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ISSumSet: a tweet summarization dataset hidden in a TREC track
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In: SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied Computing ; ISBN: 978-1-4503-8104-8 ; 36th ACM/SIGAPP Symposium on Applied Computing (SAC 2021) ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03244354 ; 36th ACM/SIGAPP Symposium on Applied Computing (SAC 2021), Association for Computing Machinery - Special Interest Group on Applied Computing (SIGAPP), Mar 2021, Republic of Korea (virtual event), South Korea. pp.665-671, ⟨10.1145/3412841.3441946⟩ ; https://dl.acm.org/doi/10.1145/3412841.3441946 (2021)
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Proactive information retrieval
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Sen, Procheta. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
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In: Sen, Procheta (2021) Proactive information retrieval. PhD thesis, Dublin City University. (2021)
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Ein Überblick über die neuesten abstrakten Zusammenfassungstechniken ; A Survey of Recent Abstract Summarization Techniques ; Un aperçu des techniques récentes de résumé abstrait
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In: Proceedings of Sixth International Congress on Information and Communication TechnologyICICT 2021, London, Volume 4Series: Lecture Notes in Networks and Systems, Vol. 217Yang, X.-S., Sherratt, S., Dey, N., Joshi, A. (Eds.) 2021 ; Proceedings of Sixth International Congress on Information and Communication Technology ICICT 2021, London, Volume 4, Series: Lecture Notes in Networks and Systems, Vol. 217. Springer Singapore, 2021 ; https://hal.archives-ouvertes.fr/hal-03216381 ; Proceedings of Sixth International Congress on Information and Communication Technology ICICT 2021, London, Volume 4, Series: Lecture Notes in Networks and Systems, Vol. 217. Springer Singapore, 2021, ICICT 2021, Feb 2021, London, United Kingdom ; https://www.waterstones.com/book/proceedings-of-sixth-international-congress-on-information-and-communication-technology/xin-she-yang/simon-sherratt/9789811621017 (2021)
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The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.inria.fr/hal-03476839 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩ (2020)
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Automatic Keyphrase Extraction From Russian-Language Scholarly Papers in Computational Linguistics
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In: University Honors Theses (2020)
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Romedi: An Open Data Source About French Drugs on the Semantic Web
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-02987843 ; Studies in Health Technology and Informatics, IOS Press, 2019, 264, pp.79-82. ⟨10.3233/SHTI190187⟩ (2019)
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LIFER 2.0: discovering personal lifelog insights using an interactive lifelog retrieval system
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In: Ninh, Van-Tu orcid:0000-0003-0641-8806 , Le, Tu-Khiem orcid:0000-0003-3013-9380 , Zhou, Liting orcid:0000-0002-7778-8743 , Piras, Luca, Riegler, Michael, Lux, Mathias, Tran, Minh-Triet orcid:0000-0003-3046-3041 , Gurrin, Cathal orcid:0000-0003-2903-3968 and Dang-Nguyen, Duc-Tien orcid:0000-0002-2761-2213 (2019) LIFER 2.0: discovering personal lifelog insights using an interactive lifelog retrieval system. In: CLEF 2019 Conference and Labs of The Evaluation Forum - Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, 9-12 Sept 2019, Lugano Switzerland. (2019)
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Evaluation of the Terminology Coverage in the French Corpus LiSSa.
