Papers
Let’s Chat: Understanding User Expectations in Socialbot Interactions
Elizabeth Soper, Erin Pacquetet, Sougata Saha et al.
Let the Model Decide its Curriculum for Multitask Learning
Neeraj Varshney, Swaroop Mishra, Chitta Baral
Leveraging Three Types of Embeddings from Masked Language Models in Idiom Token Classification
Ryosuke Takahashi, Ryohei Sasano, Koichi Takeda
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin, Dejiao Zhang, Henghui Zhu et al.
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin et al.
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification
Irene Li, Aosong Feng, Hao Wu et al.
Lightweight Transformers for Conversational AI
Daniel Pressel, Wenshuo Liu, Michael Johnston et al.
LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary
Bin Li, Yixuan Weng, Fei Xia et al.
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer
Fei Xia, Bin Li, Yixuan Weng et al.
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
Jakob Prange, Nathan Schneider, Lingpeng Kong
LISACTeam at SemEval-2022 Task 6: A Transformer based Approach for Intended Sarcasm Detection in English Tweets
Abdessamad Benlahbib, Hamza Alami, Ahmed Alami
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners
Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu et al.
LITE: Intent-based Task Representation Learning Using Weak Supervision
Naoki Otani, Michael Gamon, Sujay Kumar Jauhar et al.
Literature-Augmented Clinical Outcome Prediction
Aakanksha Naik, Sravanthi Parasa, Sergey Feldman et al.
LM-CORE: Language Models with Contextually Relevant External Knowledge
Jivat Kaur, Sumit Bhatia, Milan Aggarwal et al.
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
Mengjie Zhao, Fei Mi, Yasheng Wang et al.
Locally Aggregated Feature Attribution on Natural Language Model Understanding
Sheng Zhang, Jin Wang, Haitao Jiang et al.
Local-to-global learning for iterative training of production SLU models on new features
Yulia Grishina, Daniil Sorokin
Logical Story Representations via FrameNet + Semantic Parsing
Lane Lawley, Lenhart Schubert
Logical Transductions for the Typology of Ditransitive Prosody
Mai Ha Vu, Aniello De Santo, Hossep Dolatian
Long Context Question Answering via Supervised Contrastive Learning
Avi Caciularu, Ido Dagan, Jacob Goldberger et al.
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan et al.
LongT5: Efficient Text-To-Text Transformer for Long Sequences
Mandy Guo, Joshua Ainslie, David Uthus et al.