no code implementations • SEMEVAL 2021 • Jennifer D{'}Souza, S{\"o}ren Auer, Ted Pedersen
The phrase-level annotations were scientific term and predicate phrases from the contribution sentences.
no code implementations • Joint Conference on Lexical and Computational Semantics 2020 • Isaiah Onando Mulang{'}, Jennifer D{'}Souza, S{\"o}ren Auer
Explanation generation introduced as the world tree corpus (Jansen et al., 2018) is an emerging NLP task involving multi-hop inference for explaining the correct answer in multiple-choice QA.
no code implementations • WS 2019 • Jennifer D{'}Souza, Isaiah On Mulang{'}, o, S{\"o}ren Auer
The TextGraphs 2019 Shared Task on Multi-Hop Inference for Explanation Regeneration (MIER-19) tackles explanation generation for answers to elementary science questions.
no code implementations • LREC 2014 • Jennifer D{'}Souza, Vincent Ng
Our goals in this paper are to (1) manually annotate certain types of missing links that cannot be automatically recovered in the i2b2 Clinical Temporal Relations Challenge Corpus, one of the recently released evaluation corpora for temporal relation extraction; and (2) empirically determine the usefulness of these additional annotations.