Popular GitHub Repositories for Semeval

? A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity

[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

Code for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension

Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Example Recurrent Neural Networks for Sentiment Analysis (Aspect-Based) on SemEval 2014

Sentiment Analysis: Deep Bi-LSTM+attention model

AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/

The Codebase for Quasi-Attention BERT Model for TABSA Tasks (AAAI '21)

Hierarchical Attention for Dialogue Emotion Classification (SemEval, NAACL)

一款适用于笔记本电脑的工具包，用于上下文感知的单字释义和词汇替换基准测试

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

The repository for ACL 2023 paper "Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations", and SemEval@ACL 2023 paper "UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis"

In this work (Targeted) Aspect-Based Sentiment Analysis task is converted to a sentence-pair classification task and a pre-trained BERT model is fine-tuned on it.

Deep-learning system presented in "EmoSence at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations" at SemEval-2019.