Papers
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA
Junjie Huang, Wanjun Zhong, Qian Liu et al.
Mixture of Attention Heads: Selecting Attention Heads Per Token
Xiaofeng Zhang, Yikang Shen, Zeyu Huang et al.
MLLabs-LIG at TempoWiC 2022: A Generative Approach for Examining Temporal Meaning Shift
Chenyang Lyu, Yongxin Zhou, Tianbo Ji
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
Wei Han, Hui Chen, Min-Yen Kan et al.
MOBA-E2C: Generating MOBA Game Commentaries via Capturing Highlight Events from the Meta-Data
Dawei Zhang, Sixing Wu, Yao Guo et al.
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective
Zhe Hu, Hou Pong Chan, Lifu Huang
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval
Minjoon Jung, SeongHo Choi, JooChan Kim et al.
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
Iker García-Ferrero, Rodrigo Agerri, German Rigau
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
Neeraj Varshney, Chitta Baral
Model Criticism for Long-Form Text Generation
Yuntian Deng, Volodymyr Kuleshov, Alexander Rush
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
Bin Sun, Shaoxiong Feng, Yiwei Li et al.
Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation
Xinglin Lyu, Junhui Li, Shimin Tao et al.
Modeling Context With Linear Attention for Scalable Document-Level Translation
Zhaofeng Wu, Hao Peng, Nikolaos Pappas et al.
Modeling Information Change in Science Communication with Semantically Matched Paraphrases
Dustin Wright, Jiaxin Pei, David Jurgens et al.
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
Chengyue Jiang, Yong Jiang, Weiqi Wu et al.
Modelling Persuasion through Misuse of Rhetorical Appeals
Amalie Pauli, Leon Derczynski, Ira Assent
Modular and Parameter-Efficient Fine-Tuning for NLP Models
Sebastian Ruder, Jonas Pfeiffer, Ivan Vulić
Momentum Contrastive Pre-training for Question Answering
Minda Hu, Muzhi Li, Yasheng Wang et al.
monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering
Sarawoot Kongyoung, Craig Macdonald, Iadh Ounis
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
Yu Zhao, Xiangrui Cai, Yike Wu et al.
Most NLG is Low-Resource: here’s what we can do about it
David M. Howcroft, Dimitra Gkatzia
MovieUN: A Dataset for Movie Understanding and Narrating
Qi Zhang, Zihao Yue, Anwen Hu et al.
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Chenliang Li, Haiyang Xu, Junfeng Tian et al.
MS-COMET: More and Better Human Judgements Improve Metric Performance
Tom Kocmi, Hitokazu Matsushita, Christian Federmann
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation
Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari et al.