicon of Dialogue Acts (2010 · 2 citations)
    The paper looks at which lexical signals mark different dialogue acts (DAs), the communicative purpose of an utterance such as asking, stating, opining, agreeing or thanking.

 Co-authors here

2 co-authors 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 3 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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