Jeffrey Sorensen

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 23

Top Topics

Knowledge Retrieval

Newly Constructed

Text Classification

Top Venues

Publications

Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
Classifying constructive comments. First Monday 28 (4) (2023)
Jeffrey Sorensen, Katerina Korre, John Pavlopoulos, Katrin Tomanek, Nithum Thain, Lucas Dixon, Leo Laugier
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification. SemEval@ACL (2023)
Ali Omrani, Alireza S. Ziabari, Preni Golazizian, Jeffrey Sorensen, Morteza Dehghani
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning. CoRR (2023)
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. CoRR (2022)
Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, Aurora Saibene, Berta Chulvi, Paolo Rosso, Alyssa Lees, Jeffrey Sorensen
SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. SemEval@NAACL (2022)
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. KDD (2022)
John Pavlopoulos, Leo Laugier, Alexandros Xenos, Jeffrey Sorensen, Ion Androutsopoulos
From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer. ACL (1) (2022)
Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos, Lucas Dixon, Jeffrey Sorensen, Leo Laugier
Toxicity detection sensitive to conversational context. First Monday 27 (9) (2022)
Leo Laugier, John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers. CoRR (2021)
Maxwell Aliapoulios, Kejsi Take, Prashanth Ramakrishna, Daniel Borkan, Beth Goldberg, Jeffrey Sorensen, Anna Turner, Rachel Greenstadt, Tobias Lauinger, Damon McCoy
A large-scale characterization of online incitements to harassment across platforms. Internet Measurement Conference (2021)
John Pavlopoulos, Jeffrey Sorensen, Leo Laugier, Ion Androutsopoulos
SemEval-2021 Task 5: Toxic Spans Detection. SemEval@ACL/IJCNLP (2021)
Leo Laugier, John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers. EACL (2021)
Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos, Lucas Dixon, Jeffrey Sorensen, Leo Laugier
Toxicity Detection can be Sensitive to the Conversational Context. CoRR (2021)
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos
Toxicity Detection: Does Context Really Matter? CoRR (2020)
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
Six Attributes of Unhealthy Conversations. WOAH (2020)
Varada Kolhatkar, Nithum Thain, Jeffrey Sorensen, Lucas Dixon, Maite Taboada
Classifying Constructive Comments. CoRR (2020)
Ilan Price, Jordan Gifford-Moore, Jory Flemming, Saul Musker, Maayan Roichman, Guillaume Sylvain, Nithum Thain, Lucas Dixon, Jeffrey Sorensen
Six Attributes of Unhealthy Conversation. CoRR (2020)
Alyssa Lees, Jeffrey Sorensen, Ian Kivlichan
Jigsaw @ AMI and HaSpeeDe2: Fine-Tuning a Pre-Trained Comment-Domain BERT Model. EVALITA (2020)
John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain, Ion Androutsopoulos
Toxicity Detection: Does Context Really Matter? ACL (2020)
Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
Limitations of Pinned AUC for Measuring Unintended Bias. CoRR (2019)
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. WWW (Companion Volume) (2019)
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. CoRR (2019)
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
Measuring and Mitigating Unintended Bias in Text Classification. AIES (2018)
Xin Lei, Andrew W. Senior, Alexander Gruenstein, Jeffrey Sorensen
Accurate and compact large vocabulary speech recognition on mobile devices. INTERSPEECH (2013)
Brian Roark, Richard Sproat, Cyril Allauzen, Michael Riley, Jeffrey Sorensen, Terry Tai
The OpenGrm open-source finite-state grammar software libraries. ACL (System Demonstrations) (2012)
Jeffrey Sorensen, Cyril Allauzen
Unary Data Structures for Language Models. INTERSPEECH (2011)
Ahmad Emami, Kishore Papineni, Jeffrey Sorensen
Large-Scale Distributed Language Modeling. ICASSP (4) (2007)
Imed Zitouni, Jeffrey Sorensen, Xiaoqiang Luo, Radu Florian
The Impact of Morphological Stemming on Arabic Mention Detection and Coreference Resolution. SEMITIC@ACL (2005)
Hany Hassan, Jeffrey Sorensen
An Integrated Approach for Arabic-English Named Entity Translation. SEMITIC@ACL (2005)
Qiang Cheng, Jeffrey Sorensen
Spread spectrum signaling for speech watermarking. ICASSP (2001)
Jeffrey Sorensen, Michael I. Savic
Hierarchical pattern classification for high performance text-independent speaker verification systems. ICASSP (1) (1994)
Nimal Ratnayake, Michael I. Savic, Jeffrey Sorensen
Use of semi-Markov models for speaker-independent phoneme recognition. ICASSP (1992)
Michael I. Savic, Jeffrey Sorensen
Phoneme based speaker verification. ICASSP (1992)