EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes

1 code implementation • SEMEVAL 2020 • Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Sch{\"u}tze

This paper describes EmbLexChange, a system introduced by the {``}Life-Language{''} team for SemEval-2020 Task 1, on unsupervised detection of lexical-semantic changes.

Unsupervised Embedding-based Detection of Lexical Semantic Changes

no code implementations • 16 May 2020 • Ehsaneddin Asgari, Christoph Ringlstetter, Hinrich Schütze

This paper describes EmbLexChange, a system introduced by the "Life-Language" team for SemEval-2020 Task 1, on unsupervised detection of lexical-semantic changes.

UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages

no code implementations • LREC 2020 • Ehsaneddin Asgari, Fabienne Braune, Benjamin Roth, Christoph Ringlstetter, Mohammad R. K. Mofrad

We introduce a method called DomDrift to mitigate the huge domain mismatch between Bible and Twitter by a confidence weighting scheme that uses domain-specific embeddings to compare the nearest neighbors for a candidate sentiment word in the source (Bible) and target (Twitter) domain.

Sentiment Analysis Unsupervised Domain Adaptation

A Lexicalized Tree Kernel for Open Information Extraction

no code implementations • IJCNLP 2015 • Ying Xu, Christoph Ringlstetter, Mi-Young Kim, Grzegorz Kondrak, R. Goebel, y, Yusuke Miyao

Entity Extraction using GAN Open Information Extraction +2