| Perturbation-based Self-supervised Attention for Text Classification | Nov 16, 2021 | ClassificationSentence | —Unverified | 0 |
| Rethinking Negative Sampling for Handling Missing Entity Annotations | Nov 16, 2021 | named-entity-recognitionNamed Entity Recognition | —Unverified | 0 |
| Few-shot Named Entity Recognition with Joint Token and Sentence Awareness | Nov 16, 2021 | Few-Shot LearningFew-shot NER | —Unverified | 0 |
| Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment | Nov 16, 2021 | Machine TranslationSentence | —Unverified | 0 |
| RepAL: A Simple and Plug-and-play Method for Improving Unsupervised Sentence Representations | Nov 16, 2021 | Representation LearningSentence | —Unverified | 0 |
| OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval | Nov 16, 2021 | Cross-Lingual TransferMachine Translation | —Unverified | 0 |
| Learning Universal Sentence Embeddings with Large-scale Parallel Translation Datasets | Nov 16, 2021 | Contrastive LearningSemantic Textual Similarity | —Unverified | 0 |
| Discourse Context Primes Hindi Word Order | Nov 16, 2021 | Sentence | —Unverified | 0 |
| Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics | Nov 16, 2021 | ClusteringSentence | —Unverified | 0 |
| Mukayese: Turkish NLP Strikes Back | Nov 16, 2021 | BenchmarkingLanguage Modeling | —Unverified | 0 |
