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[PDF] Top 20 Entity Set Expansion using Topic information

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Entity Set Expansion using Topic information

Entity Set Expansion using Topic information

... Four experimental settings were examined. First is Baseline; it is described in Section 3.1. Second is the first method with the addition of topic features. Third is the second method with the addition of a ... See full document

6

Entity Set Expansion using Interactive Topic Information

Entity Set Expansion using Interactive Topic Information

... in topic models, this section introduces interactive topic models that per- mit free control via human ...the topic models. Topic model modification is now possible with the recent proposal of ... See full document

9

An Entity Topic Model for Entity Linking

An Entity Topic Model for Entity Linking

... the entity which has the largest compatibility with ...more information such as the entity category and the acronym expansion, ...compatibility using the evidences from entity’s ... See full document

11

Distributional Similarity vs  PU Learning for Entity Set Expansion

Distributional Similarity vs PU Learning for Entity Set Expansion

... the entity set expansion ...by using TF-IDF or PMI (Pointwise Mutual Information) values (Lin, 1998; Gorman and Curran, 2006; Paşca et ... See full document

6

A Probabilistic Co Bootstrapping Method for Entity Set Expansion

A Probabilistic Co Bootstrapping Method for Entity Set Expansion

... To select discriminant negative instances, we observed that not all negative instances are the same useful for the expansion boundary determination. Intuitively, the discriminant negative instances are those ... See full document

11

ES LDA: Entity Summarization using Knowledge based Topic Modeling

ES LDA: Entity Summarization using Knowledge based Topic Modeling

... abbreviation expansion, ...run topic models on RDF ...single entity. Such a set can be very large, leading to a large bag of words with a semantic theme, or small (sparse), resulting in a poor ... See full document

10

Bilingual Product Name Dictionary Construction Using a Two Stage Method

Bilingual Product Name Dictionary Construction Using a Two Stage Method

... the entity set for the semantic catego- ry by giving some bilingual set pairs and then finds bilingual product name translation pair from com- parable ...category set expansion is ... See full document

9

Set Expansion using Sibling Relations between Semantic Categories

Set Expansion using Sibling Relations between Semantic Categories

... method using a classifier instead of scoring functions in the ranking step of bootstrapping ...use topic information estimated using Latent Dirichlet Allocation ...also topic ... See full document

10

Mining Inter Entity Semantic Relations Using Improved Transductive Learning

Mining Inter Entity Semantic Relations Using Improved Transductive Learning

... objectives: Entity Detection and Tracking (EDT), Relation Detection and Characterization (RDC), and Event Detection and Characterization ...each entity pair, using transductive learning ... See full document

12

Enhancing Detection through Linguistic Indexing and Topic Expansion

Enhancing Detection through Linguistic Indexing and Topic Expansion

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Social influence analysis in microblogging platforms   A topic sensitive based approach

Social influence analysis in microblogging platforms A topic sensitive based approach

... The analysis of user-generated content extracted from social media sites is an active research area. In particular, studies related to Twitter dataset have in- vestigated questions related to network and commu- nity ... See full document

17

Semi Automatic Entity Set Refinement

Semi Automatic Entity Set Refinement

... by using minimal human negative ...that set expansion errors are systematically caused by ambiguous seed instances which attract incorrect instances of an unintended entity ...unintended ... See full document

9

Exploring Query Expansion for Entity Searches in PubMed

Exploring Query Expansion for Entity Searches in PubMed

... queries using collective synonymous patterns of the same semantics improves PubMed recall or helps PubMed retrieve more relevant ...than using the individ- ual pattern of #C versus #C (more than twice as ... See full document

7

Retrieving the Missing Information from Information Systems Using Rough Set, Covering Based Rough Set and Soft Set

Retrieving the Missing Information from Information Systems Using Rough Set, Covering Based Rough Set and Soft Set

... soft set proposed, by Molodtsov in 1999, is a new method for handling uncertain data[4, ...5].Soft set are called either binary or basic or elementary neighborhood systems ...soft set is a mapping ... See full document

5

Entity Decisions in Neural Language Modelling: Approaches and Problems

Entity Decisions in Neural Language Modelling: Approaches and Problems

... the entity prediction process suggest that handling the question if the word belongs to an entity mention and which entity it is jointly with information from the set of entities is ... See full document

5

Latent Dirichlet Allocation with Topic in Set Knowledge

Latent Dirichlet Allocation with Topic in Set Knowledge

... The 50 most probable words for each topic are shown in Figure 2, and tagged entities are prefixed with their tags for easy identification. Table 2a shows the top words for the first 3 topics of our z- label run. ... See full document

6

Detecting and Characterizing Events

Detecting and Characterizing Events

... general topic relates to planning travel, the entity topic captures words related to the ...event topic captures words related to the evac- uation of Saigon toward the end of the Vietnam ... See full document

11

Automatically learning topics and difficulty levels of problems in online judge systems

Automatically learning topics and difficulty levels of problems in online judge systems

... mine topic and difficulty information from users’ learning traces on OJ ...same topic for ...Markov topic model, which can jointly characterize the two learning modes, for topic ... See full document

35

Implementation of Review Selection using Deep Learning

Implementation of Review Selection using Deep Learning

... select Entity file click on open. The selected entity file will be appearing on the text area on the right hand ...tagging using Natural Language ... See full document

6

Knowledge based systems text analysis

Knowledge based systems text analysis

... an entity linking system could consider when dealing with the entity linking ...for entity linking systems, the decision needs to be made regarding many aspects, such as the tradeoff between accuracy ... See full document

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