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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study Rivera Zavala, Renzo; Martinez, Paloma In: JMIR Med Inform (2020) Abstract: BACKGROUND: Negation and speculation are critical elements in natural language processing (NLP)-related tasks, such as information extraction, as these phenomena change the truth value of a proposition. In the clinical narrative that is informal, these linguistic facts are used extensively with the objective of indicating hypotheses, impressions, or negative findings. Previous state-of-the-art approaches addressed negation and speculation detection tasks using rule-based methods, but in the last few years, models based on machine learning and deep learning exploiting morphological, syntactic, and semantic features represented as spare and dense vectors have emerged. However, although such methods of named entity recognition (NER) employ a broad set of features, they are limited to existing pretrained models for a specific domain or language. OBJECTIVE: As a fundamental subsystem of any information extraction pipeline, a system for cross-lingual and domain-independent negation and speculation detection was introduced with special focus on the biomedical scientific literature and clinical narrative. In this work, detection of negation and speculation was considered as a sequence-labeling task where cues and the scopes of both phenomena are recognized as a sequence of nested labels recognized in a single step. METHODS: We proposed the following two approaches for negation and speculation detection: (1) bidirectional long short-term memory (Bi-LSTM) and conditional random field using character, word, and sense embeddings to deal with the extraction of semantic, syntactic, and contextual patterns and (2) bidirectional encoder representations for transformers (BERT) with fine tuning for NER. RESULTS: The approach was evaluated for English and Spanish languages on biomedical and review text, particularly with the BioScope corpus, IULA corpus, and SFU Spanish Review corpus, with F-measures of 86.6%, 85.0%, and 88.1%, respectively, for NeuroNER and 86.4%, 80.8%, and 91.7%, respectively, for BERT. CONCLUSIONS: These results show that these architectures perform considerably better than the previous rule-based and conventional machine learning–based systems. Moreover, our analysis results show that pretrained word embedding and particularly contextualized embedding for biomedical corpora help to understand complexities inherent to biomedical text. Keyword: Original Paper URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746498/ http://www.ncbi.nlm.nih.gov/pubmed/33270027 https://doi.org/10.2196/18953 BASE Hide details 2 Simplifying drug package leaflets written in Spanish by using word embedding [<Journal>] Segura-Bedmar, Isabel [Verfasser]; Martinez, Paloma [Sonstige] DNB Subject Category Language Show details 3 The CHEMDNER corpus of chemicals and drugs and its annotation principles Krallinger, Martin; Rabal, Obdulia; Leitner, Florian. - : BioMed Central, 2015 BASE Show details 4 A Proof-of-Concept for Orthographic Named Entity Correction in Spanish Voice Queries Martínez Fernández, José Luis; Martínez, Paloma; Moreno Schneider, Julián. - : Springer, 2012 BASE Show details 5 A real time Named Entity Recognition system for Arabic text mining Martínez Fernández, José Luis; Van Der Goot, E.; Aljumaily, Harith Taha Abdulla. - : Springer, 2012 BASE Show details 6 A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents Segura-Bedmar, Isabel; Martínez, Paloma; de Pablo-Sánchez, César. - : BioMed Central, 2011 BASE Show details 7 An Illustrated Methodology for Evaluating ASR Systems Moreno Schneider, Julián; Martínez, Paloma; Martínez Fernández, José Luis. - : Springer, 2011 BASE Show details 8 UC3M system: Determining the Extent, Type and Value of Time Expressions in TempEval-2 Moreno Schneider, Julián; Martínez, Paloma; Vicente-Díez, María Teresa. - : Association for Computational Linguistics, 2010 BASE Show details 9 Automatic Identification of Biomedical Concepts in Spanish Language Unstructured Clinical Texts Castro, Elena; Iglesias, Ana; Martínez, Paloma. - : ACM, 2010 BASE Show details 10 Are Passages Enough? The MIRACLE Team Participation at QA@CLEF2009 Vicente-Díez, María Teresa; Pablo-Sánchez, César de; Martínez, Paloma. - : Springer, 2009 BASE Show details 11 Some Experiments in Evaluating ASR Systems Applied to Multimedia Retrieval Moreno Schneider, Julián; Garrote Salazar, Marta; Martínez, Paloma. - : Springer, 2009 BASE Show details 12 MOSTAS: un etiquetador morfo-semántico, anonimizador y corrector de historiales clínicos ; MOSTAS: A morpho-semantic tagger, anonymizer and spellchecker for clinical reports Iglesias, Ana; Castro, Elena; Pérez Laínez, Rebeca. - : Sociedad española para el procesamiento del lenguaje natural, 2008 BASE Show details 13 Combining Wikipedia and Newswire Texts for Question Answering in Spanish Pablo-Sánchez, César de; Martínez Fernández, José Luis; González-Ledesma, Ana. - : Springer, 2008 BASE Show details 14 Experiences in evaluating multilingual and text-image information retrieval García-Serrano, Ana; Martínez Fernández, José Luis; Martínez, Paloma. - : John Wiley & Sons, 2006 BASE Show details 15 Natural language processing and information systems : revised papers Euzenat, Jérôme (Mitarb.); Winkler, Christian (Mitarb.); Beuvron, François de (Mitarb.). - Berlin [u.a.] : Springer, 2001 BLLDB UB Frankfurt Linguistik Show details 16 El suplemento : problemas de caracterización y tipología Cuesta Martinez, Paloma In: Real Academia Española. Boletín de la Real Academia Española. - Madrid : Aguirre 77 (1997) 270, 57-98 BLLDB Show details 17 Observaciones sobre las características lexicográficas del 'Vocabulario científico y técnico' Cuesta Martinez, Paloma; Vega Martínez, Pilar de In: Real Academia Española. Boletín de la Real Academia Española. - Madrid : Aguirre 72 (1992) 255, 173-196 BLLDB Show details

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