Corpus ID: 23418116

Overview of MUC-7

  title={Overview of MUC-7},
  author={Nancy A. Chinchor},
The task of Coreference (CO) had its origins in Semeval, an attempt after MUC-5 to define semantic research tasks that needed to be solved to be successful at generating scenario templates. In the MUC evaluations, only coreference of type identity was marked and scored [3]. The following example from MUC-7 (New York Times News Service) illustrates identity coreference between "its" and "The U.K. satellite television broadcaster" as well as that between the function "its subscriber base" and the… Expand
A Light-weight Approach to Coreference Resolution for Named Entities in Text
A lightweight approach to pronoun resolution in the case when the antecedent is named entity is presented and it is shown that even such shallow and inexpensive approaches provide acceptable performance for resolving the pronoun anaphors of named entities in texts. Expand
Semantically Constrained Multilayer Annotation: The Case of Coreference
We propose a coreference annotation scheme as a layer on top of the Universal Conceptual Cognitive Annotation foundational layer, treating units in predicate-argument structure as a basis for entityExpand
A Comparative Mention-Pair Models for Coreference Resolution in DARI Language for Information Extraction
The first Dari corpus (’DariCoref’) is developed based on OntoNotes and WikiCoref scheme, targeting coreference resolution in Dari language, and modifications and comparative models describe a contribution of comprehensive factors involved in the resolution of texts. Expand
A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
The corpus, containing annotations for about 108,000 markables, is one of the largest corpora for coreference for English, and one the largest crowdsourced NLP corpora, but its main feature is the large number of judgments per markable, which makes it a unique resource for the study of disagreements on anaphoric interpretation. Expand
A Knowledge-free Method for Capitalized Word Disambiguation
An approach to the disambiguation of capitalized words when they are used in the positions where capitalization is expected, such as the first word in a sentence or after a period, quotes, etc. Expand
Design and Development of a Named Entity Recognizer for an Agglutinative Language
This paper presents the conclusions reached from the development of a system for Named Entity recognition in written Basque. The system was designed in four steps: first, the development of aExpand
Periods, Capitalized Words, etc.
This approach proved to be robust to domain shifts and new lexica and produced performance on the level with the highest reported results when incorporated into a part-of-speech tagger and helped reduce the error rate significantly on capitalized words and sentence boundaries. Expand
.1 Sentence Boundary Disambiguation
In this paper we present an approach which tackles three problems: sentence boundary disambiguation, disambiguation of capitalized words when they are used in positions where capitalization isExpand
Towards a Balanced Named Entity Corpus for Dutch
A new named entity corpus for Dutch is introduced, adapted from the MUC and ACE guidelines, and a NER system is building, trained on the 1-million-word subcorpus, to automatically classify the remainder of the SoNaR corpus. Expand
An evaluation dataset for the toponym resolution task
A new proposal for the markup of toponyms in text corpora with their referents and an associated tool data methodology are presented: the Toponym Resolution Markup Language (TRML) is an XML-based markup language, and TAME, the toponym annotation markup editor, is a tool that implements it. Expand