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NexGenTV

Olfa Ben Ahmed, Fabrice Leménorel, Gabriel Sargent, Florian Garnier, Benoit Huet, Vincent Claveau, Laurence Couturier, Raphaël Troncy, Guillaume Gravier, Philémon Bouzy
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
From the back-end, broadcasters can push enriched content to front-end applications providing customers with highlights, entity and content links, overviews of social network, etc.  ...  A back-office is dedicated to easy and fast content ingestion, segmentation, description and enrichment with links to entities and related content.  ...  Speaker turns are helpful cues for content segmentation. This is specially true in political debates where a speech turn frequently corresponds to a politician developing his ideas on a topic.  ... 
doi:10.1145/3123266.3127929 dblp:conf/mm/AhmedSGHCCTGBL17 fatcat:fsynfujyyvfjpioq7hi4e5naue

An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms

Danuta Ploch, Andreas Lommatzsch, Florian Schultze
2016 Proceedings of ACL-2016 System Demonstrations  
In our media-driven world the perception of companies and institutions in the media is of major importance.  ...  The system enables us demonstrating the live analyzes of news and social media streams as well as the strengths of advanced text mining algorithms for creating a comprehensive media analysis.  ...  Acknowledgments The research leading to these results was performed in the CrowdRec project, which has received funding from the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement  ... 
doi:10.18653/v1/p16-4019 dblp:conf/acl/PlochLS16 fatcat:3blisgl2ifd4xnnwfemk3manvu

Detecting Derivatives using Specific and Invariant Descriptors

Fabien Poulard, Nicolas Hernandez, Béatrice Daille
2011 POLIBITS Research Journal on Computer Science and Computer Engineering With Applications  
This paper explores the detection of derivation links between texts (otherwise called plagiarism, near-duplication, revision, etc.) at the document level.  ...  In order to ensure the verifiability and the reproducibility of our results we make our code as well as our corpus available to the community.  ...  For named entities extraction, we used the French system Nemesis [16] . Nemesis follows a lexical and grammar-based approach with some automatic learning techniques to enrich the lexicon.  ... 
doi:10.17562/pb-43-1 fatcat:s6anskce2ndc3ehopzktwy666y

Discovering and exploring relations on the web

Ndapandula Nakashole, Gerhard Weikum, Fabian Suchanek
2012 Proceedings of the VLDB Endowment  
We propose a demonstration of PATTY, a system for learning semantic relationships from the Web. PATTY is a collection of relations learned automatically from text.  ...  With the ongoing trends of enriching Web data (both text and tables) with entity-relationship-oriented semantic annotations, we believe a demo of the PATTY system will be of interest to the database community  ...  State-of-the-art approaches can detect and disambiguate named entities in text or tables, and extract binary relations between entities based on patterns in textual or semistructured contents.  ... 
doi:10.14778/2367502.2367553 fatcat:4ypfakibnvdnjp3qg35rmkvmou

Structural block driven - enhanced convolutional neural representation for relation extraction

Dongsheng Wang, Prayag Tiwari, Sahil Garg, Hongyin Zhu, Peter Bruza
2019 Applied Soft Computing  
Specifically, we detect the essential sequential tokens associated with entities through dependency analysis, named as a structural block, and only encode the block on a block-wise and an inter-block-wise  ...  In this paper, we propose a novel lightweight relation extraction approach of structural block driven - convolutional neural learning.  ...  Structural Block Detection We detect the block of coherent tokens for entities in a text. This design is to find directly relevant sequential tokens, whilst retaining their local integrity.  ... 
doi:10.1016/j.asoc.2019.105913 fatcat:xbpfhxprxnb3ljuyp5qicfzkka

Lisen&Curate: A platform to facilitate knowledge tools for curation of regulation of transcription initiation in bacteria [article]

Carlos-Francisco Méndez-Cruz, Martín Díaz-Rodríguez, Francisco Guadarrama-García, Oscar William Lithgow-Serrano, Socorro Gama-Castro, Hilda Solano-Lira, Fabio Rinaldi, Julio Collado-Vides
2020 bioRxiv   pre-print
The amount of published papers in biomedical research makes it rather impossible for a researcher to keep up to date.  ...  A major advantage of the system is to save as part of the curation work, the precise link for every curated piece of knowledge with the corresponding specific sentence(s) in the curated publication supporting  ...  a set of toolbox interfaces that present automatically extracted and enriched information to assist curation work.  ... 
doi:10.1101/2020.04.28.065243 fatcat:7bzv27eievhujmnjnai57unt5u

AnaPro, Tool for Identification and Resolution of Direct Anaphora in Spanish

I. Toledo-Gómez, E. Valtierra-Romero, A. Guzmán-Arenas, A. Cuevas-Rasgado, L. Méndez-Segundo
2014 Journal of Applied Research and Technology  
Much of the work on anaphora has been done for texts in English; thus, we specifically focus on Spanish documents.  ...  AnaPro works for Spanish sentences. It is a novel procedure, since it is automatic (no user intervenes during the resolution) and it does not need dictionaries.  ...  Acknowledgements Authors I.T. and E.V. would like to acknowledge ESCOM-IPN, where they defended their thesis, #20110083, which gives a more detailed description of AnaPro.  ... 
doi:10.1016/s1665-6423(14)71602-5 fatcat:wzacrudwn5e2pf5ayecxpt6lhe

Text mining in a digital library

Ian H. Witten, Katherine J. Don, Michael Dewsnip, Valentin Tablan
2004 International Journal on Digital Libraries  
This has been used to perform recognition and tracking tasks of named, nominal, and pronominal entities in several types of text.  ...  Tracking entities across documents leads to automatic hyperlinking of coreferences.  ... 
doi:10.1007/s00799-003-0066-4 fatcat:hzz3eoijh5cxholaugqtfs4hhy

