CoNLL 2012
Related Papers
CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes
The CoNLL-2012 shared task involved pre- dicting coreference in English, Chinese, and Arabic, using the final version, v5.0, of the OntoNotes corpus. It was a follow-on to the English-only task …...
Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution
This paper describes a coreference resolution system for CONLL 2012 shared task developed by HLT_HITSZ group, which incorporates rule-based and statistic-based techniques. The system performs coreference resolution through the mention …...
Simple Maximum Entropy Models for Multilingual Coreference Resolution
This paper describes our system participat- ing in the CoNLL-2012 shared task: Mod- eling Multilingual Unrestricted Coreference in Ontonotes. Maximum entropy models are used for our system as classifiers to …...
Machine Learning for Mention Head Detection in Multilingual Coreference Resolution
This work introduces a machine learn- ing approach to the identification of men- tion heads needed for multilingual coref- erence resolution (MCR). We evaluate the method and compare it to …...
Search Space Pruning: A Simple Solution for Better Coreference Resolvers
There is a significant gap between the per- formance of a coreference resolution system on gold mentions and on system mentions. This gap is due to the large and unbalanced …...
Unsupervised Ranking Model for Entity Coreference Resolution
Coreference resolution is one of the first stages in deep language understanding and its impor- tance has been well recognized in the natu- ral language processing community. In this paper, …...
Don’t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
AbstractAn interesting aspect of structured prediction is the evaluation of an output structure against the gold standard. Especially in the loss-augmented setting, the need of finding the max-violating constraint has …...
CorefQA: Coreference Resolution as Query-based Span Prediction
AbstractIn this paper, we present CorefQA, an accurate and extensible approach for the coreference resolution task. We formulate the problem as a span prediction task, like in question answering: A …...
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling
AbstractSemantic role labeling (SRL) is the task of identifying predicates and labeling argument spans with semantic roles. Even though most semantic-role formalisms are built upon constituent syntax, and only syntactic …...
Revealing the Myth of Higher-Order Inference in Coreference Resolution
AbstractThis paper analyzes the impact of higher-order inference (HOI) on the task of coreference resolution. HOI has been adapted by almost all recent coreference resolution models without taking much investigation …...
Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling
AbstractSemantic Role Labeling (SRL) is the task of labeling semantic arguments for marked semantic predicates. Semantic arguments and their predicates are related in various distinct manners, of which certain semantic …...
Coreference Resolution through a seq2seq Transition-Based System
AbstractMost recent coreference resolution systems use search algorithms over possible spans to identify mentions and resolve coreference. We instead present a coreference resolution system that uses a text-to-text (seq2seq) paradigm …...