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.
1 code implementation • ACL 2019 • Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube
To address this problem, minimum spans are manually annotated in smaller corpora.
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.
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.
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.
Ranked #1 on Abstract Anaphora Resolution on The ARRAU Corpus