Machine Learning Algorithms

method ID: machinelearningalgorithms

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Authors: nan

Publication: TIPSTER (2000)

DOI: nan

Spam filtering is a text categorization task that shows especial features that make it interest- ing and difficult. First, the task has been per- formed traditionally using heuristics from the …...

41313

Combining linguistic and machine learning techniques for email summarization

Authors: nan

Publication: TIPSTER (2001)

DOI: nan

This paper shows that linguistic tech- niques along with machine learning can extract high quality noun phrases for the purpose of providing the gist or summary of email messages. We …...

41295

Machine Learning with Lexical Features: The Duluth Approach to SENSEVAL-2

Authors: nan

Publication: TIPSTER (2001)

DOI: nan

This paper describes the sixteen Duluth entries in the SENSEVAL-2 comparative exercise among word sense disambiguation systems. There were eight pairs of Duluth systems entered in the Spanish and English …...

20078

Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

This paper describes the HKPolyU-HKUST sys- tems which were entered into the Semantic Role La- beling task in Senseval-3. Results show that these systems, which are based upon common machine …...

19648

Generating Lexical Analogies Using Dependency Relations

Authors: nan

Publication: TIPSTER (2007)

DOI: nan

A lexical analogy is a pair of word-pairs that share a similar semantic relation. Lex- ical analogies occur frequently in text and are useful in various natural language pro- cessing …...

44681

Improved Text Categorisation for Wikipedia Named Entities

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

The accuracy of named entity recognition sys- tems relies heavily upon the volume and qual- ity of available training data. Improving the process of automatically producing such train- ing data …...

28656

Using Encyclopedic Knowledge for Automatic Topic Identification

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The sys- tem is found to exceed the performance of previously proposed machine learning …...

42330

Bilingual Experiments with an Arabic-English Corpus for Opinion Mining

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

Recently, Opinion Mining (OM) is receiving more at- tention due to the abundance of forums, blogs, e- commerce web sites, news reports and additional web sources where people tend to …...

28851

KLUE: Simple and robust methods for polarity classification

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

This paper describes our approach to the SemEval-2013 task on “Sentiment Analysis in Twitter”. We use simple bag-of-words mod- els, a freely available sentiment dictionary auto- matically extended with distributionally …...

23091

Automatic semantic relation extraction from Portuguese texts

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractNowadays we are facing a growing demand for semantic knowledge in computational applications, particularly in Natural Language Processing (NLP). However, there aren’t sufficient human resources to produce that knowledge at …...

16396

Automatic evaluation of surface coherence in L2 texts in Czech

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Publication: TIPSTER (2016)

DOI: nan

We introduce possibilities of automatic evaluation of surface text coherence (cohesion) in texts written by learners of Czech during certified exams for non-native speakers. On the basis of a corpus …...

1345

Evaluating anaphora and coreference resolution to improve automatic keyphrase extraction

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractIn this paper we analyze the effectiveness of using linguistic knowledge from coreference and anaphora resolution for improving the performance for supervised keyphrase extraction. In order to verify the impact …...

4537

Learning Tone and Attribution for Financial Text Mining

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractAttribution bias refers to the tendency of people to attribute successes to their own abilities but failures to external factors. In a business context an internal factor might be the …...

16197

XRCE at SemEval-2016 Task 5: Feedbacked Ensemble Modeling on Syntactico-Semantic Knowledge for Aspect Based Sentiment Analysis

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

This paper presents our contribution to the Se- mEval 2016 task 5: Aspect-Based Sentiment Analysis. We have addressed Subtask 1 for the restaurant domain, in English and French, which implies …...

22542

Word Representations Concentrate and This is Good News!

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis article establishes that, unlike the legacy tf*idf representation, recent natural language representations (word embedding vectors) tend to exhibit a so-called concentration of measure phenomenon, in the sense that, as …...

41602