Jeffrey Sorensen

34 papers A* 2A 4C 1Misc 3Journal 11Unranked 13
YearRankTypeTitle / Venue / Authors
2024 — conf
Countering Hateful and Offensive Speech Online - Open Challenges.
EMNLP (Tutorial Abstracts)
Flor Miriam Plaza del Arco, Debora Nozza, Marco Guerini, Jeffrey Sorensen, Marcos Zampieri
2023 J jnl
Classifying constructive comments.
First Monday
Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
2023 — conf
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification.
SemEval@ACL
Jeffrey Sorensen, Katerina Korre, John Pavlopoulos, Katrin Tomanek, Nithum Thain, Lucas Dixon, Léo Laugier
2023 J jnl
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning.
CoRR
Ali Omrani, Alireza S. Ziabari, Preni Golazizian, Jeffrey Sorensen, Morteza Dehghani
2022 A* conf
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers.
KDD
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
2022 J jnl
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers.
CoRR
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
2022 — conf
From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer.
ACL (1)
John Pavlopoulos, Léo Laugier, Alexandros Xenos, Jeffrey Sorensen, Ion Androutsopoulos
2022 — conf
SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification.
SemEval@NAACL
Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, Aurora Saibene, Berta Chulvi, Paolo Rosso, Alyssa Lees, Jeffrey Sorensen
2022 J jnl
Toxicity detection sensitive to conversational context.
First Monday
Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos, Lucas Dixon, Jeffrey Sorensen, Léo Laugier
2021 A conf
A large-scale characterization of online incitements to harassment across platforms.
Internet Measurement Conference
Maxwell Aliapoulios, Kejsi Take, Prashanth Ramakrishna, Daniel Borkan, Beth Goldberg, Jeffrey Sorensen, Anna Turner, Rachel Greenstadt, Tobias Lauinger, Damon McCoy
2021 A conf
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers.
EACL
Léo Laugier, John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon
2021 J jnl
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers.
CoRR
Léo Laugier, John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon
2021 — conf
SemEval-2021 Task 5: Toxic Spans Detection.
SemEval@ACL/IJCNLP
John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, Ion Androutsopoulos
2021 J jnl
Toxicity Detection can be Sensitive to the Conversational Context.
CoRR
Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos, Lucas Dixon, Jeffrey Sorensen, Léo Laugier
2020 J jnl
Classifying Constructive Comments.
CoRR
Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
2020 — conf
Jigsaw @ AMI and HaSpeeDe2: Fine-Tuning a Pre-Trained Comment-Domain BERT Model.
EVALITA
Alyssa Lees, Jeffrey Sorensen, Ian Kivlichan
2020 J jnl
Six Attributes of Unhealthy Conversation.
CoRR
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
2020 — conf
Six Attributes of Unhealthy Conversations.
WOAH
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
2020 A* conf
Toxicity Detection: Does Context Really Matter?
ACL
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos
2020 J jnl
Toxicity Detection: Does Context Really Matter?
CoRR
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos
2019 J jnl
Limitations of Pinned AUC for Measuring Unintended Bias.
CoRR
Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2019 — conf
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification.
WWW (Companion Volume)
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2019 J jnl
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification.
CoRR
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2018 C conf
Measuring and Mitigating Unintended Bias in Text Classification.
AIES
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2013 A conf
Accurate and compact large vocabulary speech recognition on mobile devices.
INTERSPEECH
Xin Lei, Andrew W. Senior, Alexander Gruenstein, Jeffrey Sorensen
2012 — conf
The OpenGrm open-source finite-state grammar software libraries.
ACL (System Demonstrations)
Brian Roark, Richard Sproat, Cyril Allauzen, Michael Riley, Jeffrey Sorensen, Terry Tai
2011 A conf
Unary Data Structures for Language Models.
INTERSPEECH
Jeffrey Sorensen, Cyril Allauzen
2007 — conf
Large-Scale Distributed Language Modeling.
ICASSP (4)
Ahmad Emami, Kishore Papineni, Jeffrey Sorensen
2005 — conf
An Integrated Approach for Arabic-English Named Entity Translation.
SEMITIC@ACL
Hany Hassan, Jeffrey Sorensen
2005 — conf
The Impact of Morphological Stemming on Arabic Mention Detection and Coreference Resolution.
SEMITIC@ACL
Imed Zitouni, Jeffrey Sorensen, Xiaoqiang Luo, Radu Florian
2001 Misc conf
Spread spectrum signaling for speech watermarking.
ICASSP
Qiang Cheng, Jeffrey Sorensen
1994 — conf
Hierarchical pattern classification for high performance text-independent speaker verification systems.
ICASSP (1)
Jeffrey Sorensen, Michael I. Savic
1992 Misc conf
Phoneme based speaker verification.
ICASSP
Michael I. Savic, Jeffrey Sorensen
1992 Misc conf
Use of semi-Markov models for speaker-independent phoneme recognition.
ICASSP
Nimal Ratnayake, Michael I. Savic, Jeffrey Sorensen