We meet on a weely basis to discuss recent research papers. Here is the schedule and the papers presented.
Schedule
| Date | Speaker | Title |
|---|---|---|
| 16/08/22 | Angrosh | |
| 09/08/22 | Jodie | |
| 02/08/22 | Huda | On Transferability of Prompt Tuning for Natural Language Processing and Learning to Transfer Prompts for Text Generation |
| 26/07/22 | Michael | Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks |
| 12/07/22 | Danushka | Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity |
| 05/07/22 | Angrosh | IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization |
| 28/06/22 | Jodie | Nibbling at the Hard Core of Word Sense Disambiguation |
| 14/06/22 | Huda | Learning to Borrow – Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion |
| 07/06/22 | Michael | Meta-learning via Language Model In-context Tuning |
| 17/05/22 | Danushka | ACL summary |
| 10/05/22 | Angrosh | Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction |
| 26/05/22 | Huda | Learning to Borrow – Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion |
| 19/04/22 | Jodie | Sense Embeddings are also Biased–Evaluating Social Biases in Static and Contextualised Sense Embeddings |
| 12/04/22 | Michael | Position-based Prompting for Health Outcome Generation |
| 05/04/22 | Danushka | Generating Datasets with Pretrained Language Models |
| 29/03/22 | Huda | Exploring Task Difficulty for Few-Shot Relation Extraction |
| 22/03/22 | Jodie | Word sense disambiguation: Towards interactive context exploitation from both word and sense perspectives |
| 15/03/22 | Michael | CROSSFIT : A Few-shot Learning Challenge for Cosstask generalisation in NLP |
| 08/03/22 | Danushka | PairRE: Knowledge Graph Embeddings via Paired Relation Vectors |
| 01/03/22 | Angrosh | Relation Classification with Entity Type Restriction |
| 22/02/22 | Huda | Entity Concept-enhanced Few-shot Relation Extraction |
| 15/02/22 | Danushka | Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning |
| 08/02/22 | Michael | Making Pre-trained Language Models Better Few-shot Learners |
| 02/02/22 | Jodie | ESC: Redesigning WSD with Extractive Sense Comprehension |
| 26/01/22 | Huda | CoLAKE: Contextualized Language and Knowledge Embedding |
| 19/01/22 | Danushka | Knowlege base completion meets transfer learning |
| 24/11/21 | Jodie | ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension |
| 17/11/21 | Micheal | When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training |
| 3/11/21 | Angrosh | Graph Transformer Networks |
| 27/10/21 | Huda | Distilling Relation Embeddings from Pre-trained Language Models |
| 20/10/21 | Danushka | Dynamic contextualised word embeddings |
| 13/10/21 | Jodie | MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models |
| 06/10/21 | Micheal | AUTOPROMPT: Eliciting Knowledge from Language Models with Automatically Generated Prompts |
| 29/09/21 | James | Does knowledge distillation really work? |
| 22/09/21 | Huda | ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning |
| 13/09/21 | Angrosh | Dependency-driven RE with Attentive Graph Convolutional Networks |
| 08/09/21 | Danushka | Is sparse attention interpretable |
| 01/09/21 | Jodie | Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations |
| 25/08/21 | Micheal | Prefix-Tuning: Optimizing Continuous Prompts for Generation |
| 18/08/21 | James | Lookahead: A far-sighted alternative of magnitude-based pruning |
| 11/08/21 | Huda | ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning |
| 04/08/21 | Angrosh | VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification |