Uncertainty-Aware Encoder (Findings of EMNLP 2021)

Research code for EMNLP 2021 Paper "Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models"

This repository contains the dataset and codes for the task of Morality Frames prediction in political tweets using Relational Learning. This work is published as a paper - "Identifying Morality Frames in Political Tweets using Relational Learning" (EMNLP'2021).

This repository is for the paper Counterfactual Adversarial Learning with Representation Interpolation. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 4809–4820, Punta Cana, Dominican Republic. Association for Computational Linguistics.

Repository supporting an accepted paper at EMNLP 2021 on contrastive refinement.

Code for the article "Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning", Outstanding Paper at EMNLP2021

Matching The Statements: A Simple and Accurate Model for Key Point Analysis (ArgMining | EMNLP 2021)

Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021

Repository supporting an accepted paper at EMNLP 2021 on attention contrastive learning.

Repository for "Uncertainty-Aware Machine Translation Evaluation", accepted to Findings of EMNLP 2021.

EMNLP2021 - DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer

Repository for "Uncovering the Limits of Text-based Emotion Detection", — Findings of EMNLP, 2021

Research code and scripts used in the Silburt et al. (2021) EMNLP 2021 paper 'FANATIC: FAst Noise-Aware TopIc Clustering'

source code of our RaNet in EMNLP 2021

Code to reproduce the results of the paper 'Towards Realistic Few-Shot Relation Extraction' (EMNLP 2021)

A monolingual and cross-lingual meta-embedding generation and evaluation framework

Code for paper Document-Level Paraphrase Generation with Sentence Rewriting and Reordering by Zhe Lin, Yitao Cai and Xiaojun Wan. This paper is accepted by Findings of EMNLP'21.

Code of paper Exploring Task Difficulty for Few-Shot Relation Extraction. https://arxiv.org/abs/2109.05473

[EMNLP'21] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.