Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

A curated list of pylint errors with explanation and examples

An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English

Extracting useful metadata from Wikipedia dumps in any language.

Repository hosting the common code for the entity-fishing clients

An End-to-End Evaluation Framework for Entity Resolution Systems

SAGE disambiguates protocol description in an IETF RFC document, then converts the disambiguated protocol description into executable protocol implementation.

Deduplication of author names in the literature.

Projects in Machine Learning ETH team trying to use mechanical turk and active learning for solving word-sense disambiguation task

LAGOS-AND: A Large Gold Standard Dataset for Scholarly Author Name Disambiguation

Curated list of awesome software and resources for Senzing, The First Real-Time AI for Entity Resolution.

The project proposes a novel design for Disambiguation based chording keyboard for blinds. Results also state that there is an optimum number of words to be included in the corpus which would benefit the users by not increasing his cognitive toll. Empirically, we have found that for the Swarachakra Hindi corpus of 10,000 words, the prediction is…

UDAR Does Accented Russian: A finite-state morphological analyzer of Russian that handles stressed wordforms.

Word sense disambiguation project that uses a wikipedia dump and discovers relationship with a graph. Cooked with python microservices, neo4j, elasticsearch

Evaluation and benchmarking of PatentsView disambiguation algorithms

Disambiguation of wikipedia article name

Wikipedia Entities Lexicon Extractor

Disambiguation for Yiddish

Combining Linking Techniques (CLiT) is an entity linking combination and execution framework, allowing for the seamless integration of EL systems and result exploitation for the sake of system reusability, result reproducibility, analysis and continuous improvement. (We hate waste. Especially wasting time. So let's reuse instead!)

Disambiguating terms in social media using the Naive-Bayes algorithm.