Papers with recurrent network
Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection (P18-1)
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| Challenge: | Recent studies show that neural networks can be used for event detection but can be contaminated by spurious features. |
| Approach: | They propose a self-regulated learning approach by utilizing a generative adversarial network to generate spurious features. |
| Outcome: | The proposed method is highly effective and adaptable on the ACE 2005 and TAC-KBP 2015 corpora. |
Session-level Language Modeling for Conversational Speech (D18-1)
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| Challenge: | Xiong et al., 2017) generalizes language models for conversational speech recognition . recurrent neural networks (RNNs) read a list of words sequentially and predict the next word at each position. |
| Approach: | They propose to generalize language models for conversational speech recognition to capture conversation-level phenomena such as adjacency pairs, lexical entrainment, and topical coherence. |
| Outcome: | The proposed model reduces perplexity and improves word error rate over standard models in the conversational telephone speech domain. |
Understanding Procedural Text using Interactive Entity Networks (2020.emnlp-main)
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| Challenge: | Recent efforts to track multiple entities in a procedural text treat each entity separately . e.g., scientific articles, instruction books, recipes, often contain multiple entities involved . |
| Approach: | They propose a recurrent network with memory equipped cells for state tracking . they maintain different attention matrices through specific memories to model different types of entity interactions . |
| Outcome: | The proposed model outperforms state-of-the-art models on a benchmark dataset. |