[PDF] Top 20 Human competitive tagging using automatic keyphrase extraction

... performance, using TF×IDF, first occur- rence, keyphraseness and Naïve Bayes to com- bine them (same as row 4 in Table ...2). Using de- cision trees with these three features does not improve the ... See full document

... on automatic tagging has so far not been con- nected to work on keyphrase extraction ...and keyphrase as ...tags, keyphrase extraction methods apply machine learning to ... See full document

... when human and automatic refinement of the gold stan- dard opinion phrases were carried ...out. Automatic keyphrases were manually compared to the above mentioned sets of keyphrases, ...i.e. ... See full document

... Keyphrases are words or phrases that capture the main topics discussed in a document. Auto- matically extracted keyphrases have been found to be useful for many natural language pro- cessing and information retrieval ... See full document

... part-of-speech tagging, chunk- ing, named entity recognition, semantic role la- beling, syntactic parsing, and speech processing, among others (Collobert et ... See full document

... the keyphrase contain a preposition [PP], a con- junction [CC] or neither a preposition nor a con- junction [Simple]?); and (3) the word class se- quence of the keyphrase (is the keyphrase an NN [NN] ... See full document

... Experiments have been performed on two dif- ferent data sets. One is a collection of scientif- ic publication abstracts, while the other consists of news articles with human-annotated keyphras- es. Experimental ... See full document

... for human editors to manually index ...as keyphrase extraction. When we enter Web 2.0 era, social tagging is invented to help users manage and share ...for automatic social tag ... See full document

... Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each article. Since these key words are often phrases of two or more words, we prefer to call ... See full document

... studies automatic keyphrase ex- traction on social ...neglect human reading behavior during keyphrase annotating. The human attention is a crucial element of human reading ... See full document

... way keyphrase extractors are currently ...duct human evaluations. Cheaper alternatives in- clude having human annotators identify semanti- cally equivalent keyphrases during manual label- ing, and ... See full document

... Since there is no existing test collection for topi- cal keyphrase extraction from Twitter, we manually constructed our test collection. For each of the 10 selected topics, we ran all the methods to rank ... See full document

... This paper has described Task 5 of the Workshop on Semantic Evaluation 2010 (SemEval-2010), fo- cusing on keyphrase extraction. We outlined the design of the datasets used in the shared task and the ... See full document

... identifying keyphrase candidates and topics. Keyphrase candidates are selected from the se- quences of adjacent nouns with one or more pre- ceding adjectives ( /Adj*Noun+/ ...share using hierarchical ... See full document

... In automatic summarization, lexical chains produce summaries that in most cases have higher consistency with human annotators than they with each other, even using a simplified weighting ...existing ... See full document

... POS tagging of historical German from 1400 to 1770, classified here as Early New High German (ENHG), us- ing automatic spelling normalization to prepro- cess the data for a POS tagger trained on mod- ern ... See full document

... fewer keyphrase candi- ...specific keyphrase which, however, consists of only one ...that keyphrase extraction approaches benefit from decompounding more in cases of short ... See full document

... J05-4004:18 Between these two extremes, there has been a relatively modest amount of work in sentence simplification (Chandrasekar, Doran, and Bangalore 1996; Mahesh 1997; Carroll et al 1998; Grefenstette 1998; Jing ... See full document

... The specific case study in this paper presents ad- ditional advantages. On the one hand, FreeLing is an open source resource that is well documented and actively maintained. In addition, due to the modu- larity of this ... See full document

... From analyzing these tweets, we found that some of the hashtags can be considered as the keyphrases of the tweet. For example: “The Warriors take Game 1 of the #NBAFinals 104-89 behind a playoff career-high 20 from Shaun ... See full document