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Fine-Grained Information Extraction from User' Comments with Semantic Context Paths| old_uid | 19556 |
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| title | Fine-Grained Information Extraction from User' Comments with Semantic Context Paths |
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| start_date | 2021/10/15 |
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| schedule | 11h |
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| online | no |
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| location_info | salle R116 |
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| details | En ligne et en présentiel. La participation en présentiel nécessite la présentation d'un passe sanitaire et une inscription préalable : https://framaforms.org/seminaire-ixxi-ia-langage-15102021-1633075187. Pour la connexion : Lien du séminaire : https://cnrs.zoom.us/j/99310242594?pwd=QzNUdU40eUx0ZUIxMzB4REU4dUlPZz09 - Mot de passe : Xi03Ch |
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| summary | Supervised methods provide the best performances for Information Extraction (IE), but require labeled data that is costly to create.
We introduce a new IE task, Semantic Context Path (SCP) tagging, that extracts richer information than simple named entity recognition, while allowing for easier creation of training data than for relation extraction.
In this presentation, we (1) define the SCP tagging task, (2) describe an efficient method to create training data for the task,
and (3) design and evaluate baselines extraction models for SCP tagging on English and Korean.
These models are integrated into a dedicated map interface allowing semantic navigation through user' comments. |
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| responsibles | <not specified> |
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