Papers
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation
Injy Sarhan, Pablo Mosteiro, Marco Spruit
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model
Chuyun Deng, Mingxuan Liu, Yue Qin et al.
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems
Hung Le, Nancy Chen, Steven Hoi
Visual Commonsense in Pretrained Unimodal and Multimodal Models
Chenyu Zhang, Benjamin Van Durme, Zhuowan Li et al.
ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation
Long Phan, Hieu Tran, Hieu Nguyen et al.
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding
Guoqing Zheng, Giannis Karamanolakis, Kai Shu et al.
Weakly Supervised Text Classification using Supervision Signals from a Language Model
Ziqian Zeng, Weimin Ni, Tianqing Fang et al.
Weakly Supervised Text-to-SQL Parsing through Question Decomposition
Tomer Wolfson, Daniel Deutch, Jonathan Berant
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models
Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz
What changed? Investigating Debiasing Methods using Causal Mediation Analysis
Sullam Jeoung, Jana Diesner
What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris
Mikael Brunila, Jack LaViolette
What do Large Language Models Learn about Scripts?
Abhilasha Sancheti, Rachel Rudinger
What do tokens know about their characters and how do they know it?
Ayush Kaushal, Kyle Mahowald
What do Toothbrushes do in the Kitchen? How Transformers Think our World is Structured
Alexander Henlein, Alexander Mehler
What Do Users Care About? Detecting Actionable Insights from User Feedback
Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen McKeown et al.
What Do You See in this Patient? Behavioral Testing of Clinical NLP Models
Betty Van Aken, Sebastian Herrmann, Alexander Löser
What Drives the Use of Metaphorical Language? Negative Insights from Abstractness, Affect, Discourse Coherence and Contextualized Word Representations
Prisca Piccirilli, Sabine Schulte Im Walde
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review
Terne Thorn Jakobsen, Anna Rogers
What kinds of errors do reference resolution models make and what can we learn from them?
Jorge Sánchez, Mauricio Mazuecos, Hernán Maina et al.
What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research
Maartje Ter Hoeve, Julia Kiseleva, Maarten de Rijke
“What makes a question inquisitive?” A Study on Type-Controlled Inquisitive Question Generation
Lingyu Gao, Debanjan Ghosh, Kevin Gimpel
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it
Sebastian Schuster, Tal Linzen
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
Zhuoyuan Mao, Chenhui Chu, Raj Dabre et al.
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes
Mycal Tucker, Tiwalayo Eisape, Peng Qian et al.