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start [2019/10/23 16:11] dargmints [POCI-01-0145-FEDER-031460] |
start [2022/10/14 16:17] (current) dargmints [DARGMINTS] |
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| ====== DARGMINTS ====== | ====== DARGMINTS ====== | ||
| - | ===== Discourse Analysis and Argumentation Mining from Text Sources ===== | + | **Discourse Analysis and Argumentation Mining from Text Sources**\\ |
| - | ==== POCI-01-0145-FEDER-031460 ==== | + | **POCI-01-0145-FEDER-031460**\\ |
| - | === 2018.10.01 – 2021.09.30 === | + | **2018.10.01 – 2022.07.31** |
| Natural language processing (NLP) received a strong push in the last decade, due to the abundance of web data, and leveraging advances on statistical machine learning. While many different NLP tasks have seen significant progress, issues like (a) handling figurative devices (e.g., irony or metaphor) in written text, or (b) document-level parsing of discourse and/or argumentation structures, remain significantly challenging. | Natural language processing (NLP) received a strong push in the last decade, due to the abundance of web data, and leveraging advances on statistical machine learning. While many different NLP tasks have seen significant progress, issues like (a) handling figurative devices (e.g., irony or metaphor) in written text, or (b) document-level parsing of discourse and/or argumentation structures, remain significantly challenging. | ||
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| We envision the development of new interactive visualizations for exploring argumentation patterns and processes. Such visualizations will be the basis for building appealing applications, that resort to historical data (news, parliamentary debate or on-line discussion archives), in areas related with media studies, political science or forensics (e.g. identifying opinion makers, detecting fallacies or radicalization processes), as well as applications specifically tailored for researchers in applied linguistics. | We envision the development of new interactive visualizations for exploring argumentation patterns and processes. Such visualizations will be the basis for building appealing applications, that resort to historical data (news, parliamentary debate or on-line discussion archives), in areas related with media studies, political science or forensics (e.g. identifying opinion makers, detecting fallacies or radicalization processes), as well as applications specifically tailored for researchers in applied linguistics. | ||
| - | [[team|Team]] | [[publications|Publications]] | + | [[team|Team]] | [[publications|Publications]] | [[theses|Theses]] | [[corpora|Corpora]] | [[prototypes|Prototypes]] | [[internal|Internal]] |
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