Papers
SeqAttack: On Adversarial Attacks for Named Entity Recognition
Walter Simoncini, Gerasimos Spanakis
SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation
Chester Palen-Michel, Nolan Holley, Constantine Lignos
Sequence Length is a Domain: Length-based Overfitting in Transformer Models
Dusan Varis, Ondřej Bojar
Sequence-to-Lattice Models for Fast Translation
Yuntian Deng, Alexander Rush
Sequence-to-Sequence Lexical Normalization with Multilingual Transformers
Ana-Maria Bucur, Adrian Cosma, Liviu P. Dinu
Sequential Cross-Document Coreference Resolution
Emily Allaway, Shuai Wang, Miguel Ballesteros
Sequential Randomized Smoothing for Adversarially Robust Speech Recognition
Raphael Olivier, Bhiksha Raj
Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization
Yves Scherrer, Nikola Ljubešić
Set Generation Networks for End-to-End Knowledge Base Population
Dianbo Sui, Chenhao Wang, Yubo Chen et al.
SgSum:Transforming Multi-document Summarization into Sub-graph Selection
Moye Chen, Wei Li, Jiachen Liu et al.
Shaking Syntactic Trees on the Sesame Street: Multilingual Probing with Controllable Perturbations
Ekaterina Taktasheva, Vladislav Mikhailov, Ekaterina Artemova
SHAPE: Shifted Absolute Position Embedding for Transformers
Shun Kiyono, Sosuke Kobayashi, Jun Suzuki et al.
Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning
Ruben Branco, António Branco, João António Rodrigues et al.
Shrinking Bigfoot: Reducing wav2vec 2.0 footprint
Zilun Peng, Akshay Budhkar, Ilana Tuil et al.
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks
Wanyu Du, Yangfeng Ji
Signed Coreference Resolution
Kayo Yin, Kenneth DeHaan, Malihe Alikhani
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao, Xingcheng Yao, Danqi Chen
SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations
Satwik Kottur, Seungwhan Moon, Alborz Geramifard et al.
Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval
Xueguang Ma, Minghan Li, Kai Sun et al.
Simple and Efficient ways to Improve REALM
Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov et al.
Simple Entity-Centric Questions Challenge Dense Retrievers
Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee et al.
Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
Sheng Bi, Xiya Cheng, Yuan-Fang Li et al.