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08/22/2023
HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge
The semantic parsing-based method is an important research branch for kn...
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07/20/2023
Learning and Evaluating Human Preferences for Conversational Head Generation
A reliable and comprehensive evaluation metric that aligns with manual p...
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07/05/2023
Interactive Conversational Head Generation
We introduce a new conversation head generation benchmark for synthesizi...
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06/21/2023
Visual-Aware Text-to-Speech
Dynamically synthesizing talking speech that actively responds to a list...
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05/24/2023
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
Cross-lingual named entity recognition (NER) aims to train an NER system...
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10/20/2022
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
This paper presents ReasonFormer, a unified reasoning framework for mirr...
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10/19/2022
MuGER^2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering
Hybrid question answering (HQA) aims to answer questions over heterogene...
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10/15/2022
UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation
Question answering requiring discrete reasoning, e.g., arithmetic comput...
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04/27/2022
Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
Document-level relation extraction (DocRE) aims to determine the relatio...
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04/12/2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition
Few-shot named entity recognition (NER) systems aim at recognizing novel...
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04/12/2022
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection
Compared with unimodal data, multimodal data can provide more features t...
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12/27/2021
Responsive Listening Head Generation: A Benchmark Dataset and Baseline
Responsive listening during face-to-face conversations is a critical ele...
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08/20/2021
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation
Conversation generation as a challenging task in Natural Language Genera...
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08/18/2021
EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension
Reasoning machine reading comprehension (R-MRC) aims to answer complex q...
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06/03/2021
Discriminative Reasoning for Document-level Relation Extraction
Document-level relation extraction (DocRE) models generally use graph ne...
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05/26/2021
Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction
Great progress has been made in unsupervised bilingual lexicon induction...
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03/16/2021
Gumbel-Attention for Multi-modal Machine Translation
Multi-modal machine translation (MMT) improves translation quality by in...
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12/21/2020
Document-Level Relation Extraction with Reconstruction
In document-level relation extraction (DocRE), graph structure is genera...
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10/22/2020
AI-lead Court Debate Case Investigation
The multi-role judicial debate composed of the plaintiff, defendant, and...
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10/22/2020
Cross Copy Network for Dialogue Generation
In the past few years, audiences from different fields witness the achie...
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10/21/2020
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training
This paper aims to enhance the few-shot relation classification especial...
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10/15/2020
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
Recent studies show that crowd-sourced Natural Language Inference (NLI) ...
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04/29/2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
With the recent proliferation of the use of text classifications, resear...
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04/21/2020
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation
Unsupervised neural machine translation (UNMT) has recently achieved rem...
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04/09/2020
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
Unsupervised neural machine translation (UNMT) that relies solely on mas...
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04/05/2020
Understanding Learning Dynamics for Neural Machine Translation
Despite the great success of NMT, there still remains a severe challenge...
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04/05/2020
Detecting and Understanding Generalization Barriers for Neural Machine Translation
Generalization to unseen instances is our eternal pursuit for all data-d...
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03/31/2020
Look-into-Object: Self-supervised Structure Modeling for Object Recognition
Most object recognition approaches predominantly focus on learning discr...
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02/28/2020
Modeling Future Cost for Neural Machine Translation
Existing neural machine translation (NMT) systems utilize sequence-to-se...
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02/28/2020
Robust Unsupervised Neural Machine Translation with Adversarial Training
Unsupervised neural machine translation (UNMT) has recently attracted gr...
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02/07/2020
Multimodal Matching Transformer for Live Commenting
Automatic live commenting aims to provide real-time comments on videos f...
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09/10/2019
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability
Natural language inference (NLI) aims at predicting the relationship bet...
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09/03/2019
Duality Regularization for Unsupervised Bilingual Lexicon Induction
Unsupervised bilingual lexicon induction naturally exhibits duality, whi...
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08/26/2019
An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation
Domain adaptation methods have been well-studied in supervised neural ma...
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05/15/2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
Natural Language Sentence Matching (NLSM) has gained substantial attenti...
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07/06/2018
Neural Document Summarization by Jointly Learning to Score and Select Sentences
Sentence scoring and sentence selection are two main steps in extractive...
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05/29/2018
Table-to-Text: Describing Table Region with Natural Language
In this paper, we present a generative model to generate a natural langu...
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11/12/2017
Syntax-Directed Attention for Neural Machine Translation
Attention mechanism, including global attention and local attention, pla...
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08/28/2017
Automatic Dataset Augmentation
Large scale image dataset and deep convolutional neural network (DCNN) a...
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12/01/2015
Augmenting Phrase Table by Employing Lexicons for Pivot-based SMT
Pivot language is employed as a way to solve the data sparseness problem...
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12/17/2013