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Scott Piao

Scott Piao has 2 papers in our library, in 2020–2026, most of them on Sentiment & emotion, Multilingual & cross-lingual NLP, Semitic languages; often with Dawn Knight, Israa Alsiyat, Paul Rayson.

2 papers in our library · 2020–2026

current affiliationLancaster University, Lancaster, United Kingdom

OpenAlex · ORCID · h-index 20 · 101 works · 1 237 citations OpenAlex, 2026-10-14

2 works in our library · 4 citations in our library · ⭐ Paper Star rank #4883

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

Topics

Sentiment & emotion1Multilingual & cross-lingual NLP1Semitic languages1Idioms & multiword expressions1

Works by year

2020s

Papers

The most cited first (OpenAlex and our library).

  1. Metaphorical Expressions in Automatic Arabic Sentiment Analysis (2020 · 8 citations)
    This paper asks whether current Arabic sentiment analysis tools can handle metaphorical language. The authors argue that metaphor is especially common in Arabic for historical and cultural reasons. A metaphor's intended polarity often differs from the literal polarity of its words, which confuses systems that rely on…
  2. Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation (2026)
    The USAS semantic framework uses a coarse inventory of 232 category labels. Its tools have mostly been rule-based taggers driven by language-specific lexicons, and nobody had openly tested how well they assign tags in context across several languages. Hand-annotated USAS training data also did not exist. To fill this…

Co-authors here

3 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 4 times (of the 140 884 papers whose bibliographies we read); 2 citing papers with a page here →.

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