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    EMNLP 2021 in tweets


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    26 November 2021


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    emnlp 2021
    The Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) took place from the 7th to the 11th of November both in Punta Cana and online. If you did not have time to check the papers and the keynotes at the main conference, here are the livetweeted keynotes and papers sorted by language.

    Keynotes

    Where next? Towards multi-text consumption via three inspired research lines

    The Language System in the Human Brain

    LT4All!? Rethinking the Agenda

     

    Papers

    Brazilian Portuguese livetweets

    Transformer Feed-Forward Layers Are Key-Value Memories

    CIDEr-R: Robust Consensus-based Image Description Evaluation

    CLIPScore: A Reference-free Evaluation Metric for Image Captioning

    Machine-in-the-Loop Rewriting for Creative Image Captioning

    English livetweets

    Grammatical Profiling for Semantic Change Detection

    Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?

    We Need to Talk About Train-dev-test Splits

    AVodaDo: Strategy fr Adapting Vocabulary to Downstream Domain

    Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent

    HypMix: Hyperbolic Interpolative Data Augmentation

    On Homophony and Rényi Entropy

    The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning

    Competency Problems: On Finding and Removing Artifacts in Language Data

    Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach

    Coarse2Fine: Fine-Grained Text Classification on Coarsely-grained Annotated Data

    Information-theoretic Characterization of Fusion

    AligNART: Non-autoregressive Neural Machine Translation by Learning to Estimate Alignment and Translate

    IndoBERTweet: A Pretrained LM for Indonesian Twitter w/ Effective Domain-Specific Vocabulary Initialization

    MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks

    Multimodal Pretraining Unmasked

    HypMix: Hyperbolic Interpolative Data Augmentation

    Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers

    COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images

    On Pursuit of Designing Multi-model Transformer for Video Grounding

    Inflate and Shrink: Enriching and Reducing Interactions for Fast Text-Image Retrieval

    Robust Open-Vocabulary Translation from Visual Text Representations

    Boosting Cross-lingual Transfer via Self-learning with Uncertainty Estimation

    It Is Not As Good As You Think!

    A Generative Framework for Simultaneous Machine Translation

    Controlling Machine Translation for Multiple Attributes with Additive Interventions

    BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation

    Multilingual Unsupervised Neural Machine Translation with Denoising Adapters

    Indonesian livetweets

    Disentangling Representations of Text by Masking Transformers

    Aligning Faithful Interpretations with their Social Attributes

    How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?

    Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles

    Multi-domain Multilingual Question Answering

    IndoNLI: A Natural Language Inference Dataset for Indonesian

    MindCraft: Theory of Mind Modelling for Situated Dialogue in Collaborative Tasks

    UNKs Everywhere: Adapting Multilingual Language Models to New Scripts

    Finally, here is an interesting selection by Iftitahu Nimah



    Nedjma Ousidhoum is a postdoc at the University of Cambridge.
    Nedjma Ousidhoum is a postdoc at the University of Cambridge.

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