SOTAVerified

An automatic discourse relation alignment experiment on TED-MDB

2019-08-01WS 2019Unverified0· sign in to hype

Sibel Ozer, Deniz Zeyrek

Unverified — Be the first to reproduce this paper.

Reproduce

Abstract

This paper describes an automatic discourse relation alignment experiment as an empirical justification of the planned annotation projection approach to enlarge the 3600-word multilingual corpus of TED Multilingual Discourse Bank (TED-MDB). The experiment is carried out on a single language pair (English-Turkish) included in TED-MDB. The paper first describes the creation of a large corpus of English-Turkish bi-sentences, then it presents a sense-based experiment that automatically aligns the relations in the English sentences of TED-MDB with the Turkish sentences. The results are very close to the results obtained from an earlier semi-automatic post-annotation alignment experiment validated by human annotators and are encouraging for future annotation projection tasks.

Tasks

Reproductions