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08/24/2023
Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation
Cross-modal alignment is one key challenge for Vision-and-Language Navig...
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08/09/2023
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling
Video Semantic Role Labeling (VidSRL) aims to detect the salient events ...
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08/07/2023
Towards General Text Embeddings with Multi-stage Contrastive Learning
We present GTE, a general-purpose text embedding model trained with mult...
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08/03/2023
XNLP: An Interactive Demonstration System for Universal Structured NLP
Structured Natural Language Processing (XNLP) is an important subset of ...
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07/25/2023
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm
In this paper, we conduct a holistic exploration of the Universal Decomp...
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05/21/2023
A Pilot Study on Dialogue-Level Dependency Parsing for Chinese
Dialogue-level dependency parsing has received insufficient attention, e...
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05/20/2023
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction
Latest efforts on cross-lingual relation extraction (XRE) aggressively l...
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05/20/2023
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination
In this work, we investigate a more realistic unsupervised multimodal ma...
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05/19/2023
Generating Visual Spatial Description via Holistic 3D Scene Understanding
Visual spatial description (VSD) aims to generate texts that describe th...
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04/19/2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
Aspect-based sentiment analysis (ABSA) aims at automatically inferring t...
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04/13/2023
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
Universally modeling all typical information extraction tasks (UIE) with...
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02/20/2023
Zero-Shot Information Extraction via Chatting with ChatGPT
Zero-shot information extraction (IE) aims to build IE systems from the ...
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12/02/2022
Improving Simultaneous Machine Translation with Monolingual Data
Simultaneous machine translation (SiMT) is usually done via sequence-lev...
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10/27/2022
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
Boundary information is critical for various Chinese language processing...
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10/23/2022
Extending Phrase Grounding with Pronouns in Visual Dialogues
Conventional phrase grounding aims to localize noun phrases mentioned in...
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10/20/2022
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation
Image-to-text tasks, such as open-ended image captioning and controllabl...
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10/06/2022
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
Conversational semantic role labeling (CSRL) is a newly proposed task th...
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08/27/2022
Domain-Specific NER via Retrieving Correlated Samples
Successful Machine Learning based Named Entity Recognition models could ...
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04/25/2022
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting
Self-augmentation has received increasing research interest recently to ...
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04/22/2022
Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations
Recent works of opinion expression identification (OEI) rely heavily on ...
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04/15/2022
On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART
Word ordering is a constrained language generation task taking unordered...
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02/17/2022
AISHELL-NER: Named Entity Recognition from Chinese Speech
Named Entity Recognition (NER) from speech is among Spoken Language Unde...
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01/11/2022
Quantifying Robustness to Adversarial Word Substitutions
Deep-learning-based NLP models are found to be vulnerable to word substi...
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12/19/2021
Unified Named Entity Recognition as Word-Word Relation Classification
So far, named entity recognition (NER) has been involved with three majo...
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09/25/2021
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
Frame semantic parsing is a semantic analysis task based on FrameNet whi...
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06/28/2021
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition
Research on overlapped and discontinuous named entity recognition (NER) ...
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05/31/2021
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition
Crowdsourcing is regarded as one prospective solution for effective supe...
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01/02/2021
End-to-end Semantic Role Labeling with Neural Transition-based Model
End-to-end semantic role labeling (SRL) has been received increasing int...
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08/24/2020
Cross-lingual Semantic Role Labeling with Model Transfer
Prior studies show that cross-lingual semantic role labeling (SRL) can b...
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06/19/2020
A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures
Syntactic and semantic parsing has been investigated for decades, which ...
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05/14/2020
APPCorp: A Corpus for Android Privacy Policy Document Structure Analysis
With the increasing popularity of mobile devices and the wide adoption o...
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05/14/2020
DRTS Parsing with Structure-Aware Encoding and Decoding
Discourse representation tree structure (DRTS) parsing is a novel semant...
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04/14/2020
Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus
Many efforts of research are devoted to semantic role labeling (SRL) whi...
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04/11/2020
End to End Chinese Lexical Fusion Recognition with Sememe Knowledge
In this paper, we present Chinese lexical fusion recognition, a new task...
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03/03/2020
Multi-Task Learning with Auxiliary Speaker Identification for Conversational Emotion Recognition
Conversational emotion recognition (CER) has attracted increasing intere...
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03/03/2020
Multi-Task Learning Network for Emotion Recognition in Conversation
Conversational emotion recognition (CER) has attracted increasing intere...
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07/22/2019
Syntax-aware Neural Semantic Role Labeling
Semantic role labeling (SRL), also known as shallow semantic parsing, is...
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05/08/2019
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations
Syntax has been demonstrated highly effective in neural machine translat...
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01/16/2018
Adversarial Learning for Chinese NER from Crowd Annotations
To quickly obtain new labeled data, we can choose crowdsourcing as an al...
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01/11/2018
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction
Distant supervised relation extraction is an efficient approach to scale...
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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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04/25/2017
Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks
While part-of-speech (POS) tagging and dependency parsing are observed t...
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08/27/2016