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08/15/2023
Enhancing Visually-Rich Document Understanding via Layout Structure Modeling
In recent years, the use of multi-modal pre-trained Transformers has led...
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07/02/2023
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
Optimizer is an essential component for the success of deep learning, wh...
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07/01/2023
BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer
BatGPT is a large-scale language model designed and trained jointly by W...
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06/19/2023
FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction
Universal Information Extraction (UIE) has been introduced as a unified ...
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05/26/2023
Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models
With the widespread use of large language models (LLMs) in NLP tasks, re...
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03/08/2023
Centroid-centered Modeling for Efficient Vision Transformer Pre-training
Masked Image Modeling (MIM) is a new self-supervised vision pre-training...
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08/23/2022
Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense Reasoning
Commonsense reasoning is an appealing topic in natural language processi...
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04/17/2022
Nested Named Entity Recognition as Holistic Structure Parsing
As a fundamental natural language processing task and one of core knowle...
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01/04/2022
Semantics-Preserved Distortion for Personal Privacy Protection
Privacy protection is an important and concerning topic in Federated Lea...
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11/18/2021
Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model
Aspect-based sentiment analysis (ABSA) task consists of three typical su...
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10/29/2021
Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence
Unsupervised constituency parsing has been explored much but is still fa...
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10/04/2021
A Novel Metric for Evaluating Semantics Preservation
In this paper, we leverage pre-trained language models (PLMs) to precise...
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09/14/2021
Sparse Fuzzy Attention for Structured Sentiment Analysis
Attention scorers have achieved success in parsing tasks like semantic a...
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05/29/2021
Grammatical Error Correction as GAN-like Sequence Labeling
In Grammatical Error Correction (GEC), sequence labeling models enjoy fa...
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05/20/2021
Head-driven Phrase Structure Parsing in O(n^3) Time Complexity
Constituent and dependency parsing, the two classic forms of syntactic p...
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04/19/2021
Neural Unsupervised Semantic Role Labeling
The task of semantic role labeling (SRL) is dedicated to finding the pre...
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02/11/2021
Text Compression-aided Transformer Encoding
Text encoding is one of the most important steps in Natural Language Pro...
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12/27/2020
Adaptive Convolution for Semantic Role Labeling
Semantic role labeling (SRL) aims at elaborating the meaning of a senten...
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12/24/2020
Cross-lingual Dependency Parsing as Domain Adaptation
In natural language processing (NLP), cross-lingual transfer learning is...
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10/11/2020
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task
In this paper, we introduced our joint team SJTU-NICT 's participation i...
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10/09/2020
High-order Semantic Role Labeling
Semantic role labeling is primarily used to identify predicates, argumen...
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09/16/2020
Document-level Neural Machine Translation with Document Embeddings
Standard neural machine translation (NMT) is on the assumption of docume...
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09/12/2020
Syntax Role for Neural Semantic Role Labeling
Semantic role labeling (SRL) is dedicated to recognizing the semantic pr...
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04/05/2020
Reference Language based Unsupervised Neural Machine Translation
Exploiting common language as an auxiliary for better translation has a ...
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12/27/2019
Explicit Sentence Compression for Neural Machine Translation
State-of-the-art Transformer-based neural machine translation (NMT) syst...
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11/20/2019
Global Greedy Dependency Parsing
Most syntactic dependency parsing models may fall into one of two catego...
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11/07/2019
Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank
The latest developments in neural semantic role labeling (SRL), includin...
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10/31/2019
Document-level Neural Machine Translation with Inter-Sentence Attention
Standard neural machine translation (NMT) is on the assumption of docume...
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09/18/2019
Subword ELMo
Embedding from Language Models (ELMo) has shown to be effective for impr...
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09/05/2019
Semantics-aware BERT for Language Understanding
The latest work on language representations carefully integrates context...
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09/03/2019
Modeling Named Entity Embedding Distribution into Hypersphere
This work models named entity distribution from a way of visualizing top...
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09/01/2019
Syntax-aware Multilingual Semantic Role Labeling
Recently, semantic role labeling (SRL) has earned a series of success wi...
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08/30/2019
Parsing All: Syntax and Semantics, Dependencies and Spans
Both syntactic and semantic structures are key linguistic contextual clu...
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01/16/2019
Dependency or Span, End-to-End Uniform Semantic Role Labeling
Semantic role labeling (SRL) aims to discover the predicateargument stru...
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11/06/2018
Effective Subword Segmentation for Text Comprehension
Character-level representations have been broadly adopted to alleviate t...
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09/08/2018
Attentive Semantic Role Labeling with Boundary Indicator
The goal of semantic role labeling (SRL) is to discover the predicate-ar...
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09/08/2018
I Know What You Want: Semantic Learning for Text Comprehension
Who did what to whom is a major focus in natural language understanding,...
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08/11/2018
