Search Results for author: Leo Born

Found 5 papers, 2 papers with code

Dataset Reproducibility and IR Methods in Timeline Summarization

no code implementations LREC 2020 Leo Born, Maximilian Bacher, Katja Markert

We therefore construct event-specific corpora from a large static background corpus, the newsroom dataset, using differing, relatively simple IR methods based on raw text alone.

Sentence Timeline Summarization

Induction of a Large-Scale Knowledge Graph from the Regesta Imperii

no code implementations COLING 2018 Juri Opitz, Leo Born, Vivi Nastase

We induce and visualize a Knowledge Graph over the Regesta Imperii (RI), an important large-scale resource for medieval history research.

Using a Graph-based Coherence Model in Document-Level Machine Translation

no code implementations WS 2017 Leo Born, Mohsen Mesgar, Michael Strube

Although coherence is an important aspect of any text generation system, it has received little attention in the context of machine translation (MT) so far.

Document Level Machine Translation Machine Translation +2

A Mention-Ranking Model for Abstract Anaphora Resolution

1 code implementation EMNLP 2017 Ana Marasović, Leo Born, Juri Opitz, Anette Frank

We found model variants that outperform the baselines for nominal anaphors, without training on individual anaphor data, but still lag behind for pronominal anaphors.

Abstract Anaphora Resolution Representation Learning +1

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