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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Information Extraction from Federal Open Market Committee Statements ... The 28th International Conference on Computational Linguistics 2020; Frunza, Oana. - : Underline Science Inc., 2020 BASE Show details 2 FNP-FNS-41 - Daniel@FinTOC’2 Shared Task: Title Detection and Structure Extraction ... The 28th International Conference on Computational Linguistics 2020; Giguet, Emmanuel; Lejeune, Gaël. - : Underline Science Inc., 2020 BASE Show details 3 Mitigating Silence in Compliance Terminology during Parsing of Utterances ... The 28th International Conference on Computational Linguistics 2020; de Peuter, Conrad; Manandise, Esme. - : Underline Science Inc., 2020 BASE Show details 4 Hierarchical summarization of financial reports with RUNNER ... The 28th International Conference on Computational Linguistics 2020; Litvak, Marina; Puchinski, Tzvi. - : Underline Science Inc., 2020 BASE Show details 5 Predicting Modality in Financial Dialogue ... The 28th International Conference on Computational Linguistics 2020; Stuckenschmidt, Heiner; Theil, Kilian. - : Underline Science Inc., 2020 BASE Show details 6 The Financial Document Structure Extraction Shared task: FinToc2020 ... The 28th International Conference on Computational Linguistics 2020; Bentabet, Najah-Imane; El-Haj, Mahmoud. - : Underline Science Inc., 2020 BASE Show details 7 Financial Document Causality Detection Shared Task (FinCausal 2020) ... The 28th International Conference on Computational Linguistics 2020; Abi Akl, Hanna; de Mazancourt, Hugues. - : Underline Science Inc., 2020 BASE Show details 8 FNP-FNS-40 - IIT_kgp at FinCausal 2020, Shared Task 1: Causality detection using Sentence Embeddings in Financial Reports ... The 28th International Conference on Computational Linguistics 2020; Mitra, Arka; Srivastava, Harshvardhan. - : Underline Science Inc., 2020 BASE Show details 9 A Computational Analysis of Financial and Environmental Narratives within Financial Reports and its Value for Investors ... The 28th International Conference on Computational Linguistics 2020; Armbrust, Felix; Klinger, Roman. - : Underline Science Inc., 2020 BASE Show details 10 Extracting Fine-Grained Economic Events from Business News ... The 28th International Conference on Computational Linguistics 2020; Hoste, Veronique; Jacobs, Gilles. - : Underline Science Inc., 2020 Abstract: Based on a recently developed fine-grained event extraction dataset for the economic domain, we present in a pilot study for supervised economic event extraction. We investigate how a state-of-the-art model for event extraction performs on the trigger and argument identification and classification. While F1-scores of above 50% are obtained on the task of trigger identification, we observe a large gap in performance compared to results on the benchmark ACE05 dataset. We show that single-token triggers do not provide sufficient discriminative information for a fine-grained event detection setup in a closed domain such as economics, since many classes have a large degree of lexico-semantic and contextual overlap. ... Keyword: Business Economics; Intelligent System; Natural Language Processing URL: https://underline.io/lecture/6524-extracting-fine-grained-economic-events-from-business-news https://dx.doi.org/10.48448/8w29-m446 BASE Hide details

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