Event coreference resolution is a challenging problem since it relies on several components
of the information extraction pipeline that typically yield noisy outputs. We hypothesize that …

Multi-pass sieve approaches have been successfully applied to entity coreference resolution
and many other tasks in natural language processing (NLP), owing in part to the ease of …

The vast majority of existing work on learning-based event coreference resolution has
employed the so-called mentionpair model, which is a binary classifier that determines …

Generic statements such as “ducks lay eggs” make claims about kinds, eg, ducks as a
category. The generic overgeneralization effect refers to the inclination to accept false …

Events are a key semantic component integral to information extraction and natural
language understanding, which can potentially enhance many downstream applications …

Un des principaux pans du traitement automatique des langues (TAL) est l'extraction sous
forme structurée des informations contenues dans un document. Cette extraction est …

«Simultanément s' accrut la possibilité d'accumuler des connaissances, en particulier des
connaissances abstraites, parce que l'écriture modifiait la nature de la communication en …