A Greek Morphological Lexicon and Its Exploitation by Natural Language Processing Applications [chapter]

Georgios Petasis, Vangelis Karkaletsis, Dimitra Farmakiotou, Ion Androutsopoulos, Constantine D. Spyropoulo
2003 Lecture Notes in Computer Science  
The morphological lexicon was used to develop a lemmatiser and a morphological analyser that were exploited in various natural language processing applications for Greek.  ...  This paper presents a large-scale Greek morphological lexicon, developed at the Software & Knowledge Engineering Laboratory (SKEL) of NCSR "Demokritos".  ...  The SKEL morphological lexicon has been used as a lemmatiser in the context of lexical analysis (Fig. 7) in order to enrich the output of the part-of-speech Fig. 7 .  ... 
doi:10.1007/3-540-38076-0_26 fatcat:qxpwqzvowjgujgaalwg4abdvce

Event extraction for systems biology by text mining the literature

Sophia Ananiadou, Sampo Pyysalo, Jun'ichi Tsujii, Douglas B. Kell
2010 Trends in Biotechnology  
To computationally mine the literature for such events, text mining methods that can detect, extract and annotate them are required.  ...  Systems biology recognizes in particular the importance of interactions between biological components and the consequences of these interactions.  ...  We would like to thank Paul Thompson and John McNaught (National Centre for Text Mining, University of Manchester) for their helpful comments and support in producing this manuscript.  ... 
doi:10.1016/j.tibtech.2010.04.005 pmid:20570001 fatcat:thw62syppnhd3jzd52ajqs5wum

Hashtag the Tweets: Experimental Evaluation of Semantic Relatedness Measures

Muhammad Asif, Nadeem Akhtar, Mujtaba Husnain, Malik Muhammad, Hina Asmat, Muhammad Asghar
2016 International Journal of Advanced Computer Science and Applications  
On Twitter, hashtags are used to summarize topics of the tweet content and to help search tweets.  ...  Therefore, it is important to evaluate that if they really represent the content they are attached with? In this work, we perform detailed experiments to find answer for this question.  ...  Their proposed system has two parts, first one is entity extraction and semantic enrichments, in which they detect entities and their semantic in reference of post, new or topic etc. the result in the  ... 
doi:10.14569/ijacsa.2016.070662 fatcat:w3oylx5r2fhwrm4b3k7tr5wceq

BioLemmatizer: a lemmatization tool for morphological processing of biomedical text

Haibin Liu, Tom Christiansen, William A Baumgartner, Karin Verspoor
2012 Journal of Biomedical Semantics  
An innovative aspect of the BioLemmatizer is the use of a hierarchical strategy for searching the lexicon, which enables the discovery of the correct lemma even if the input Part-of-Speech information  ...  For morphological analysis of these texts, lemmatization has been actively applied in the recent biomedical research.  ...  Acknowledgements The authors thank Professor Lawrence Hunter for providing valuable feedback on this work, and Helen Johnson for her help in releasing the BioLemmatizer.  ... 
doi:10.1186/2041-1480-3-3 pmid:22464129 pmcid:PMC3359276 fatcat:xnhavacbbjbbfoc4ibdngsjgvm

EUSKOR: End-to-end coreference resolution system for Basque

Ander Soraluze, Olatz Arregi, Xabier Arregi, Arantza Díaz de Ilarraza, Natalia Grabar
2019 PLoS ONE  
As a result of the error analysis, we have enriched the Basque coreference resolution adding new two sieves, obtaining an improvement of 0.24 points in CoNLL F1 when automatic mentions are used and of  ...  The contribution of each sieve is analysed concluding that morphology is essential for agglutinative languages to obtain good performance in coreference resolution.  ...  We thank the anonymous reviewers for their extensive reviews. Author Contributions Investigation: Ander Soraluze.  ... 
doi:10.1371/journal.pone.0221801 pmid:31513627 pmcid:PMC6742394 fatcat:bwfi3a54bbgzhbu56n5dzys3ay

Tectogrammatical Annotation of the Wall Street Journal

Silvie Cinková, Josef Toman, Jan Hajič, Kristýna Čermáková, Václav Klimeš, Lucie Mladová, Jana Šindlerová, Kristýna Tomšů, Zdeněk Žabokrtský
2009 Prague Bulletin of Mathematical Linguistics  
To make the rules more powerful, the phrase-based Penn Treebank -WSJ was enriched with other publicly available language resources -the manual annotation of flat noun phrases and the named-entity and coreference  ...  This paper gives an overview of the current state of the Prague English Dependency Treebank project.  ...  In the next future we are going to continue improving the automatic pre-annotation by detecting problematic phrases and linguistic phenomena.  ... 
doi:10.2478/v10108-009-0023-5 fatcat:mcczoylq4bcvtewtfosrc4n56i

Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs

Sebastian Krause, Leonhard Hennig, Andrea Moro, Dirk Weissenborn, Feiyu Xu, Hans Uszkoreit, Roberto Navigli
2016 Journal of Web Semantics  
We can distinguish two main types of knowledge resources: those that store factual information about entities in the form of semantic relations (e.g., Freebase), namely so-called knowledge graphs, and  ...  We believe sar-graphs will prove to be useful linguistic resources for a wide variety of natural language processing tasks, and in particular for information extraction and knowledge base population.  ...  (contract 01IS14013E), as well as by the ERC Starting Grant MultiJEDI No. 259234, and a Google Focused Research Award granted in July 2013.  ... 
doi:10.1016/j.websem.2016.03.004 fatcat:o33kiij265hhrgyggkeq4w3ycu
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