Domain-specific vs. Uniform Modeling for Coreference Resolution

no code implementations • LREC 2012 • Olga Uryupina, Massimo Poesio

Several corpora annotated for coreference have been made available in the past decade.

coreference-resolution Domain Adaptation +1

CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes

no code implementations • WS 2012 • Sameer Pradhan, Aless Moschitti, ro, Nianwen Xue, Olga Uryupina, Yuchen Zhang

Coreference Resolution

BART goes multilingual: The UniTN / Essex submission to the CoNLL-2012 Shared Task

no code implementations • WS 2012 • Olga Uryupina, Aless Moschitti, ro, Massimo Poesio

Coreference Resolution

Towards Robust Linguistic Analysis using OntoNotes

no code implementations • WS 2013 • Sameer Pradhan, Aless Moschitti, ro, Nianwen Xue, Hwee Tou Ng, Anders Bj{\"o}rkelund, Olga Uryupina, Yuchen Zhang, Zhi Zhong

Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language

no code implementations • IJCNLP 2013 • Utpal Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio

Coreference Resolution Text Summarization

Multilingual Mention Detection for Coreference Resolution

no code implementations • IJCNLP 2013 • Olga Uryupina, Aless Moschitti, ro

coreference-resolution Relation Extraction

SenTube: A Corpus for Sentiment Analysis on YouTube Social Media

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.

Document Classification Informativeness +3

Opinion Mining on YouTube

no code implementations • ACL 2014 • Aliaksei Severyn, Aless Moschitti, ro, Olga Uryupina, Barbara Plank, Katja Filippova

Opinion Mining

A State-of-the-Art Mention-Pair Model for Coreference Resolution

no code implementations • SEMEVAL 2015 • Olga Uryupina, Aless Moschitti, ro

coreference-resolution Feature Engineering

ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions

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.

LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform

no code implementations • ACL 2016 • Olga Uryupina, Barbara Plank, Gianni Barlacchi, Francisco J. Valverde Albacete, Manos Tsagkias, Antonio Uva, Aless Moschitti, ro

Collaborative Partitioning for Coreference Resolution

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.

coreference-resolution

Anaphora Resolution with the ARRAU Corpus

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).

Supervised Clustering of Questions into Intents for Dialog System Applications

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.

Chatbot Clustering +3