Machine Learning Techniques
Related Papers
Message Classification in the Call Center
Customer care in technical domains is increasingly based on e-mail communication, allowing for the re- production of approved solutions. Identifying the customer's problem is often time-consuming, as the problem space …...
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The recognition of named entities is now a well- developed area, with a range of symbolic and machine learning techniques that deliver high accuracy identification and categorisation of a variety …...
A Machine Learning based Approach to Evaluating Retrieval Systems
Test collections are essential to evaluate Information Retrieval (IR) systems. The relevance assessment set has been recog- nized as the key bottleneck in test col- lection building, especially on very …...
Repérer automatiquement les segments obsolescents à l’aide d’indices sémantiques et discursifs [Automatic Tracking of Obsolescent Segments with Linguistic Cues]
. This paper deals with the description and the automatic tracking of text segments containing obsolescence in encyclopedia texts. We assume that despite the non-linguistic nature of this phenomenon, discursive …...
Learning from student responses: A domain-independent natural language tutor
Providing timely and individualised feedback to students in large undergraduate classes is problematic. In this paper we describe our approach to creating a simple, surface-based, domain-independent natural language tutor which …...
Financial Event Extraction Using Wikipedia-Based Weak Supervision
AbstractExtraction of financial and economic events from text has previously been done mostly using rule-based methods, with more recent works employing machine learning techniques. This work is in line with …...
Ontology Matching Using Convolutional Neural Networks
AbstractIn order to achieve interoperability of information in the context of the Semantic Web, it is necessary to find effective ways to align different ontologies. As the number of ontologies …...
Named Entity Recognition to Detect Criminal Texts on the Web
AbstractThis paper presents a toolkit that applies named-entity extraction techniques to identify information related to criminal activity in texts from the Polish Internet. The methodological and technical assumptions were established …...