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ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
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In: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) ; https://hal-universite-paris-saclay.archives-ouvertes.fr/hal-03650618 ; 2022 (2022)
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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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Morphologically Annotated Amharic Text Corpora
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In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal-univ-tlse2.archives-ouvertes.fr/hal-03362977 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event Canada, France. pp.2349-2355, ⟨10.1145/3404835.3463237⟩ (2021)
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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
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In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
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In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03418387 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2328-2334, ⟨10.1145/3404835.3463255⟩ (2021)
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Overview of SimpleText 2021 - CLEF Workshop on Text Simplification for Scientific Information Access
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21–24, 2021, Proceedings ; ISBN: 978-3-030-85251-1 ; 12th Conference and Labs of the Evaluation Forum (CLEF 2021) ; https://hal.archives-ouvertes.fr/hal-03637807 ; 12th Conference and Labs of the Evaluation Forum (CLEF 2021), Sep 2021, Bucharest, Romania. pp.432-449, ⟨10.1007/978-3-030-85251-1_27⟩ ; http://clef2021.clef-initiative.eu/ (2021)
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Application-Oriented Approach for Detecting Cyberaggression in Social Media
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In: International Conference on Applied Human Factors and Ergonomics ; https://hal.archives-ouvertes.fr/hal-02903422 ; International Conference on Applied Human Factors and Ergonomics, Jul 2020, San Diego, United States. pp.129-136, ⟨10.1007/978-3-030-51328-3_19⟩ ; https://link.springer.com/chapter/10.1007%2F978-3-030-51328-3_19 (2020)
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Capitalizing on a TREC Track to Build a Tweet Summarization Dataset
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In: CIRCLE 2020 ; Proceedings of the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020) ; Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020) ; https://hal.archives-ouvertes.fr/hal-03095613 ; Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Université de Toulouse, France, Jul 2020, Samatan, Gers, France. pp.1-9 ; http://ceur-ws.org/Vol-2621/CIRCLE20_20.pdf (2020)
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Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora
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In: Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings ; https://hal.archives-ouvertes.fr/hal-03108194 ; Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings, 12498, pp.317-330, 2020, Lecture Notes in Computer Science book series (LNCS), ⟨10.1007/978-3-030-63799-6_24⟩ ; https://link.springer.com/chapter/10.1007%2F978-3-030-63799-6_24 (2020)
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Neural models for the representation and matching of geotextual objects ; Modèles neuronaux pour la représentation et l'appariement d'objets géotextuels
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In: https://tel.archives-ouvertes.fr/tel-02979573 ; Interface homme-machine [cs.HC]. Université Paul Sabatier - Toulouse III, 2020. Français. ⟨NNT : 2020TOU30042⟩ (2020)
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Entity Linking for Historical Documents: Challenges and Solutions
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In: 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020 ; https://hal.archives-ouvertes.fr/hal-03034492 ; 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, 12504, Springer, pp.215-231, 2020, Lecture Notes in Computer Science, 978-3-030-64452-9. ⟨10.1007/978-3-030-64452-9_19⟩ (2020)
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents
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In: Conference and Labs of the Evaluation Forum (CLEF 2020) ; https://hal.archives-ouvertes.fr/hal-03026969 ; Conference and Labs of the Evaluation Forum (CLEF 2020), Sep 2020, Thessaloniki, Greece. pp.1-17, ⟨10.5281/zenodo.4068074⟩ ; http://ceur-ws.org/Vol-2696/paper_171.pdf (2020)
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Linking Named Entities across Languages using Multilingual Word Embeddings
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In: JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020 ; ACM/IEEE Joint Conference on Digital Libraries - JCDL 2020 ; https://hal.archives-ouvertes.fr/hal-03026933 ; ACM/IEEE Joint Conference on Digital Libraries - JCDL 2020, Aug 2020, Wuhan, Hubei - Virtual event, China. pp.329-332, ⟨10.1145/3383583.3398597⟩ ; https://dl.acm.org/doi/10.1145/3383583.3398597 (2020)
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| 14 |
Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project
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In: CIRCLE 2020 ; https://hal.archives-ouvertes.fr/hal-02877780 ; CIRCLE 2020, Iván Cantador; Max Chevalier; Massimo Melucci; Josiane Mothe, Jul 2020, Samatan, France ; http://ceur-ws.org/Vol-2621/ (2020)
