ThaiLMCut: Unsupervised Pretraining for Thai Word Segmentation

1 code implementation • LREC 2020 • Suteera Seeha, Ivan Bilan, Liliana Mamani Sanchez, Johannes Huber, Michael Matuschek, Hinrich Sch{\"u}tze

We propose ThaiLMCut, a semi-supervised approach for Thai word segmentation which utilizes a bi-directional character language model (LM) as a way to leverage useful linguistic knowledge from unlabeled data.

Language Modelling Segmentation +1

High Performance Word Sense Alignment by Joint Modeling of Sense Distance and Gloss Similarity

no code implementations • COLING 2014 • Michael Matuschek, Iryna Gurevych

Semantic Role Labeling Word Sense Disambiguation

Dijkstra-WSA: A Graph-Based Approach to Word Sense Alignment

no code implementations • TACL 2013 • Michael Matuschek, Iryna Gurevych

In this paper, we present Dijkstra-WSA, a novel graph-based algorithm for word sense alignment.

Semantic Parsing Semantic Role Labeling +1

UBY-LMF -- A Uniform Model for Standardizing Heterogeneous Lexical-Semantic Resources in ISO-LMF

no code implementations • LREC 2012 • Judith Eckle-Kohler, Iryna Gurevych, Silvana Hartmann, Michael Matuschek, Christian M. Meyer

We present UBY-LMF, an LMF-based model for large-scale, heterogeneous multilingual lexical-semantic resources (LSRs).

Semantic Role Labeling Word Sense Disambiguation

The Open Linguistics Working Group

no code implementations • LREC 2012 • Christian Chiarcos, Sebastian Hellmann, Sebastian Nordhoff, Steven Moran, Richard Littauer, Judith Eckle-Kohler, Iryna Gurevych, Silvana Hartmann, Michael Matuschek, Christian M. Meyer

This paper describes the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN).

UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF

no code implementations • EACL 2012 • Iryna Gurevych, Judith Eckle-Kohler, Silvana Hartmann, Michael Matuschek, Christian M. Meyer, Christian Wirth

Question Answering Semantic Role Labeling +1