Papers by Chala Fufa
To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints (2020.emnlp-main)
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| Challenge: | Existing models for date-time entity extraction from text are task agnostic, resulting in insufficient results for task specific date-timing extraction. |
| Approach: | They propose a model for extracting subset of date-time entities from text and their negation constraints. |
| Outcome: | The proposed model achieves an absolute gain of 19% f-score points compared to baseline methods in detecting date-time entities relevant to scheduling meetings and a 4% improvement over baseline methods for detecting negation constraints over date-timing entities. |
ScopeIt: Scoping Task Relevant Sentences in Documents (2020.coling-industry)
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| Challenge: | a problem faced by conversational agents working with large documents is the frequent presence of information that is irrelevant to the agent. |
| Approach: | They propose a neural model for scoping relevant information from a large document . they show that the model performs better with emails than existing baselines . |
| Outcome: | The proposed model improves intent detection and entity extraction tasks without drop in recall. |