Text Mining

method ID: textmining

Related Papers

Deeper Sentiment Analysis Using Machine Translation Technology

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

This paper proposes a new paradigm for senti- ment analysis: translation from text documents to a set of sentiment units. The techniques of deep language analysis for machine translation are …...

5964

A Compact Arabic Lexical Semantics Language Resource Based on the Theory of Semantic Fields

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

AbstractApplications of statistical Arabic NLP in general, and text mining in specific, along with the tools underneath perform much better as the statistical processing operates on deeper language factorization(s) than …...

7600

Mining the Web for Relations between Digital Devices using a Probabilistic Maximum Margin Model

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

Searching and reading the Web is one of the principal methods used to seek out infor- mation to resolve problems about technol- ogy in general and digital devices in partic- …...

12586

Text Mining Based Query Expansion for Chinese IR

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

Query expansion has long been suggested as a technique for dealing with word mismatch problem in information retrieval. In this paper, we describe a novel query expansion method which incorporates …...

28686

Invited Talk: NLP and the Humanities: The Revival of an Old Liaison

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

This paper present an overview of some emerging trends in the application of NLP in the domain of the so-called Digital Hu- manities and discusses the role and nature of …...

43500

Points d’ancrage pour l’extraction lexicale bilingue à partir de petits corpus comparables spécialisés. Éléments de confiance pour la caractérisation des termes [Anchor points for bilingual extraction from small specialized comparable corpora]

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

. Research on bilingual lexicon extraction from comparable corpora leads to promising results using large corpora (hundreds of billions of words) using the direct alignment method. However, when using smaller …...

1681

A Swedish Scientific Medical Corpus for Terminology Management and Linguistic Exploration

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractThis paper describes the development of a new Swedish scientific medical corpus. We provide a detailed description of the characteristics of this new collection as well results of an application …...

8599

An ontology-driven system for detecting global health events

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

Text mining for global health surveillance is an emerging technology that is gaining increased attention from public health or- ganisations and governments. The lack of multilingual resources such as Word- …...

6702

Constructing a Broad-coverage Lexicon for Text Mining in the Patent Domain

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractFor mining intellectual property texts (patents), a broad-coverage lexicon that covers general English words together with terminology from the patent domain is indispensable. The patent domain is very diffuse as …...

8154

Cultural Heritage: Knowledge Extraction from Web Documents

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractThis article presents the use of NLP techniques (text mining, text analysis) to develop specific tools that allow to create linguistic resources related to the cultural heritage domain. The aim …...

8097

Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

A challenging problem in open informa- tion extraction and text mining is the learn- ing of the selectional restrictions of se- mantic relations. We propose a mini- mally supervised bootstrapping …...

36067

Insights from Network Structure for Text Mining

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

Text mining and data harvesting algorithms have become popular in the computational lin- guistics community. They employ patterns that specify the kind of information to be har- vested, and usually …...

36251

Textual Characteristics for Language Engineering

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractLanguage statistics are widely used to characterize and better understand language. In parallel, the amount of text mining and information retrieval methods grew rapidly within the last decades, with many …...

13954

How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

With 19%–28% of Internet users partici- pating in online health discussions, it be- came imperative to be able to detect and analyze posted personal health informa- tion (PHI). In this …...

28860

A Probabilistic Model for Learning Multi-Prototype Word Embeddings

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Distributed word representations have been widely used and proven to be useful in quite a few natural language processing and text mining tasks. Most of existing word embedding models aim …...

6076

ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

As a key representation model of knowl- edge, ontology has been widely used in a lot of NLP related tasks, such as se- mantic parsing, information extraction and text mining …...

34237

Extraction and generalisation of variables from scientific publications

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

Scientific theories and models in Earth sci- ence typically involve changing variables and their complex interactions, including correlations, causal relations and chains of positive/negative feedback loops. Vari- ables tend to …...

34838

Ambiguity Diagnosis for Terms in Digital Humanities

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractAmong all researches dedicating to terminology and word sense disambiguation, little attention has been devoted to the ambiguity of term occurrences. If a lexical unit is indeed a term of …...

14733

Enhancing Access to Online Education: Quality Machine Translation of MOOC Content

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractThe present work is an overview of the TraMOOC (Translation for Massive Open Online Courses) research and innovation project, a machine translation approach for online educational content. More specifically, videolectures, …...

16900

Exploiting morphology for the automatic extraction of general public paraphrases of medical terms

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

. The medical area conveys very specific terms (p. ex., blepharospasm, appendicec- tomy), which are difficult to understand by people without medical training. We propose an au- tomatic method for …...

1654

Monitoring Disease Outbreak Events on the Web Using Text-mining Approach and Domain Expert Knowledge

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractTimeliness and precision for detection of infectious animal disease outbreaks from the information published on the web is crucial for prevention against their spread. We propose a generic method to …...

15174

Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractText mining has drawn significant attention in recent past due to the rapid growth in biomedical and clinical records. Entity extraction is one of the fundamental components for biomedical text …...

42455

Automatic Identification of Research Fields in Scientific Papers

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

The TERRE-ISTEX project aims to identify scientific research dealing with specific geographical territories areas based on hetero- geneous digital content available in scientific papers. The project is divided into three …...

17722

ILCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

The iLCM project pursues the development of an integrated research environment for the analysis of structured and unstructured data in a “Software as a Service” architecture (SaaS). The research environment …...

17815

Text Mining for History: first steps on building a large dataset

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

This paper presents the initial efforts towards the creation of a new corpus on the history domain. Motivated by the historians’ need to interrogate a vast material in a non-linear …...

17428

Two Multilingual Corpora Extracted from the Tenders Electronic Daily for Machine Learning and Machine Translation Applications.

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

The European "Tenders Electronic Daily" (TED) is a large source of semi-structured and multilingual data that is very valuable to the Natural Language Processing community. This data sets can effectively …...

17442

S2ORC: The Semantic Scholar Open Research Corpus

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe introduce S2ORC, a large corpus of 81.1M English-language academic papers spanning many academic disciplines. The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as structured …...

37558

Text Mining of Evidence on Infants’ Developmental Stages for Developmental Order Acquisition from Picture Book Reviews

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

Herein, we study infants’ reactions associated with the ordering of development mediated by picture books. We propose an approach that detects evidence on infants’ reaction types from reviews of picture …...

18841

Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe training process of scientific NER models is commonly performed in two steps: i) Pre-training a language model by self-supervised tasks on huge data and ii) fine-tune training with small …...

29626

Combining Word Vector Technique and Clustering Algorithm for Credit Card Merchant Detection

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractExtracting relevant user behaviors through customer’s transaction description is one of the ways to collect customer information. In the current text mining field, most of the researches are mainly study …...

1030

Evaluation of Transfer Learning and Domain Adaptation for Analyzing German-Speaking Job Advertisements

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper presents text mining approaches on German-speaking job advertisements to enable social science research on the development of the labour market over the last 30 years. In order to …...

15117

Label Smoothing for Text Mining

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractCurrent text mining models are trained with 0-1 hard label that indicates whether an instance belongs to a class, ignoring rich information of the relevance degree. Soft label, which involved …...

5024

Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractText mining and information extraction for the medical domain has focused on scientific text generated by researchers. However, their access to individual patient experiences or patient-doctor interactions is limited. On …...

14945