Awesome Open Source

Programming Languages

Search results for semeval

30 search results found

Ekphrasis ⭐ 583

Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).

Relation Classification Using Bidirectional Lstm Tree ⭐ 183

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

Datastories Semeval2017 Task4 ⭐ 171

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

Knowprompt ⭐ 166

Code and datasets for the WWW2022 paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction."

Ner Evaluation ⭐ 153

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

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

Semantic Texual Similarity Toolkits ⭐ 87

Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.

Semantic Textual Similarity in Python

Ntua Slp Semeval2018 ⭐ 58

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

A Causal Relation Schema for Text

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

Semeval2018 Task12 ⭐ 32

SemEval-2018 Task 12: The Argument Reasoning Comprehension Task

TAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling

Sentimentanalysis ⭐ 22

Sentiment Analysis: Deep Bi-LSTM+attention model

Datastories Semeval2017 Task6 ⭐ 19

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

Quasi Attention Absa ⭐ 18

The codebase for a new quasi-attention BERT model for TABSA tasks

Memnet_absa ⭐ 17

Taxonomy_refinement_embeddings ⭐ 16

Taxonomy refinement method to improve domain-specific taxonomy systems.

Relation Classification ⭐ 16

Relation Classification - SEMEVAL 2010 task 8 dataset

Semantic_relatedness_semeval2024 ⭐ 14

SemEval 2024 Task 1 : Textual Semantic Relatedness

Convolution Neural Network for classification of semantic relations in a sentence

Semeval2022 Task6 Sarcasm Detection ⭐ 11

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.

Sentence Based Sentiment Analysis ⭐ 11

Sentence Based Sentiment Analysis

Semeval2022task3 ⭐ 10

The PreTENS shared task hosted at SemEval 2022 aims at focusing on semantic competence with specific attention on the evaluation of language models with respect to the recognition of appropriate taxonomic relations between two nominal arguments (i.e. cases where one is a supercategory of the other, or in extensional terms, one denotes a superset of the other).

Minimalist Location Metonymy Resolution ⭐ 9

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

Emosense Semeval2019 Task3 Emocontext ⭐ 9

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

Aicyber_semeval_2016_ivector ⭐ 9

Irony_detection ⭐ 7

Code and data used for participation in SemEval-2018 Task 3: "Irony detection in English tweets"

Context Eval ⭐ 6

Tools for Evaluation of Unsupervised Word Sense Disambiguation Systems

Related Searches

Python Semeval (25)

Natural Language Processing Semeval (20)

1-30 of 30 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.