F1 score

Results: 49



#Item
1Compiler construction / Parsing / Statistics / Parseval / F1 score / Parsing algorithms / Analysis / Computing

Parser Evaluation Evaluation Parser Evaluation

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Source URL: cl.indiana.edu

Language: English - Date: 2015-11-17 13:42:01
2Compiler construction / Parsing / Statistics / Parseval / F1 score / Parsing algorithms / Analysis / Computing

Parser Evaluation Evaluation PARSEVAL Other metrics

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Source URL: cl.indiana.edu

Language: English - Date: 2015-11-12 13:45:53
3Statistical classification / Machine learning / Linear classifier / Precision and recall / Support vector machine / Binary classification / F1 score / Supervised learning / Classifier / Probability distribution

JMLR: Workshop and Conference Proceedings 25:269–284, 2012 Asian Conference on Machine Learning On Using Nearly-Independent Feature Families for High Precision and Confidence

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Source URL: www.cs.toronto.edu

Language: English - Date: 2012-12-03 17:28:19
4Information retrieval evaluation / Computational linguistics / Natural language processing / Query expansion / Relevance feedback / Relevance / Precision and recall / Information retrieval / Thesaurus / Text Retrieval Conference / F1 score / Semantic similarity

How Effective is Query Expansion for Finding Novel Information? Min Zhang1 , Chuan Lin2 , and Shaoping Ma1 1 2

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Source URL: www.thuir.org

Language: English - Date: 2008-03-24 08:33:59
5Linguistics / Syntax / Cognitive science / Corpus linguistics / Coordination / Treebank / Conjunct / Parsing / Punctuation / Precision and recall / Comma / F1 score

Are All Commas Equal? Detecting Coordination in the Penn Treebank Wolfgang Maier Sandra Kübler

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Source URL: cl.indiana.edu

Language: English - Date: 2014-07-28 14:53:29
6Information science / Information retrieval / Information retrieval evaluation / Natural language processing / Bioinformatics / Precision and recall / Relevance / Text Retrieval Conference / F1 score / Document retrieval / Discounted cumulative gain / Search engine indexing

TREC_EVAL: IR Evaluation Draft: Module name: Evaluation in Information Retrieval 2. Scope: This module addresses the methods used to evaluate an Information Retrieval system. We focus on evaluating a system

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Source URL: curric.dlib.vt.edu

Language: English - Date: 2011-01-19 20:54:35
7Parts of speech / Semantics / Coreference / Statistical natural language processing / Anaphora / Precision and recall / Recall / F1 score / Antecedent / Linguistics / Science / Statistics

Improving on Recall Errors for Coreference Resolution Claire Cardie Department of Computer Science Cornell University

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Source URL: www.akbc.ws

Language: English - Date: 2015-04-02 16:06:46
8Statistical classification / Natural language processing / Biostatistics / Accuracy and precision / F1 score / Recommender system / Gain / Classifier / Precision and recall / Statistics / Information retrieval / Machine learning

How Good is 85%? A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy Matthew Kay Computer Science & Engineering | dub, University of Washington

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Source URL: www.mjskay.com

Language: English - Date: 2015-04-25 22:02:34
9Linguistics / Natural language processing / Information retrieval / Evaluation of machine translation / Precision and recall / F1 score / Treebank / Recall / Statistics / Science / Computational linguistics

JMLR: Workshop and Conference Proceedings 34:193–206, 2014 Proceedings of the 12th ICGI Evaluation of selection in context-free grammar learning systems

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Source URL: jmlr.org

Language: English - Date: 2014-08-26 06:56:50
10Statistical classification / Natural language processing / Biostatistics / Accuracy and precision / F1 score / Recommender system / Gain / Classifier / Precision and recall / Statistics / Information retrieval / Machine learning

How Good is 85%? A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy Matthew Kay Computer Science & Engineering | dub, University of Washington

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Source URL: dub.washington.edu

Language: English - Date: 2015-04-20 16:18:12
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