Predicting Informativeness of Semantic Triples

no code implementations • RANLP 2021 • Judita Preiss

Many automatic semantic relation extraction tools extract subject-predicate-object triples from unstructured text.

Informativeness Relation Extraction

HiDE: a Tool for Unrestricted Literature Based Discovery

no code implementations • COLING 2018 • Judita Preiss, Mark Stevenson

We introduce HiDE (Hidden Discovery Explorer), an online knowledge browsing tool which allows fast access to hidden knowledge generated from all abstracts in Medline.

Seeking Informativeness in Literature Based Discovery

no code implementations • WS 2014 • Judita Preiss

Informativeness

Unsupervised Domain Tuning to Improve Word Sense Disambiguation

no code implementations • NAACL 2013 • Judita Preiss, Mark Stevenson

Word Sense Disambiguation

DALE: A Word Sense Disambiguation System for Biomedical Documents Trained using Automatically Labeled Examples

no code implementations • NAACL 2013 • Judita Preiss, Mark Stevenson

Word Sense Disambiguation

Distinguishing Common and Proper Nouns

no code implementations • SEMEVAL 2013 • Judita Preiss, Mark Stevenson

Machine Translation Sentiment Analysis +2

University\_Of\_Sheffield: Two Approaches to Semantic Text Similarity

no code implementations • SEMEVAL 2012 • Sam Biggins, Shaabi Mohammed, Sam Oakley, Luke Stringer, Mark Stevenson, Judita Preiss

Information Retrieval Natural Language Inference +3

Identifying Comparable Corpora Using LDA

no code implementations • NAACL 2012 • Judita Preiss

Language Modelling Machine Translation +3

Scaling up WSD with Automatically Generated Examples

no code implementations • WS 2012 • Weiwei Cheng, Judita Preiss, Mark Stevenson

Word Sense Disambiguation