[PDF] Top 20 Person Cross Document Coreference with Name Perplexity Estimates
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Person Cross Document Coreference with Name Perplexity Estimates
... same name, the accuracy of the system has ...a person that is very often men- tioned, and few other persons having few men- tions; when the number of clusters is passed in the input, the clusters ... See full document
10
Experiments on Semantic based Clustering for Cross document Coreference
... Full Document (FD) condition means that the whole document was used for extracting terms for vector creation; Person Sum- mary (PS) means that sentences containing the target person ... See full document
8
Cross document Event Coreference Resolution based on Cross media Features
... Each news video story typically starts with an introduction by an anchor person followed by news footages showing the visual scenes or activ- ities of the event. Therefore, when computing vi- sual similarity, it’s ... See full document
6
Cross Document Coreference on a Large Scale Corpus
... of cross-document coreference resolution on a modified version of the person-x ...of cross- document coreferencing more challenging than in reality when performed on actual ... See full document
8
CROMER: a Tool for Cross-Document Event and Entity Coreference
... to coreference has been criticized for mixing anaphora with other coreference phenomena [van Deemter and Kibble, ...intra-document coreference by grouping all mentions of the same entity, be ... See full document
5
Enhancing Cross Document Coreference of Web Documents with Context Similarity and Very Large Scale Text Categorization
... web person resolution system called WebHawk, which extracted several attributes such as title, organization, email and phone number using ...Web Person Search (WePS) task (Artiles et ...a name search ... See full document
9
Profile Based Cross Document Coreference Using Kernelized Fuzzy Relational Clustering
... a person resolution system WebHawk that clusters web pages using some extracted personal information including person name, title, organization, email and phone number, besides lexical ... See full document
9
Large Scale Cross Document Coreference Using Distributed Inference and Hierarchical Models
... The dataset is created as follows: First, we crawl the web and select hyperlinks on webpages that link to an English Wikipedia page. 2 The anchors of these links form our set of mentions, with the sur- rounding block of ... See full document
11
Solving the “Who’s Mark Johnson Puzzle”: Information Extraction Based Cross Document Coreference
... the coreference performance changes with the number of entities per name (which can be viewed as the ambiguity level of a data ...particular name (with only one underlying referent) that appears to ... See full document
6
Dynamic Parameters for Cross Document Coreference
... relevant coreference context is a dynamic variable which depends on the diversity of the corpus, that is, on how many different per- sons with the same name share a similar ...the name distribu- tion ... See full document
9
Weakly Supervised Learning for Cross document Person Name Disambiguation Supported by Information Extraction
... same name. In tracking person entities in a large document pool, it is important to determine whether multiple mentions of the same name across documents refer to the same entity or ...entity ... See full document
8
Streaming Cross Document Entity Coreference Resolution
... Gooi and Allan (2004) expanded on the use of pseudonames by semi-automatically creating a much larger evaluation set, which they called the ’Person-X’ corpus. They relied on automated named-entity tagging and ... See full document
9
Knowledge Base Population: Successful Approaches and Challenges
... a person or some type of or- ...the name of the entity, its type (person or organization), a background document containing the name (again, to disambiguate the query in case there are ... See full document
11
Revisiting Joint Modeling of Cross document Entity and Event Coreference Resolution
... within- document entity coreference, with rather lit- tle attention to the other ...for cross-document coreference ...event coreference model on ECB+, while providing the first ... See full document
11
A Concrete Chinese NLP Pipeline
... document. Quicklime supports a wide array of ana- lytics, including parse trees, token taggings, entities, mentions, and “situations” (e.g. relations.) Quick- lime uses the visualization layer of BRAT (Stenetorp ... See full document
5
Explore Person Specific Evidence in Web Person Name Disambiguation
... web person name disambiguation task and propose a topic-based model which exploits corpus level person specific evidences to handle the data spar- sity challenges, especially the case that limited ... See full document
11
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach
... the cross-domain knowledge to aid coref- erence resolution ...labeled coreference labels are ...without cross-domain knowledge learn- ...the document-specific prediction and automatically ad- ... See full document
10
Person Name Disambiguation based on Topic Model
... However, there is a high level of ambiguity where multiple individuals share the same name and thus the harvesting and the retrieval of relevant information becomes more difficult. This ambiguity has recently ... See full document
8
USHEF and USAAR USHEF participation in the WMT15 QE shared task
... Our approach focuses on extracting various fea- tures and building models with different combina- tion of these features. Two feature selection ap- proaches are considered. The first one is based on Random Forests and ... See full document
6
A Two stage Sieve Approach for Quote Attribution
... ously developed tools were either not designed for the task (BRAT (Stenetorp et al., 2012), WebAnno (Yimam et al., 2013), CHARLES (Vala et al., 2016)) or unavailable (He et al., 2013). One problem with the CQSC ... See full document
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