[PDF] Top 20 Corpus Based Learning for Noun Phrase Coreference Resolution
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Corpus Based Learning for Noun Phrase Coreference Resolution
... In Proceedings of the ACL Workshop on Operational Factors in Prac- tical, Robust Anaphora Resolution for Unre- stricted Texts, pages 14-21... John Ross Quinlan.[r] ... See full document
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The Extended DIRNDL Corpus as a Resource for Coreference and Bridging Resolution
... all based on Pierrehumbert, 1980) – is well accepted and widely used when describing ...a phrase as being more prominent than others, and bound- ary tones, which mark the tonal phrasing of the ... See full document
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Learning Noun Phrase Anaphoricity to Improve Conference Resolution: Issues in Representation and Optimization
... Global optimization for a constraint-based rep- resentation. We view anaphoricity determination as a problem of determining how conservative an anaphoricity model should be in classifying an NP as (non-)anaphoric. ... See full document
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Supervised Noun Phrase Coreference Research: The First Fifteen Years
... on learning-based coreference resolution was pub- lished (Connolly et ...leading coreference researchers have published books ...discuss learning-based coref- erence ... See full document
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A Coreference Corpus and Resolution System for Dutch
... Coreference resolution is a key ingredient for the automatic interpretation of ...between noun phrases in ...are corpus-based and require the availability of a sufficient amount of ... See full document
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Coreference Resolution with Reconcile
... several noun phrase coref- erence resolution data sets as well as several for- mal evaluations on the task, it remains frustratingly difficult to compare results across different corefer- ence ... See full document
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Extracting Bacteria Biotopes with Semi supervised Named Entity Recognition and Coreference Resolution
... Coreference resolution is the process of determin- ing whether different nominal phrases are used to refer to the same real world entity or ...the learning method de- scribed in Soon and Ng ... See full document
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Tibetan Base Noun Phrase Identification Framework Based on Chinese Tibetan Sentence Aligned Corpus
... additional phrase types for the CoNLL-2000 shared task (Sang and Buchholz, 2000), which is the standard evaluation task for shallow parsing ...Machine learning methods, and among them, the most ... See full document
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Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State of the Art
... in learning-based coreference resolution research — possibly because there is not much training data available to sacrifice as a validation ... See full document
9
Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation
... Coreference resolution, the task of determining which noun phrases (NPs) in a text refer to the same real-world entity, has long been considered an important and difficult problem in natural language ... See full document
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Phrase Structures and Dependencies for End to End Coreference Resolution
... machine learning paradigm with powerful feature selection, the relevant notions may be hard to pick ...machine learning – even though it is in principle possible to derive these notions from the syntax ... See full document
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Error Analysis for Learning-based Coreference Resolution
... omitted. Coreference links between a full and an ab- breviated version of the same name are under-represented in our training corpus and therefore the learners cannot re- liably extract ... See full document
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Chinese Noun Phrase Coreference Resolution: Insights into the State of the Art
... our coreference algorithm is superior to the MP model because we do not know which component(s) of our resolver ...computation, resolution) contributed to the ...our resolution method is better than ... See full document
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Active Learning for Coreference Resolution
... is based on a model that each instance takes a con- stant amount of time to ...like coreference is that there is a constant amount of time required for read- ing and understanding the context of a document, ... See full document
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End to end Deep Reinforcement Learning Based Coreference Resolution
... To avoid the cascading errors of pipeline sys- tems, recent NLP researchers have developed end- to-end approaches (Lee et al., 2017; Luan et al., 2018; Lee et al., 2018; Zhang et al., 2018), which directly consider all ... See full document
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Phrase Detectives Corpus 1 0 Crowdsourced Anaphoric Coreference
... scalability. Phrase Detectives Corpus 1.0 is an anaphorically-annotated corpus of encyclopedic and narrative text that contains a gold standard created by multiple experts, as well as a set of ... See full document
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WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
... for coreference resolution, such as (Prad- han et ...pronoun resolution) are ...pronoun resolution datasets have been introduced (Webster et ... See full document
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High precision Identification of Discourse New and Unique Noun Phrases
... However, such a pre-filtering can also decrease the system’s performance if too many anaphoric NPs are classified as discourse new: as those NPs are not processed by the main coreference resolution module ... See full document
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Active Learning for Coreference Resolution
... Coreference resolution (CR) – the task of determin- ing if two expressions in natural language text re- fer to the same real-world entity – is an important NLP ...tive learning (AL) is a technique ... See full document
5
Learning Probabilistic Synchronous CFGs for Phrase Based Translation
... In a sense, the real baseline to which we might compare against should be a system employing the MLE estimate for the grammar extracted from the whole training corpus. However, as we have al- ready discussed, this ... See full document
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