conftrace_

Papers

4,564 papers found · incl. 642 without abstracts Only with abstracts
An End-to-End Network for Emotion-Cause Pair Extraction
Aaditya Singh, Shreeshail Hingane, Saim Wani et al.
2021 EACL
A Neural Few-Shot Text Classification Reality Check
Thomas Dopierre, Christophe Gravier, Wilfried Logerais
2021 EACL
A New Surprise Measure for Extracting Interesting Relationships between Persons
Hidetaka Kamigaito, Jingun Kwon, Young-In Song et al.
2021 EACL
2021 EACL
An Expert Annotated Dataset for the Detection of Online Misogyny
Ella Guest, Bertie Vidgen, Alexandros Mittos et al.
2021 EACL
Annealing Knowledge Distillation
Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma et al.
2021 EACL
A (Non)-Perfect Match: Mapping plWordNet onto PrincetonWordNet
Ewa Rudnicka, Wojciech Witkowski, Maciej Piasecki
2021 EACL
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline
Senthil Kumar B, Aravindan Chandrabose, Bharathi Raja Chakravarthi
2021 EACL
2021 EACL
A phonetic model of non-native spoken word processing
Yevgen Matusevych, Herman Kamper, Thomas Schatz et al.
2021 EACL
Applying the Transformer to Character-level Transduction
Shijie Wu, Ryan Cotterell, Mans Hulden
2021 EACL
A Preliminary Study on Evaluating Consultation Notes With Post-Editing
Francesco Moramarco, Alex Papadopoulos Korfiatis, Aleksandar Savkov et al.
2021 EACL
Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features
Mohamed Lichouri, Mourad Abbas, Khaled Lounnas et al.
2021 EACL
Arabic Offensive Language on Twitter: Analysis and Experiments
Hamdy Mubarak, Ammar Rashed, Kareem Darwish et al.
2021 EACL
AraFacts: The First Large Arabic Dataset of Naturally Occurring Claims
Zien Sheikh Ali, Watheq Mansour, Tamer Elsayed et al.
2021 EACL
2021 EACL
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection
Fatima Haouari, Maram Hasanain, Reem Suwaileh et al.
2021 EACL
ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks
Fatima Haouari, Maram Hasanain, Reem Suwaileh et al.
2021 EACL