The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions

International audienceMultiword expressions (MWEs) are known as a "pain in the neck" for NLP due to their idiosyncratic behaviour. While some categories of MWEs have been addressed by many studies, verbal MWEs (VMWEs), such as to take a decision, to break one's heart or to turn off, have been rarely modelled. This is notably due to their syntactic variability, which hinders treating them as " words with spaces ". We describe an initiative meant to bring about substantial progress in understanding, modelling and processing VMWEs. It is a joint effort, carried out within a European research network, to elaborate universal terminologies and annotation guidelines for 18 languages. Its main outcome is a multilingual 5-million-word annotated corpus which underlies a shared task on automatic identification of VMWEs. This paper presents the corpus annotation methodology and outcome, the shared task organisation and the results of the participating systems

Isolation, Characterization and Amino Acid Composition of a Bacteriocin Produced by Bacillus methylotrophicus Strain BM47

Poznato je da bakterije roda Bacillus proizvode široki spektar proteinskih antibiotičkih spojeva što inhibiraju različite saprofitne i patogene mikroorganizme. U ovom je radu opisan i identificiran kao bakteriocin peptid iz soja bakterije Bacillus methylotrophicus BM47, prethodno izolirane iz prirodnog termalnog izvora u Bugarskoj. Ispitivanje je antimikrobnog djelovanja in vitro nepročišćene suspenzije bakteriocina iz B. methylotrophicus BM47 pokazalo učinak na fitopatogene plijesni Fusarium moniliforme, Aspergillus awamori, Penicillium sp., Aspergillus niger te na Gram-negativnu bakteriju Pseudomonas aeruginosa. Antimikrobno djelovanje nepročišćene suspenzije bakteriocina djelomično su inhibirali enzimi tripsin, Alcalase®, Savinase®, proteinaza K, papain i Esperase®, dok katalaza nije imala učinkovito djelovanje. Nepročišćena je suspenzija bakteriocina bila otporna na promjene u pH-vrijednostima, ali je bila osjetljiva na djelovanje topline i većine ispitanih organskih otapala i detergenata. Radi dobivanja udjela aktivnog proteina, sirovi je ekstrakt bakteriocina pročišćen pomoću brze tekućinske kromatografije proteina (engl. FPLC) i jake anionske kolone za ionsku izmjenu. Analiza tricin-natrij dodecil sulfat – poliakrilamid gel elektroforezom pokazala je da pročišćeni bakteriocin ima molekulsku masu od 19 578 Da, dok je visokodjelotvornom tekućinskom kromatografijom utvrđeno da sadržava 17 vrsta aminokiselina s najvećim molarnim udjelom serina (29,3 %), valina (10,3 %), alanina (9,8 %) i tirozina (7,1 %).Members of the bacterial genus Bacillus are known as producers of a broad spectrum of antibiotic compounds of proteinaceous nature that possess inhibitory activity against different saprophytic and pathogenic microorganisms. In the current research, a peptide synthesized by Bacillus methylotrophicus strain BM47, previously isolated from a natural thermal spring in Bulgaria, was identified and characterized as a bacteriocin. In vitro antimicrobial screening of the crude bacteriocin substance of B. methylotrophicus BM47 showedn activity against the plant pathogenic fungi Fusarium moniliforme, Aspergillus awamori, Penicillium sp., Aspergillus niger and Gram-negative bacterium Pseudomonas aeruginosa. The antimicrobial activity of the crude bacteriocin substance was partially inhibited by the enzymes trypsin, Alcalase®, Savinase®, proteinase K, papain and Esperase®, while catalase was not effective. The crude bacteriocin substance was relatively pH resistant, but sensitive to the action of heat and most organic solvents and detergents tested. To obtain the active protein fractions, crude bacteriocin substance was purified by fast protein liquid chromatography (FPLC) using a strong anion exchange column. Tricine sodium dodecyl sulfate-polyacrylamide gel electrophoresis analysis demonstrated that the purified bacteriocin had molecular mass of 19 578 Da. The amino acid analysis performed by high-performance liquid chromatography (HPLC) revealed that the isolated bacteriocin consisted of 17 types of amino acids, with the highest mol fraction expressed as percent of serine (29.3), valine (10.3), alanine (9.8) and tyrosine (7.1)

Vaccinium Vitis-Idaea L., Origin from Bulgaria Indicate in Vitro Antitumor Еffect on Human Cervical and Breast Cancer Cells

Cancer is a socially significant disease. Along with efforts to understand the complex genetic/epigenetic factors that trigger a carcinogenesis, it is also necessary to analyze the potential natural active substances that may delay or even stop neoplastic transformation. Promising candidates are Bulgarian cranberries from high mountain plant populations, which are rich in phenolics and anthocyanins and have proven beneficial effects on human body.The present study aims to evaluate in vitro, antitumor activities of total extracts and purified nonanthocyanin and anthocyanins fractions of Vaccinium vitis-idaea L., picked in Bulgaria on human cervical (HeLa) and breast (MCF7) cancer cell lines, as well as to examine some of the apoptotic mechanisms underlying them.Materials and methods: Four methanol extracts and respective number of purified B- nonanthocyanin / C- anthocyanins fractions of Bulgarian lingonberry were used. Antitumor effect was established by Trypan Blue method, monitoring of morphological changes and МТТ cell viability assay. Assessment of apoptotic activity was performed using DNA fragmentation method.Results: The results from МТТ analyses showed that B- nonanthocyanin fractions of Bulgarian lingonberry have well expressed inhibitory effect on survival of tested tumor cells. The observed effect dependent of the dose administered and were stronger in relation with the high-mountain populations and HeLa cell line. The integrity of the extracted DNA from treated survival cells indicates possible apoptosis mechanisms under the action of biologically active ingredients from lingonberries.Conclusion: Survey of antitumor activities of Bulgarian lingonberries based on molecular methods, could contribute to establish the natural substances useful for human health in general and practical oncology

A Review on Antitumor and Antiviral Potential of Cranberries (Vaccinium Vitis-Idaea) Origin from Bulgaria

A major goal in antitumor and antiviral therapy is to find active ingredients that selectively suppress the proliferation of tumor cells or inhibit viral replication and proliferation. In this connection, the antitumor and antiviral activity of natural products with proven phytochemical properties and pharmacological significance are actively investigated. A promising candidate are Bulgarian cranberries from high mountain plant populations, which are a valuable natural source of food and have proven healing properties in urinary tract infections, eye diseases and cardiovascular disorders, as well as prevention of hypertension and diabetes. The active components of Vaccinium vitis-idaea L. are polyphenols and anthocyanins which belong to classes of plant components with high antioxidant, antimicrobial, cytotoxic and antiproliferative activity. Cranberries contain a high percentage and variety of vitamins (A,  E, C,  etc.) and a number of minerals (K, Ca, Mg, P, Na). In the world regions where endemic measles outbreaks occur, for secondary prevention and avoidance of complications including blindness, WHO recommends the use of high doses of vitamin A in children under 5 years of age. Bulgarian cranberries are a valuable source of vitamins A and C.The assessement of biological activity of the individual components and fractions in the composition of the Bulgarian cranberries may help to identify substances with antitumor and/or antiviral activity that could potentially be useful in future development of new therapeutic agents

Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop

The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide. This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work

Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop

The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide. This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work

Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop

The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide. This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work

Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop

The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide. This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work

Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop

The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide. This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work