Paradigmatic term clusters in multiple languages - a resource for evaluating word spaces and word embeddings
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Updated
Jan 14, 2019 - Python
Paradigmatic term clusters in multiple languages - a resource for evaluating word spaces and word embeddings
Identify whether the given question pair is duplicate or not using Quora Question Dataset.
A python search engine build with NLP methods for a django project
Appunti del corso di Gestione dell'Informazione - Information Retrieval and Management. UniMoRe. 2023-2024.
Identify duplicate pair of questions to save readers and writers time on Quora
Gradio Space for HuggingFace for Outcome switching detection between clinical trial articles and clinicaltrials.gov registry
About App to compare state-of-the-art models for semantic clustering task
A news headline generator finetuned on T5-base.
cross-lingual matrix factorization using ALS
A framework for word embedding evaluation automation and visualization.
In this demo, we illustrate the the possibility of using Semantic Search + Recognising Textual Entailment with Gradio to build an automated fact checking tool
Search engine with JS and Flask-API
Implementing and fine-tuning BERT for sentiment analysis, paraphrase detection, and semantic textual similarity tasks. Includes code, data, and detailed results.
Neurofuzzy Semantic Similarity Measurement
Gold standard resource for evaluation of Danish word embedding models.
Extract Sentence Embeddings from Hugging Face pre-trained models.
Multilingual Long-Text Semantic Simularity
Review of output of semantic similarity in Natural Language Processing (NLP) to analyse and see how it works.
Transfer learning for semantic similarity measures based on symbolic regression
Estimate similarity of medical concepts based on Unified Medical Language System (UMLS)
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