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F1 score
Known as:
F-score
, F1 measure
, F score
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In statistical analysis of binary classification, the F1 score (also F-score or F-measure) is a measure of a test's accuracy. It considers both the…
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Related topics
Related topics
20 relations
BLEU
Binary classification
Document classification
Evaluation of binary classifiers
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Broader (1)
Evaluation of machine translation
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
A Supervised Named-Entity Extraction System for Medical Text
A. Bodnari
,
Louise Deléger
,
T. Lavergne
,
Aurélie Névéol
,
Pierre Zweigenbaum
Conference and Labs of the Evaluation Forum
2013
Corpus ID: 14963854
We present our participation in Task 1a of the 2013 CLEF- eHEALTH Challenge, whose goal was the identication of disorder named…
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Highly Cited
2012
Highly Cited
2012
Semantic Expansion of Tweet Contents for Enhanced Event Detection in Twitter
Özer Özdikis
,
Pinar Senkul
,
Halit Oğuztüzün
IEEE/ACM International Conference on Advances in…
2012
Corpus ID: 14589604
This paper aims to enhance event detection methods in a micro-blogging platform, namely Twitter. The enhancement technique we…
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2012
2012
Examining the Validity of Single-Occasion, Single-Genre, Holistically Scored Writing Assessments
Natalie G. Olinghouse
,
T. Santangelo
,
Joshua Wilson
2012
Corpus ID: 63690832
This chapter presents a study exploring two key assumptions underlying the use of scores generated from single-genre, single…
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2010
2010
Self-Training with Products of Latent Variable Grammars
Zhongqiang Huang
,
M. Harper
,
Slav Petrov
Conference on Empirical Methods in Natural…
2010
Corpus ID: 2471050
We study self-training with products of latent variable grammars in this paper. We show that increasing the quality of the…
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Highly Cited
2009
Highly Cited
2009
Word Sequence Models for Single Text Summarization
René Arnulfo García-Hernández
,
Yulia Ledeneva
Second International Conferences on Advances in…
2009
Corpus ID: 18123343
The main problem for generating an extractive automatic text summary is to detect the most relevant information in the source…
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2009
2009
Filtering spam e-mail from mixed arabic and english messages: a comparison of machine learning techniques
A. El-Halees
˜The œinternational Arab journal of information…
2009
Corpus ID: 14456017
Spam is one of the main problems in emails communications. As the volume of non-english language spam increases, little work is…
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2005
2005
Filtering-Ranking Perceptron Learning for Partial Parsing
Xavier Carreras
,
Lluís Màrquez i Villodre
,
C. Castro
Machine-mediated learning
2005
Corpus ID: 2075405
This work introduces a general phrase recognition system based on perceptrons, and a global online learning algorithm to train…
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2002
2002
Parsing with PCFGs and automatic f-structure annotation
Aoife Cahill
,
M. Mccarthy
,
Josef van Genabith
,
Andy Way
2002
Corpus ID: 3011606
The development of large coverage, rich unification- (constraint-) based grammar resources is very time consuming, expensive and…
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1978
1978
Estimates of heterosis and combining ability for resistance of maize to Colletotrichum graminicola.
S. Lim
,
D. G. White
1978
Corpus ID: 55297084
LIM, S. M., and D. G. WHITE. 1978. Estimates of heterosis and combining ability for resistance of maize to Colletotrichum…
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1963
1963
Genetics and plastid physiology in pelargonium
R. Tilney-Bassett
Heredity
1963
Corpus ID: 27457925
THE two important steps in the analysis of breeding variegated Pelargoniums were made by Baur and Imai. Baur found that on…
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