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09/19/2023
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch
Large language models (LLMs) with billions of parameters have demonstrat...
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06/15/2023
Opinion Tree Parsing for Aspect-based Sentiment Analysis
Extracting sentiment elements using pre-trained generative models has re...
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08/19/2022
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation
It is well known that translations generated by an excellent document-le...
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08/02/2022
Joint Learning-based Causal Relation Extraction from Biomedical Literature
Causal relation extraction of biomedical entities is one of the most com...
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03/07/2022
Pre-trained Token-replaced Detection Model as Few-shot Learner
Pre-trained masked language models have demonstrated remarkable ability ...
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01/04/2021
Are Eliminated Spans Useless for Coreference Resolution? Not at all
Various neural-based methods have been proposed so far for joint mention...
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10/05/2020
Improving AMR Parsing with Sequence-to-Sequence Pre-training
In the literature, the research on abstract meaning representation (AMR)...
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05/06/2020
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
Due to its great importance in deep natural language understanding and v...
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11/22/2019
A Discrete CVAE for Response Generation on Short-Text Conversation
Neural conversation models such as encoder-decoder models are easy to ge...
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10/21/2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning
Recently, neural networks have shown promising results on Document-level...
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08/31/2019
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
Recent studies on AMR-to-text generation often formalize the task as a s...
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08/28/2019
Emotion Detection with Neural Personal Discrimination
There have been a recent line of works to automatically predict the emot...
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11/30/2017
Cache-based Document-level Neural Machine Translation
Sentences in a well-formed text are connected to each other via various ...
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05/02/2017
