Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Carries out syntactic parsing on plain text Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), OpenNLP Tokenizer (Apache), STEPP Tagger (University of Manchester), ...
PhenoCHF is an annotated corpus consisting of documents belonging to two different text types (i.e., narrative reports from electronic health records (EHRs) and literature articles). It is manually annotated by medical doctors with detailed information relating to mentions of phenotype concepts a...
Datasets is arff format (for Weka machine learning software) are made available to reproduce the validation experiments presented in the paper.
Dundee GCG-Bank contains hand-corrected deep syntactic annotations for the Dundee eye-tracking corpus (Kennedy et al., 2003). The annotations are designed to support psycholinguistic investigation into the structural determinants of sentence processing effort. Dundee GCG-Bank is distributed as a ...
This is a UIMA wrapper for the OpenNLP Tokenizer tool. It assigns part-of-speech tags to tokens in English text. The tagset used in from the Penn Treebank). The tool forms part of the in-built library of components provided with the U-Compare platform (Kano et al., 2009; Kano et al., 2011; see se...
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. ...
Tokenisation is one of the functionalities of the GENIA tagger, which additionally outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts. The tool is a UIMA component, which forms part of th...
This resource includes the distributional semantic vectors used for the replication of the TakeLab system (https://github.com/nlx-group/arct-rep-rev). The TakeLab system is an automatic classifier for the Argument Reasoning Comprehension Task (https://www.aclweb.org/anthology/S18-1121/). The ...
The GENIA tagger analyzes English sentences and outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts.
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies biomedical named entities (genes and proteins) in plain text. Also identifies sentences. Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), NEMine (Univ...