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@declare-lab

Deep Cognition and Language Research (DeCLaRe) Lab

Hi! 👋👋

Welcome fellow researchers to the DeCLaRe Lab! We hereby DeCLaRe our quest to breathe cognitive and language skills of human-like depth into machines by solving challenging NLP problems, such as, dialogue comprehension and generation, commonsense reasoning, multimodal understanding, and more. Addressing such open research problems requires powerful, scalable, and data-hungry algorithms. As such, we develop cutting-edge neural models, based on sound linguistic concepts. To know more about our work, please browse our catalog of publications.

And here is our TEAM! 😃

Pinned

  1. This repo contains implementation of different architectures for emotion recognition in conversations.

    Python 1.1k 303

  2. MELD Public

    MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

    Python 588 176

  3. This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at E…

    Python 90 24

  4. This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relati…

    Python 83 10

  5. CICERO Public

    The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich …

    Python 49 3

  6. A comprehensive reading list for Emotion Recognition in Conversations

    212 35

Repositories

  • MSA-Robustness Public

    NAACL 2022 paper on Analyzing Modality Robustness in Multimodal Sentiment Analysis

    Python 17 Apache-2.0 3 0 0 Updated Jan 21, 2023
  • TEAM Public

    Our EMNLP 2022 paper on MCQA

    Python 12 MIT 3 0 0 Updated Jan 15, 2023
  • dialog-HGAT Public

    Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

    Python 47 MIT 15 0 0 Updated Jan 14, 2023
  • SANCL Public

    This is a placeholder repository for the code of the paper SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning (COLING 2022). Code will come soon!

    Python 4 MIT 0 1 0 Updated Jan 14, 2023
  • exemplary-empathy Public

    This repository contains the source codes of the paper -- Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication

    Python 17 MIT 6 3 0 Updated Jan 12, 2023
  • CICERO Public

    The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich in commonsense.

    Python 49 MIT 3 0 4 Updated Dec 27, 2022
  • HyperRED Public

    This repository implements our EMNLP 2022 research paper A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.

    Python 14 2 0 0 Updated Dec 13, 2022
  • RelationPrompt Public

    This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data …

    Python 83 MIT 10 1 1 Updated Dec 1, 2022
  • conv-emotion Public

    This repo contains implementation of different architectures for emotion recognition in conversations.

    Python 1,056 MIT 303 7 0 Updated Nov 28, 2022
  • RECCON Public

    This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

    Python 129 26 1 1 Updated Nov 26, 2022

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