ELMoLex: Connecting ELMo and Lexicon features for Dependency Parsing

International audienceIn this paper, we present the details of the neural dependency parser and the neu-ral tagger submitted by our team 'ParisNLP' to the CoNLL 2018 Shared Task on parsing from raw text to Universal Dependencies. We augment the deep Biaffine (BiAF) parser (Dozat and Manning, 2016) with novel features to perform competitively: we utilize an indomain version of ELMo features (Peters et al., 2018) which provide context-dependent word representations; we utilize disambiguated, embedded, morphosyntactic features from lexicons (Sagot, 2018), which complements the existing feature set. Henceforth , we call our system 'ELMoLex'. In addition to incorporating character embed-dings, ELMoLex leverage pre-trained word vectors, ELMo and morphosyntactic features (whenever available) to correctly handle rare or unknown words which are prevalent in languages with complex morphology. ELMoLex 1 ranked 11th by Labeled Attachment Score metric (70.64%), Morphology-aware LAS metric (55.74%) and ranked 9th by Bilexical dependency metric (60.70%). In an extrinsic evaluation setup, ELMoLex ranked 7 th for Event Extraction, Negation Resolution tasks and 11th for Opinion Analysis task by F1 score

Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell

International audienceWe introduce the first treebank for a romanized user-generated content variety of Algerian, a North-African Arabic dialect known for its frequent usage of code-switching. Made of 1500 sentences, fully annotated in morpho-syntax and Universal Dependency syntax, with full translation at both the word and the sentence levels, this treebank is made freely available. It is supplemented with 50k unlabeled sentences collected from Common Crawl and web-crawled data using intensive data-mining techniques. Preliminary experiments demonstrate its usefulness for POS tagging and dependency parsing. We believe that what we present in this paper is useful beyond the low-resource language community. This is the first time that enough unlabeled and annotated data is provided for an emerging user-generated content dialectal language with rich morphology and code switching, making it an challenging test-bed for most recent NLP approaches

Deep Multi-modal Object Detection for Autonomous Driving

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Synthesis and Characterization of Novel Sprayed Ag-Doped Quaternary Cu₂MgSnS₄ Thin Film for Antibacterial Application

In this work, the effects of silver doping with different Ag/(Ag + Cu) ratios (i.e., 2%, 5% and 10% at.% in the spray solution) on the structural, morphological, optical, electrical and antibacterial properties of Cu2MgSnS4 (CMTS) thin film grown by spray pyrolysis have been studied. The X-ray diffraction (XRD) and selected area electron diffraction (SAED) results have shown that the kesterite phase of CMTS thin films has a maximum crystallite size of about 19.60 nm for 5% Ag/(Ag + Cu). Scanning electron microscopy (SEM) images have shown spherical grain shapes. The transmission electron microscopy (TEM) and high-resolution TEM (HRTEM) microscopy observations confirmed the intrinsic reticular planes of CMTS thin film with (112) as a preferred orientation and interplanar spacing value of 3.1 Å. The optical properties showed high absorbance and an absorption coefficient of about 104 cm−1 in the visible region with an optical band gap energy of 1.51 eV. Impedance analysis spectroscopy demonstrated good electrical properties of the CMTS film obtained using 5% Ag/(Ag + Cu). The antibacterial activity of the undoped and Ag-doped particles of CMTS obtained using 5% Ag/(Ag + Cu) against different strains of pathogenic bacteria was tested using the agar well diffusion method. These results showed a significant antibacterial activity of the Ag-doped CMTS particle, which was much higher than the undoped CMTS particles. These experimental findings may open new practices for the Ag-doped CMTS compound, especially the one obtained using 5% Ag/(Ag + Cu), in antibacterial application

Bullous dermatosis associated with gemcitabine therapy for non-small-cell lung carcinoma

SummaryGemcitabine considered is to be a well-tolerated cytostatic drug with little known side effects. Cutaneous reactions are well known but still rarely reported.We report the case of a 75-year-old man with stage IV non-small-cell lung carcinoma treated with combination of gemcitabine 1000mg/m2 and cisplatin 75mg/m2 repeated every 28 days, who developed bilateral cutaneous bullous lesions of lower limbs following gemcitabine administration. Histopathologic examination did not show any toxidermy aspect and there was not any sign of immunoglobulin deposit in direct immunofluorescence test. Chemotherapy was stopped and lesions disappeared without any treatment. Even delayed with regard to gemcitabine administration, the causal relationship of gemcitabine treatment with skin reaction is possible according to the Naranjo probability scale. Pathologists should be aware of this kind of side effect in managing chemotherapy drugs and report any dermatologic reactions in order to identify the cause of toxicity and avoid a misdiagnosis

CoNLL 2018 Shared Task System Outputs

Test data parsed by systems submitted to the CoNLL 2018 UD parsing shared task

CoNLL 2018 Shared Task System Outputs

Test data parsed by systems submitted to the CoNLL 2018 UD parsing shared task