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05/25/2023
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis
Multimodal relation extraction (MRE) is the task of identifying the sema...
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05/22/2023
Non-Autoregressive Document-Level Machine Translation (NA-DMT): Exploring Effective Approaches, Challenges, and Opportunities
Non-autoregressive translation (NAT) models have been extensively invest...
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05/20/2023
LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4
Generative Pre-trained Transformer 4 (GPT-4) demonstrates impressive cha...
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05/08/2023
Target-Side Augmentation for Document-Level Machine Translation
Document-level machine translation faces the challenge of data sparsity ...
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05/08/2023
Token-level Fitting Issues of Seq2seq Models
Sequence-to-sequence (seq2seq) models have been widely used for natural ...
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04/07/2023
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4
Harnessing logical reasoning ability is a comprehensive natural language...
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10/14/2021
Solving Aspect Category Sentiment Analysis as a Text Generation Task
Aspect category sentiment analysis has attracted increasing research att...
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05/31/2021
G-Transformer for Document-level Machine Translation
Document-level MT models are still far from satisfactory. Existing work ...
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12/30/2020
SemGloVe: Semantic Co-occurrences for GloVe from BERT
GloVe learns word embeddings by leveraging statistical information from ...
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10/09/2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
AMR-to-text generation is used to transduce Abstract Meaning Representat...
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08/13/2020
Dialogue State Induction Using Neural Latent Variable Models
Dialogue state modules are a useful component in a task-oriented dialogu...
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08/16/2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
We focus on graph-to-sequence learning, which can be framed as transduci...
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08/14/2018
Two Local Models for Neural Constituent Parsing
Non-local features have been exploited by syntactic parsers for capturin...
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08/24/2017
Combining Discrete and Neural Features for Sequence Labeling
Neural network models have recently received heated research attention i...
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11/21/2016