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| 15 |
La loi de Zipf 70 ans après : pluridisciplinarité, modèles et controverses
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In: ISSN: 0336-1500 ; EISSN: 1778-7459 ; Communication & langages ; https://hal.archives-ouvertes.fr/hal-03150296 ; Communication & langages, Nec Plus, 2020, N°206 (4), pp.111. ⟨10.3917/comla1.206.0111⟩ (2020)
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CONFERENCE REPORT - Report on CLEF 2018: Experimental IR Meets Multilinguality, Multimodality, and Interaction
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In: ISSN: 0163-5840 ; Sigir Forum ; https://hal.archives-ouvertes.fr/hal-02442736 ; Sigir Forum, Association for Computing Machinery (ACM), 2019, 52 (2), pp.72-82. ⟨10.1145/3308774.3308785⟩ ; https://dl.acm.org/doi/10.1145/3308774.3308785 (2019)
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Studying the Variability of System Setting Effectiveness by Data Analytics and Visualization
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In: CLEF 2019: Experimental IR Meets Multilinguality, Multimodality, and Interaction ; Conference and Labs of the Evaluation Forum, Living Labs (CLEF 2019) ; https://hal.archives-ouvertes.fr/hal-02930098 ; Conference and Labs of the Evaluation Forum, Living Labs (CLEF 2019), Sep 2019, Lugano, Switzerland. pp.62-74, ⟨10.1007/978-3-030-28577-7_3⟩ (2019)
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Using language models to improve opinion detection
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In: ISSN: 0306-4573 ; Information Processing and Management ; https://hal.archives-ouvertes.fr/hal-02279437 ; Information Processing and Management, Elsevier, 2018, 54 (6), pp.958-968. ⟨10.1016/j.ipm.2018.07.001⟩ (2018)
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Abstract:
International audience ; Opinion mining is one of the most important research tasks in the information retrieval research community. With the huge volume of opinionated data available on the Web, approaches must be developed to differentiate opinion from fact. In this paper, we present a lexicon-based approach for opinion retrieval. Generally, opinion retrieval consists of two stages: relevance to the query and opinion detection. In our work, we focus on the second state which itself focusses on detecting opinionated documents . We compare the document to be analyzed with opinionated sources that contain subjective information. We hypothesize that a document with a strong similarity to opinionated sources is more likely to be opinionated itself. Typical lexicon-based approaches treat and choose their opinion sources according to their test collection, then calculate the opinion score based on the frequency of subjective terms in the document. In our work, we use different open opinion collections without any specific treatment and consider them as a reference collection. We then use language models to determine opinion scores. The analysis document and reference collection are represented by different language models (i.e., Dirichlet, Jelinek-Mercer and two-stage models). These language models are generally used in information retrieval to represent the relationship between documents and queries. However, in our study, we modify these language models to represent opinionated documents. We carry out several experiments using Text REtrieval Conference (TREC) Blogs 06 as our analysis collection and Internet Movie Data Bases (IMDB), Multi-Perspective Question Answering (MPQA) and CHESLY as our reference collection. To improve opinion detection, we study the impact of using different language models to represent the document and reference collection alongside different combinations of opinion and retrieval scores. We then use this data to deduce the best opinion detection models. Using the best models, our approach improves on the best baseline of TREC Blog (baseline4) by 30%.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Blog; Information retrieval; Language model; Opinion detection
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URL: https://hal.archives-ouvertes.fr/hal-02279437
https://hal.archives-ouvertes.fr/hal-02279437/document
https://doi.org/10.1016/j.ipm.2018.07.001
https://hal.archives-ouvertes.fr/hal-02279437/file/belbachir_22484.pdf
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| 19 |
Location extraction from tweets
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In: ISSN: 0306-4573 ; Information Processing and Management ; https://hal.archives-ouvertes.fr/hal-02640811 ; Information Processing and Management, Elsevier, 2018, 54 (2), pp.129-144. ⟨10.1016/j.ipm.2017.11.001⟩ (2018)
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Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2018, Avignon,France)
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In: ISSN: 0302-9743 ; Lecture Notes in Computer Science ; 9th International Conference of the CLEF Association (CLEF 2018) ; https://hal.archives-ouvertes.fr/hal-03044243 ; Bellot, Patrice; Trabelsi, Chiraz; Mothe, Josiane; Murtagh, Fionn; Nie, Jian-Yun; Soulier, Laure; Sanjuan, Eric; Cappellato, Linda; Ferro, Nicola. 9th International Conference of the CLEF Association (CLEF 2018), Sep 2018, Avignon, France. Lecture Notes in Computer Science, Springer Berlin / Heidelberg; Springer, 2018, Experimental IR Meets Multilinguality, Multimodality, and Interaction, 978-3-319-98931-0. ⟨10.1007/978-3-319-98932-7⟩ ; https://link.springer.com/book/10.1007%2F978-3-319-98932-7 (2018)
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