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07/27/2023
Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
Sign Language Translation (SLT) is a challenging task due to its cross-d...
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12/07/2022
WIDER CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Zero-shot cross-lingual named entity recognition (NER) aims at transferr...
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12/01/2022
Long-Document Cross-Lingual Summarization
Cross-Lingual Summarization (CLS) aims at generating summaries in one la...
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08/11/2022
Overview of CTC 2021: Chinese Text Correction for Native Speakers
In this paper, we present an overview of the CTC 2021, a Chinese text co...
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06/13/2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
This paper aims to advance the mathematical intelligence of machines by ...
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04/18/2022
Actions at the Edge: Jointly Optimizing the Resources in Multi-access Edge Computing
Multi-access edge computing (MEC) is an emerging paradigm that pushes re...
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04/15/2022
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition
Existing Chinese text error detection mainly focuses on spelling and sim...
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04/13/2022
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection
The same multi-word expressions may have different meanings in different...
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04/11/2022
HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity
This paper describes our system designed for SemEval-2022 Task 8: Multil...
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03/30/2022
TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models
Pre-trained language models have been prevailed in natural language proc...
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02/28/2022
Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training
Multilingual pre-trained language models (MPLMs) not only can handle tas...
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02/28/2022
CINO: A Chinese Minority Pre-trained Language Model
Multilingual pre-trained language models have shown impressive performan...
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02/10/2022
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities
Knowledge graph embedding (KGE) models learn the representation of entit...
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11/24/2021
Knowledge Enhanced Sports Game Summarization
Sports game summarization aims at generating sports news from live comme...
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10/12/2021
SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary
Sports game summarization aims to generate news articles from live text ...
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09/03/2021
Detecting Speaker Personas from Conversational Texts
Personas are useful for dialogue response prediction. However, the perso...
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08/26/2021
Understanding Attention in Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehensi...
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08/18/2021
Affective Decoding for Empathetic Response Generation
Understanding speaker's feelings and producing appropriate responses wit...
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06/27/2021
Multi-Modal Chorus Recognition for Improving Song Search
We discuss a novel task, Chorus Recognition, which could potentially ben...
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06/21/2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
The journey of reducing noise from distant supervision (DS) generated tr...
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06/21/2021
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training
With recent advances in distantly supervised (DS) relation extraction (R...
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05/19/2021
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
Persona can function as the prior knowledge for maintaining the consiste...
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05/10/2021
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehensi...
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10/06/2020
Program Enhanced Fact Verification with Verbalization and Graph Attention Network
Performing fact verification based on structured data is important for m...
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09/17/2020
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding
Few-learn learning (FSL) is one of the key future steps in machine learn...
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09/04/2019
Learning Dynamic Context Augmentation for Global Entity Linking
Despite of the recent success of collective entity linking (EL) methods,...
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06/13/2019
KCAT: A Knowledge-Constraint Typing Annotation Tool
Fine-grained Entity Typing is a tough task which suffers from noise samp...
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04/27/2019
Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference
Natural language inference (NLI) is among the most challenging tasks in ...
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04/24/2019
Condition-Transforming Variational AutoEncoder for Conversation Response Generation
This paper proposes a new model, called condition-transforming variation...
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08/21/2018
Gaussian Word Embedding with a Wasserstein Distance Loss
Comparing with word embedding that based on the point representation, di...
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09/29/2017
