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09/09/2023
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering
Multi-modal keyphrase generation aims to produce a set of keyphrases tha...
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08/19/2023
Eva-KELLM: A New Benchmark for Evaluating Knowledge Editing of LLMs
Large language models (LLMs) possess a wealth of knowledge encoded in th...
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07/06/2023
On the Cultural Gap in Text-to-Image Generation
One challenge in text-to-image (T2I) generation is the inadvertent refle...
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06/02/2023
A Simple yet Effective Self-Debiasing Framework for Transformer Models
Current Transformer-based natural language understanding (NLU) models he...
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05/31/2023
A Sequence-to-Sequence Set Model for Text-to-Table Generation
Recently, the text-to-table generation task has attracted increasing att...
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05/26/2023
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation
k-Nearest neighbor machine translation (kNN-MT) has attracted increasing...
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05/25/2023
Revisiting Non-Autoregressive Translation at Scale
In real-world systems, scaling has been critical for improving the trans...
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05/13/2023
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training
Multilingual vision-language (V L) pre-training has achieved remarkabl...
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05/04/2023
From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Survey
Keyphrase prediction aims to generate phrases (keyphrases) that highly s...
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02/16/2023
Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production
Knowledge-aided dialogue response generation aims at augmenting chatbots...
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01/27/2023
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation
Neural chat translation (NCT) aims to translate a cross-lingual chat bet...
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11/26/2022
Towards Better Document-level Relation Extraction via Iterative Inference
Document-level relation extraction (RE) aims to extract the relations be...
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11/13/2022
WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation
Keyphrase generation aims to automatically generate short phrases summar...
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11/11/2022
Getting the Most out of Simile Recognition
Simile recognition involves two subtasks: simile sentence classification...
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10/18/2022
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
Most existing pre-trained language representation models (PLMs) are sub-...
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10/17/2022
Towards Robust k-Nearest-Neighbor Machine Translation
k-Nearest-Neighbor Machine Translation (kNN-MT) becomes an important res...
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03/17/2022
Type-Driven Multi-Turn Corrections for Grammatical Error Correction
Grammatical Error Correction (GEC) aims to automatically detect and corr...
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03/08/2022
A Variational Hierarchical Model for Neural Cross-Lingual Summarization
The goal of the cross-lingual summarization (CLS) is to convert a docume...
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02/28/2022
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation
Most dominant neural machine translation (NMT) models are restricted to ...
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12/15/2021
KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation
Generative commonsense reasoning requires machines to generate sentences...
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10/13/2021
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
Dominant sentence ordering models can be classified into pairwise orderi...
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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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09/02/2021
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Neural Chat Translation (NCT) aims to translate conversational text betw...
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06/11/2021
Towards User-Driven Neural Machine Translation
A good translation should not only translate the original content semant...
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06/11/2021
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation
A well-known limitation in pretrain-finetune paradigm lies in its inflex...
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06/01/2021
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
Due to the great potential in facilitating software development, code ge...
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03/05/2021
Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning
In aspect-based sentiment analysis (ABSA), many neural models are equipp...
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02/12/2021
Structural Information Preserving for Graph-to-Text Generation
The task of graph-to-text generation aims at producing sentences that pr...
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09/04/2020
Dynamic Context-guided Capsule Network for Multimodal Machine Translation
Multimodal machine translation (MMT), which mainly focuses on enhancing ...
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07/17/2020
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
Multi-modal neural machine translation (NMT) aims to translate source se...
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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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12/19/2019
Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
Simile recognition is to detect simile sentences and to extract simile c...
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12/16/2019
Iterative Dual Domain Adaptation for Neural Machine Translation
Previous studies on the domain adaptation for neural machine translation...
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12/16/2019
Graph-based Neural Sentence Ordering
Sentence ordering is to restore the original paragraph from a set of sen...
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12/07/2019
A Real-time Global Inference Network for One-stage Referring Expression Comprehension
Referring Expression Comprehension (REC) is an emerging research spot in...
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08/11/2019
Exploiting Temporal Relationships in Video Moment Localization with Natural Language
We address the problem of video moment localization with natural languag...
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06/20/2019
Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning
Benefiting from the excellent ability of neural networks on learning sem...
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06/04/2019
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis
In aspect-level sentiment classification (ASC), it is prevalent to equip...
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02/19/2019
Semantic Neural Machine Translation using AMR
It is intuitive that semantic representations can be useful for machine ...
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11/01/2018
Towards Linear Time Neural Machine Translation with Capsule Networks
In this study, we first investigate a novel capsule network with dynamic...
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10/30/2018
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
In this paper, we propose an additionsubtraction twin-gated recurrent ne...
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07/24/2018
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT
Although neural machine translation(NMT) yields promising translation pe...
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06/10/2018
Deconvolution-Based Global Decoding for Neural Machine Translation
A great proportion of sequence-to-sequence (Seq2Seq) models for Neural M...
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05/02/2018
Accelerating Neural Transformer via an Average Attention Network
With parallelizable attention networks, the neural Transformer is very f...
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01/16/2018
Asynchronous Bidirectional Decoding for Neural Machine Translation
The dominant neural machine translation (NMT) models apply unified atten...
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01/16/2018
Variational Recurrent Neural Machine Translation
Partially inspired by successful applications of variational recurrent n...
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04/27/2017
A GRU-Gated Attention Model for Neural Machine Translation
Neural machine translation (NMT) heavily relies on an attention network ...
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07/29/2016
Recurrent Neural Machine Translation
The vanilla attention-based neural machine translation has achieved prom...
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05/25/2016
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings
In this paper, we propose a bidimensional attention based recursive auto...
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05/25/2016
