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1
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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2
Signed Coreference Resolution ...
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3
Backtranslation in Neural Morphological Inflection ...
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4
Rule-based Morphological Inflection Improves Neural Terminology Translation ...
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5
Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
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6
A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ...
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7
Automatic Error Type Annotation for Arabic ...
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8
Developing Conversational Data and Detection of Conversational Humor in Telugu ...
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9
Cross-document Event Identity via Dense Annotation ...
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10
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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11
(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys ...
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12
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
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13
Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
Abstract: We consider the problem of topic-focused ab- stractive summarization, where the goal is to generate an abstractive summary focused on a particular topic, a phrase of one or multiple words. We hypothesize that the task of generating topic-focused summaries can be improved by showing the model what it must not focus on. We introduce a deep reinforcement learning approach to topic-focused abstractive summarization, trained on rewards with a novel negative example baseline. We define the input in this problem as the source text preceded by the topic. We adapt the CNN-Daily Mail and New York Times summarization datasets for this task. We then show through experiments on existing rewards that the use of a negative example baseline can outperform the use of a self-critical baseline, in ROUGE, BERTSCORE, and human evaluation metrics. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization
URL: https://underline.io/lecture/39831-rewards-with-negative-examples-for-reinforced-topic-focused-abstractive-summarization
https://dx.doi.org/10.48448/xfsb-0734
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14
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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15
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
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16
HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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17
Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
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18
Detecting Gender Bias using Explainability ...
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19
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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20
Blindness to Modality Helps Entailment Graph Mining ...
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