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Overview The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) invites the submission of long and short papers on substantial  - Information from 2021.emnlp.org

Late Registration: Will remain open until the 24th of November for virtual attendees and access to recordings of the conference presentations - Information from 2021.emnlp.org

It contains instructions for using the Microsoft Word template for EMNLP The numbering and alignment of equation line elements is automatic - Information from 2021.emnlp.org

Assessing the Reliability of Word Embedding Gender Bias Measures MassiveSumm: a very largescale very multilingual news summarisation dataset - Information from 2021.emnlp.org

Timeaware Graph Neural Network for Entity Alignment between Temporal A Faster and Lighter SemiSupervised Text Classification with Convolution Networks - Information from 2021.emnlp.org

MSˆ2: MultiDocument Summarization of Medical Studies Jay DeYoung Iz Beltagy A Semantic Filter Based on Relations for Knowledge Graph Completion - Information from 2021.emnlp.org

Contextualize Knowledge Bases with Transformer for Endtoend TaskOriented Dialogue Systems MSˆ2: MultiDocument Summarization of Medical Studies - Information from 2021.emnlp.org

Relational World Knowledge Representation in Contextual Language Models: A Review ZeroShot CrossLingual Transfer of Neural Machine Translation with  - Information from 2021.emnlp.org

He has taught tutorials on “Transfer learning in natural language multimodal models can leverage their visual training to mitigate these  - Information from 2021.emnlp.org

By aligning the representation of implicit sentiment expressions to those SOMNCSCM : An Efficient Neural Chinese Sentence Compression - Information from 2021.emnlp.org

Transductive Learning for Unsupervised Text Style Transfer Can We Improve Model Robustness through Secondary Attribute Counterfactuals? - Information from 2021.emnlp.org

Solving Aspect Category Sentiment Analysis as a Text Generation Task Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers - Information from 2021.emnlp.org

Answering OpenDomain Questions of Varying Reasoning Steps from Text Peng Qi Haejun Lee SimCSE: Simple Contrastive Learning of Sentence Embeddings - Information from 2021.emnlp.org

Investigating the Helpfulness of WordLevel Quality Estimation for PostEditing Machine Disentangling Representations of Text by Masking Transformers - Information from 2021.emnlp.org

Meta Distant Transfer Learning for Pretrained Language Models Chengyu Wang Haojie Pan The Power of Scale for ParameterEfficient Prompt Tuning - Information from 2021.emnlp.org

How Do Neural Sequence Models Generalize? Local and Global Cues for OutofDistribution Prediction D Anthony Bau and Jacob Andreas - Information from 2021.emnlp.org

Dynamic Knowledge Distillation for Pretrained Language Models SgSum:Transforming Multidocument Summarization into Subgraph Selection - Information from 2021.emnlp.org