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05/09/2020
Empowering Active Learning to Jointly Optimize System and User Demands
Existing approaches to active learning maximize the system performance b...
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11/23/2019
When is ACL's Deadline? A Scientific Conversational Agent
Our conversational agent UKP-ATHENA assists NLP researchers in finding a...
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09/05/2019
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
A robust evaluation metric has a profound impact on the development of t...
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09/03/2019
Better Rewards Yield Better Summaries: Learning to Summarise Without References
Reinforcement Learning (RL) based document summarisation systems yield s...
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08/29/2019
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning
Our proposed system FAMULUS helps students learn to diagnose based on au...
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07/30/2019
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation
Document summarisation can be formulated as a sequential decision-making...
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06/17/2019
Manipulating the Difficulty of C-Tests
We propose two novel manipulation strategies for increasing and decreasi...
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06/07/2019
Preference-based Interactive Multi-Document Summarisation
Interactive NLP is a promising paradigm to close the gap between automat...
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06/06/2019
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains
Many complex discourse-level tasks can aid domain experts in their work ...
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11/26/2018
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning
Diagnostic reasoning is a key component of many professions. To improve ...
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08/29/2018
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
We propose a method to perform automatic document summarisation without ...
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06/13/2018
A Retrospective Analysis of the Fake News Challenge Stance Detection Task
The 2017 Fake News Challenge Stage 1 (FNC-1) shared task addressed a sta...
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02/27/2018