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08/26/2022
SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset
As the first session-level Chinese dataset, CHASE contains two separate ...
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07/28/2022
An Interpretability Evaluation Benchmark for Pre-trained Language Models
While pre-trained language models (LMs) have brought great improvements ...
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05/23/2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP
While there is increasing concern about the interpretability of neural m...
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04/26/2022
Faster and Better Grammar-based Text-to-SQL Parsing via Clause-level Parallel Decoding and Alignment Loss
Grammar-based parsers have achieved high performance in the cross-domain...
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03/23/2022
Unified Structure Generation for Universal Information Extraction
Information extraction suffers from its varying targets, heterogeneous s...
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03/17/2022
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation
Despite recent progress of pre-trained language models on generating flu...
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03/17/2022
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning
Vision-Language Pre-training (VLP) has achieved impressive performance o...
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03/17/2022
DU-VLG: Unifying Vision-and-Language Generation via Dual Sequence-to-Sequence Pre-training
Due to the limitations of the model structure and pre-training objective...
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10/25/2021
SgSum: Transforming Multi-document Summarization into Sub-graph Selection
Most of existing extractive multi-document summarization (MDS) methods s...
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09/17/2021
A Multimodal Sentiment Dataset for Video Recommendation
Recently, multimodal sentiment analysis has seen remarkable advance and ...
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09/14/2021
Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward
Controllable text generation is an appealing but challenging task, which...
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09/13/2021
Fine-grained Entity Typing via Label Reasoning
Conventional entity typing approaches are based on independent classific...
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08/30/2021
DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation
While deep learning models have greatly improved the performance of most...
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05/18/2021
Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching
This paper proposes an approach to Dense Video Captioning (DVC) without ...
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03/05/2021
Syntactic and Semantic-driven Learning for Open Information Extraction
One of the biggest bottlenecks in building accurate, high coverage neura...
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03/03/2021
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
Data augmentation has attracted a lot of research attention in the deep ...
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12/31/2020
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
Existed pre-training methods either focus on single-modal tasks or multi...
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09/02/2020
A Practical Chinese Dependency Parser Based on A Large-scale Dataset
Dependency parsing is a longstanding natural language processing task, w...
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05/20/2020
Leveraging Graph to Improve Abstractive Multi-Document Summarization
Graphs that capture relations between textual units have great benefits ...
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05/05/2020
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer
Unsupervised style transfer aims to change the style of an input sentenc...
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05/16/2018
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension
While sophisticated neural-based techniques have been developed in readi...
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11/14/2017