no code implementations • EMNLP 2018 • Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina, Aless Moschitti, ro
Modern automated dialog systems require complex dialog managers able to deal with user intent triggered by high-level semantic questions.
no code implementations • CONLL 2017 • Olga Uryupina, Aless Moschitti, ro
This paper presents a collaborative partitioning algorithm{---}a novel ensemble-based approach to coreference resolution.
no code implementations • WS 2018 • Massimo Poesio, Yulia Grishina, Varada Kolhatkar, Nafise Moosavi, Ina Roesiger, Adam Roussel, Fabian Simonjetz, Alex Uma, ra, Olga Uryupina, Juntao Yu, Heike Zinsmeister
The most distinctive feature of the corpus is the annotation of a wide range of anaphoric relations, including bridging references and discourse deixis in addition to identity (coreference).
no code implementations • LREC 2014 • Olga Uryupina, Barbara Plank, Aliaksei Severyn, Agata Rotondi, Aless Moschitti, ro
In this paper we present SenTube -- a dataset of user-generated comments on YouTube videos annotated for information content and sentiment polarity.
no code implementations • LREC 2012 • Olga Uryupina, Massimo Poesio
Several corpora annotated for coreference have been made available in the past decade.
no code implementations • LREC 2016 • Olga Uryupina, Ron artstein, Antonella Bristot, Federica Cavicchio, Kepa Rodriguez, Massimo Poesio
This paper presents a second release of the ARRAU dataset: a multi-domain corpus with thorough linguistically motivated annotation of anaphora and related phenomena.