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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; Vanetik, Natalia. - : Underline Science Inc., 2020 Abstract: With the constantly growing amount of information, the need arises to automatically summarize this written information. One of the challenges in the summary is that it’s difficult to generalize. For example, summarizing a news article is very different from summarizing a financial earnings report. This paper reports an approach for summarizing financial texts, which are different from the documents from other domains at least in three parameters: length, structure, and format. Our approach considers these parameters, it is adapted to hierarchical structure of sections, document length, and special “language”. The approach builds a hierarchical summary, visualized as a tree with summaries under different discourse topics. The approach was evaluated using extrinsic and intrinsic automated evaluations, which are reported in this paper. As all participants of the Financial Narrative Summarisation (FNS 2020) shared task, we used FNS2020 dataset for evaluations. ... Keyword: Business Economics; Intelligent System; Natural Language Processing URL: https://underline.io/lecture/6522-hierarchical-summarization-of-financial-reports-with-runner https://dx.doi.org/10.48448/ed1s-0j69 BASE Hide 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 BASE Show details

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