Papers
Tokenization Repair in the Presence of Spelling Errors
Hannah Bast, Matthias Hertel, Mostafa M. Mohamed
Token-wise Curriculum Learning for Neural Machine Translation
Chen Liang, Haoming Jiang, Xiaodong Liu et al.
To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation
Sari Dewi Budiwati, Tirana Fatyanosa, Mahendra Data et al.
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
Junpeng Liu, Yanyan Zou, Hainan Zhang et al.
Topic-Guided Abstractive Multi-Document Summarization
Peng Cui, Le Hu
Topic Transferable Table Question Answering
Saneem Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj et al.
To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence
Caleb Ziems, Diyi Yang
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
Lukas Lange, Jannik Strötgen, Heike Adel et al.
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
Tom Kocmi, Christian Federmann, Roman Grundkiewicz et al.
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li, Lizhen Qu, Gholamreza Haffari
Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy
Maharshi Gor, Kellie Webster, Jordan Boyd-Graber
Towards a Methodology Supporting Semiautomatic Annotation of HeadMovements in Video-recorded Conversations
Patrizia Paggio, Costanza Navarretta, Bart Jongejan et al.
Towards Automatic Bias Detection in Knowledge Graphs
Daphna Keidar, Mian Zhong, Ce Zhang et al.
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach
Haoming Jiang, Bo Dai, Mengjiao Yang et al.
Towards Code-Mixed Hinglish Dialogue Generation
Vibhav Agarwal, Pooja Rao, Dinesh Babu Jayagopi
Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
Humair Raj Khan, Deepak Gupta, Asif Ekbal
Towards Document-Level Paraphrase Generation with Sentence Rewriting and Reordering
Zhe Lin, Yitao Cai, Xiaojun Wan
Towards Improving Adversarial Training of NLP Models
Jin Yong Yoo, Yanjun Qi
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU
Patrick Kahardipraja, Brielen Madureira, David Schlangen
Towards Label-Agnostic Emotion Embeddings
Sven Buechel, Luise Modersohn, Udo Hahn
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Yunlong Liang, Chulun Zhou, Fandong Meng et al.
Towards Realistic Few-Shot Relation Extraction
Sam Brody, Sichao Wu, Adrian Benton
Towards Realistic Single-Task Continuous Learning Research for NER
Justin Payan, Yuval Merhav, He Xie et al.
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems
Di Jin, Shuyang Gao, Seokhwan Kim et al.
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
Tassilo Klein, Moin Nabi