PageRank
Related Papers
Exploiting Latent Semantic Relations in Highly Linked Hypertext for Information Retrieval in Wikis
Good hypertext writing style mandates that link texts clearly indicate the nature of the link tar- get. While this guideline is routinely ignored in HTML, the lightweight markup languages used …...
Using NLP Methods for the Analysis of Rituals
AbstractThis paper gives an overview of an interdisciplinary research project that is concerned with the application of computational linguistics methods to the analysis of the structure and variance of rituals, …...
Learning General Connotation of Words using Graph-based Algorithms
In this paper, we introduce a connotation lex- icon, a new type of lexicon that lists words with connotative polarity, i.e., words with pos- itive connotation (e.g., award, promotion) and …...
Bootstrapping Sentiment Labels For Unannotated Documents With Polarity PageRank
AbstractWe present a novel graph-theoretic method for the initial annotation of high-confidence training data for bootstrapping sentiment classifiers. We estimate polarity using topic-specific PageRank. Sentiment information is propagated from an …...
Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction
Taxonomy plays an important role in many applications by organizing domain knowl- edge into a hierarchy of is-a relations be- tween terms. Previous works on the taxo- nomic relation identification …...
Unsupervised Person Slot Filling based on Graph Mining
Slot filling aims to extract the values (slot fillers) of specific attributes (slots types) for a given entity (query) from a large- scale corpus. Slot filling remains very challenging over …...
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents
AbstractThe large and growing amounts of online scholarly data present both challenges and opportunities to enhance knowledge discovery. One such challenge is to automatically extract a small set of keyphrases …...
Hedwig: A Named Entity Linker
AbstractNamed entity linking is the task of identifying mentions of named things in text, such as “Barack Obama” or “New York”, and linking these mentions to unique identifiers. In this …...
Varying Vector Representations and Integrating Meaning Shifts into a PageRank Model for Automatic Term Extraction
AbstractWe perform a comparative study for automatic term extraction from domain-specific language using a PageRank model with different edge-weighting methods. We vary vector space representations within the PageRank graph algorithm, …...
Integrating Personalized PageRank into Neural Word Sense Disambiguation
AbstractNeural Word Sense Disambiguation (WSD) has recently been shown to benefit from the incorporation of pre-existing knowledge, such as that coming from the WordNet graph. However, state-of-the-art approaches have been …...