[PDF] Top 20 Entity Retrieval via Entity Factoid Hierarchy
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Entity Retrieval via Entity Factoid Hierarchy
... TREC Entity, both our models outperform the baseline ...our retrieval model relies on the as- sumption that verbose queries can be decomposed into multiple ... See full document
10
Extended Named Entity Hierarchy
... The tagging of Named Entities (NE), the names of particular things or classes and numeric expressions, is regarded as an important component technology for many NLP applications. These applications include Information ... See full document
7
No Need to Pay Attention: Simple Recurrent Neural Networks Work!
... with entity words ...named entity recognition (Lu et ...a retrieval engine (Rao et ...first-order factoid ques- tions can be represented by an entity and a relation type, and the answer ... See full document
7
Learning Entity Representation for Entity Disambiguation
... Another line of work focuses on collective dis- ambiguation (Kulkarni et al., 2009; Han et al., 2011; Ratinov et al., 2011; Hoffart et al., 2011). Ambiguous mentions within the same context are resolved simultaneously ... See full document
5
Robust Entity Clustering via Phylogenetic Inference
... We adopt a “phylogenetic” generative model of coreference. The basic insight is that coreference is created when an author thinks of an entity that was mentioned earlier in a similar context, and men- tions it ... See full document
11
The Rejection of the Separate Entity Rule Validates the Separate Entity Rule
... The Rejection of the Separate Entity Rule Validates the Separate Entity Rule SMU Law Review Volume 65 | Issue 4 Article 9 2012 The Rejection of the Separate Entity Rule Validates the Separate Entity R[.] ... See full document
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Mirizzi syndrome: A rare entity
... Mirizzi syndrome, being rare entity, is also a one of the cause of obstructive jaundice. It is first described by Kehr and Ruge in 1905 and 1908 respectively but got recognition in 1948 when Argentinansurgeon ... See full document
5
Knowledge Based Systems Text Analysis
... Some entity linking systems try to leverage the whole Web information to identify candidate entities via Web search engines (such as ...the entity mention together with its short context to the ... See full document
5
An Entity Topic Model for Entity Linking
... We compared our method with all the above five baselines. For our method, we estimate the global knowledge using all the articles in the Jan. 30, 2010 English version of Wikipedia, and totally there were 3,083,158 ... See full document
11
Ranking Algorithms for Named Entity Extraction: Boosting and the VotedPerceptron
... in this context! The decision which effectively cre- ated the entity University for was the decision to tag for as C, and this has already been made. The inde- pendence assumptions in maximum-entropy taggers of ... See full document
8
Verb centered Sentiment Inference with Description Logics
... We introduce description logics as a means to carry out sentiment inferences triggered by some verbs on their seman- tic roles. Verbs might impose polar ef- fects on some roles, but also have polar expectations on other ... See full document
6
Neural Fine Grained Entity Type Classification with Hierarchy Aware Loss
... Fine-grained Entity Type Classification (FETC) aims at labeling entity mentions in context with one or more specific types organized in a hier- archy ...2002), entity linking (Lin et ...and ... See full document
10
A Joint Named Entity Recognizer for Heterogeneous Tag sets Using a Tag Hierarchy
... In the input hierarchy DAG, each node repre- sents some semantic role of words in sentences, (e.g. ‘Name’). A directed edge c → d implies that c is a hyponym of d, meaning c captures a subset of the semantics of ... See full document
11
Exploring Entity Relations for Named Entity Disambiguation
... information retrieval tasks. The goal of Named Entity Disambiguation (NED) is to label a surface form denoting an NE in text with one of multiple predefined NEs from a knowledge base (KB), or to detect that ... See full document
6
Extending the Entity Grid with Entity Specific Features
... Since its initial appearance (Lapata and Barzilay, 2005; Barzilay and Lapata, 2005), the entity grid has been used to perform wide variety of tasks. In addition to its rst proposed application, sentence ordering ... See full document
5
Language Independent Named Entity Analysis Using Parallel Projection and Rule Based Disambiguation
... We have not had sufficient time to perform an in-depth analysis of the data. One reason for low performance on ORG and MISC classes may be that these entity mentions contain more words on average than PER and LOC ... See full document
5
AIDArabic A Named Entity Disambiguation Framework for Arabic Text
... Such a dictionary is essential for all further pro- cessing we do over YAGO3 to enrich the Arabic knowledge base using the English one. It is worth noting here, that this dictionary is completely au- tomatically ... See full document
9
Enhancing Retrieval of Geological Text using Named Entity Disambiguation
... We have presented a study on evaluation and comparison of different retrieval algorithms on a Geological corpus. We proposed a Co-occurrence graph based method of query expansion with place disambiguation. We ... See full document
10
Knowledge Enhanced Contextual Word Representations
... into entity linkers can be a power- ful signal, so we optionally allow for the candi- date selector to return an associated prior proba- bility for each entity ...NULL entity to each candidate list, ... See full document
12
Analysing entity context in multilingual Wikipedia to support entity centric retrieval applications
... support entity-centric retrieval ...language-specific entity aspects in the document collection; and (ii) targeted retrieval of entity-centric information in a specific language ...this ... See full document
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