Papers
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns
Stephanie Brandl, Ruixiang Cui, Anders Søgaard
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets
Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis et al.
How do people talk about images? A study on open-domain conversations with images.
Yi-Pei Chen, Nobuyuki Shimizu, Takashi Miyazaki et al.
How Gender Debiasing Affects Internal Model Representations, and Why It Matters
Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov
How to be Helpful on Online Support Forums?
Zhilin Wang, Pablo E. Torres
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer
Iman Jundi, Gabriella Lapesa
How Universal is Metonymy? Results from a Large-Scale Multilingual Analysis
Temuulen Khishigsuren, Gábor Bella, Thomas Brochhagen et al.
HuaAMS at SemEval-2022 Task 8: Combining Translation and Domain Pre-training for Cross-lingual News Article Similarity
Sai Sandeep Sharma Chittilla, Talaat Khalil
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea
Haneul Yoo, Jiho Jin, Juhee Son et al.
Human-Centered Evaluation of Explanations
Jordan Boyd-Graber, Samuel Carton, Shi Feng et al.
HW-TSC at SemEval-2022 Task 3: A Unified Approach Fine-tuned on Multilingual Pretrained Model for PreTENS
Yinglu Li, Min Zhang, Xiaosong Qiao et al.
HW-TSC at SemEval-2022 Task 7: Ensemble Model Based on Pretrained Models for Identifying Plausible Clarifications
Xiaosong Qiao, Yinglu Li, Min Zhang et al.
Hyperbolic Relevance Matching for Neural Keyphrase Extraction
Mingyang Song, Yi Feng, Liping Jing
I2C at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Deep Learning Techniques
Laura Vázquez Ramos, Adrián Moreno Monterde, Victoria Pachón et al.
I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes
Pablo Cordon, Pablo Gonzalez Diaz, Jacinto Mata et al.
I2C at SemEval-2022 Task 6: Intended Sarcasm Detection on Social Networks with Deep Learning
Pablo Gonzalez Diaz, Pablo Cordon, Jacinto Mata et al.
I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques
Adrián Moreno Monterde, Laura Vázquez Ramos, Jacinto Mata et al.
ID10M: Idiom Identification in 10 Languages
Simone Tedeschi, Federico Martelli, Roberto Navigli
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions
Omer Antverg, Eyal Ben-David, Yonatan Belinkov
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang, Rohit Sridhar, Diyi Yang et al.
Identifying Corporate Credit Risk Sentiments from Financial News
Noujoud Ahbali, Xinyuan Liu, Albert Nanda et al.
Identifying Distorted Thinking in Patient-Therapist Text Message Exchanges by Leveraging Dynamic Multi-Turn Context
Kevin Lybarger, Justin Tauscher, Xiruo Ding et al.
Identifying Human Needs through Social Media: A study on Indian cities during COVID-19
Sunny Rai, Rohan Joseph, Prakruti Singh Thakur et al.