Sentiment Analysis in Twitter Summary This will be a rerun of SemEval-2016 Task 4 with several changes

Tools for Evaluation of Unsupervised Word Sense Disambiguation Systems

Semantic Textual Similarity in Python

A Minwise Hashing Method for Addressing Relationship Extraction from Text

Crowdsourced Annotation Tool for Twitter Sentiment

Convolution Neural Network for classification of semantic relations in a sentence

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

SemEval-2017 Task 2 (subtask 1), supplemental material

word aligner for sentence similarity

Dependency graph stats and AMR paper

The code and data accompanying the ACL 2017 "outstanding award" publication "Vancouver Welcomes You! Minimalist Location Metonymy Resolution"

SemEval-2018 Task 12: The Argument Reasoning Comprehension Task

Sentence Based Sentiment Analysis

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

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

Research material pertaining to SemEval Task 8: Rumour Detection

Contextual Emotion Detection in Text