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.archives-ouvertes.fr/hal-01843039 ; Studies in Health Technology and Informatics, IOS Press, 2018, pp.126-130 (2018)
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Spoken content retrieval beyond pipeline integration of automatic speech recognition and information retrieval
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Racca, David. - : Dublin City University. School of Computing, 2018. : Dublin City University. ADAPT, 2018
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In: Racca, David (2018) Spoken content retrieval beyond pipeline integration of automatic speech recognition and information retrieval. PhD thesis, Dublin City University. (2018)
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Promoting user engagement and learning in search tasks by effective document representation
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Arora, Piyush. - : Dublin City University. School of Computing, 2018. : Dublin City University. ADAPT, 2018
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In: Arora, Piyush orcid:0000-0002-4261-2860 (2018) Promoting user engagement and learning in search tasks by effective document representation. PhD thesis, Dublin City University. (2018)
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ANCOR-AS: Enriching the ANCOR Corpus with Syntactic Annotations
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In: LREC 2018 - 11th edition of the Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01744572 ; LREC 2018 - 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan ; http://lrec2018.lrec-conf.org/en/ (2018)
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Extracting Absolute Spatial Entities from SMS : Comparing a Supervised and an Unsupervised Approach
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In: CMC and Language, special issue in the Cahiers du Cental (UCL) ; https://hal.archives-ouvertes.fr/hal-01728717 ; CMC and Language, special issue in the Cahiers du Cental (UCL), 9, Presses universitaires de Louvain, pp.15-22, 2018, 978-2-87558-697-1. ⟨10.18167/DVN1/0ZGJRC⟩ (2018)
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Computational Approaches for Analyzing Social Support in Online Health Communities
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Data-Driven Identification of German Phrasal Compounds
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In: Text, Speech, and Dialogue ; https://hal.archives-ouvertes.fr/hal-01575651 ; Kamil Ekštein; Václav Matoušek. Text, Speech, and Dialogue, 10415, Springer International Publishing, pp.192-200, 2017, Lecture Notes in Computer Science, 978-3-319-64205-5. ⟨10.1007/978-3-319-64206-2_22⟩ ; https://link.springer.com/bookseries/558 (2017)
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Abstract:
Proceedings of the 20th International Conference, TSD 2017, Prague, Czech Republic, August 27-31, 2017 ; International audience ; We present a method to identify and document a phenomenon on which there is very little empirical data: German phrasal compounds occurring in the form of as a single token (without punctuation between their components). Relying on linguistic criteria, our approach implies to have an operational notion of compounds which can be systematically applied as well as (web) corpora which are large and diverse enough to contain rarely seen phenomena. The method is based on word segmentation and morphological analysis, it takes advantage of a data-driven learning process. Our results show that coarse-grained identification of phrasal compounds is best performed with empirical data, whereas fine-grained detection could be improved with a combination of rule-based and frequency-based word lists. Along with the characteristics of web texts, the or-thographic realizations seem to be linked to the degree of expressivity.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.1: Content Analysis and Indexing/H.3.1.1: Dictionaries; ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.1: Content Analysis and Indexing/H.3.1.3: Linguistic processing; ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.7: Digital Libraries/H.3.7.0: Collection; corpus linguistics; morphological analysis; web corpora; word segmentation
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URL: https://hal.archives-ouvertes.fr/hal-01575651 https://hal.archives-ouvertes.fr/hal-01575651/document https://hal.archives-ouvertes.fr/hal-01575651/file/Barbaresi%26Hein_2017_Data-driven-Identification-of-German-Phrase-Compounds.pdf https://doi.org/10.1007/978-3-319-64206-2_22
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Die Korpusplattform des „Digitalen Wörterbuchs der deutschen Sprache“ (DWDS)
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In: ISSN: 0301-3294 ; EISSN: 1613-0626 ; Zeitschrift für Germanistische Linguistik ; https://hal.archives-ouvertes.fr/hal-01575661 ; Zeitschrift für Germanistische Linguistik, De Gruyter, 2017, Zeitschrift für Germanistische Linguistik, 45 (2), pp.327-344. ⟨10.1515/zgl-2017-0017⟩ ; https://www.degruyter.com/view/j/zfgl.2017.45.issue-2/zgl-2017-0017/zgl-2017-0017.xml (2017)
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Discriminating between Similar Languages using Weighted Subword Features
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In: Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2017) ; https://hal.archives-ouvertes.fr/hal-01575656 ; Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2017), Association for Computational Linguistics (ACL), Apr 2017, Valence, Spain. pp.184-189, ⟨10.18653/v1/W17-1223⟩ ; http://ttg.uni-saarland.de/vardial2017/ (2017)
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Interoperable annotation of (co)references in the Democrat project
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In: ISA-13 2017 - Proceedings of the 13th Joint ISO - ACL Workshop on Interoperable Semantic Annotation ; Thirteenth Joint ISO-ACL Workshop on Interoperable Semantic Annotation ; https://hal.archives-ouvertes.fr/hal-01583527 ; Thirteenth Joint ISO-ACL Workshop on Interoperable Semantic Annotation, ACL Special Interest Group on Computational Semantics (SIGSEM); ISO TC 37/SC 4 (Language Resources) WG 2, Sep 2017, Montpellier, France ; https://sigsem.uvt.nl/isa13/ (2017)
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Entity Recognition and Language Identification with FELTS
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In: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum ; CLEF 2017 ; https://hal-univ-avignon.archives-ouvertes.fr/hal-02133508 ; CLEF 2017, Sep 2017, Dublin, Ireland (2017)
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Towards a toolbox to map historical text collections
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In: 11th Workshop on Geographic Information Retrieval (GIR'17) ; https://hal.archives-ouvertes.fr/hal-01654526 ; 11th Workshop on Geographic Information Retrieval (GIR'17), Nov 2017, Heidelberg, Germany. ⟨10.1145/3155902.3155905⟩ (2017)
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