Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies paragraphs in plain text Tools in workflow: MLRS Paragraph Splitter (University of Malta) NOTE: The licence provided covers the web service only. Tools used to create the workf...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies NP chunks in plain text. Also carries out sentence splitting, tokenisation and POS tagging Tools in workflow: MLRS Sentence Splitter (University of Malta), UAIC-POSTagger, UAIC-...
This inventory contains a set of terms that are relevant to the study of medical history. The inventory is organised as a set of "heading terms", belonging to one of seven different semantic categories, each of which is accompanied by a set of semantically-related terms. There are around 175,0...
Automatically generated corpus of 98,818 graph/string pairs.
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies co-reference chains in plain text. Also identifies sentences, tokens with parts-of-speech and lemmas, and NP chunks Tools in workflow: TTL-Tokenizer (RACAI, Romania), TTL-Tagger...
This is a UIMA wrapper for the OpenNLP Sentence Detector tool. It splits English text into individual sentences. The tool forms part of the in-built library of components provided with the U-Compare platform (see separate META-SHARE record) for building and evaluating text mining workflows. ...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies sentences in plain text Tools in workflow: Freeling sentence splitter web service (service provided by the PANACEA project) NOTE: The licence provided covers the web service o...
The Complex Word (CW) Corpus contains 731 sentences each with one annotated CW. These simplifications were mined from Simple Wikipedia edit histories. Each entry gives an example of a sentence requiring simplification by means of a single lexical edit. This resource is primarily designed for t...
Yake! (Campos et al. 2020) is a novel feature-based system for multi-lingual keyword extraction, which supports texts of different sizes, domain or languages. Unlike most of the systems, Yake! does not rely on dictionaries nor thesauri, neither is trained against any corpora. Instead, we follow a...