📰 Workshop on Noisy User-generated Text 2019 — accepted papers

Workshop on Noisy User-generated Text 2019 is the 2019 edition of the Workshop on Noisy User-generated Text, held in Hong Kong, China, November 2019 (publisher: Association for Computational Linguistics). Our library holds 3 papers of its papers, listed below with the most cited first; each has a page with our summary, its key points and its references.

📄 Papers with our summary in our library (3)

The most cited first (OpenAlex citations plus our library's).

1. Exploiting BERT for End-to-End Aspect-based Sentiment AnalysisXin Li, Lidong Bing, Wenxuan Zhang, et al.2019 · 416 citations
2. Training on Synthetic Noise Improves Robustness to Natural Noise in Machine TranslationVladimir Karpukhin, Omer Levy, Jacob Eisenstein, et al.2019 · 159 citations
3. What A Sunny Day ☔: Toward Emoji-Sensitive Irony DetectionShirley Anugrah Hayati, Aditi Chaudhary, Naoki Otani, et al.2019 · 10 citations

🧭 Top topics

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

😊Sentiment & emotion (2)🔁Machine translation (1)

📚 Fields

🖥️Computer Science (3)🎭Arts and Humanities (2)💭Psychology (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Georgia Institute of TechnologyAtlanta · United States1 work here🎓Chinese University of Hong KongHong Kong · China1 work here🏢Meta (Israel)Tel Aviv · Israel1 work here🏢MetaMenlo Park · United States1 work here🏢Alibaba DAMO AcademyHangzhou · China1 work here🎓Carnegie Mellon UniversityPittsburgh · United States1 work here🎓Stanford UniversityStanford · United States1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

This page in Markdown → https://md.research.elamur.ai/free/en/venues/wnut/2019/