A semantic matcher is trained using BERT to identify all situations in which witnesses expresses their inability to remember.
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Updated
Aug 20, 2020 - Jupyter Notebook
A semantic matcher is trained using BERT to identify all situations in which witnesses expresses their inability to remember.
Semantic matching algorithm for linking texts with their relevant Medical Subject Headings (MeSH).
Matches JSON-keys and values best effort using translations, synonyms and Levenshtein distance. Also provides value and unit conversion of the associated JSON-values. Part of a Seminar Thesis at the Institute of Enterprise Systems at the University of Mannheim.
Serene Data Integration Platform
A search engine for the curious
Playing around drones with Android's Speech-to-text & Text-to-Speech; Setting up a Wake-up-word other than OK Google, and trying to match converted text to a given Ontology
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
A simple Keras implementation of Paper "Text Matching as Image Recognition"
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search
[ACM-CIKM] 2nd place solution at CIKM AnalytiCup 2018, a task for determining short text similarities.
Tensorflow implementations of various Deep Semantic Matching Models (DSMM).
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
A curated list of papers dedicated to neural text (semantic) matching.
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
FAQ-based Question Answering System
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