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08/02/2023
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora
Generating visually grounded image captions with specific linguistic sty...
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05/27/2023
Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is widely used in various app...
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04/08/2023
An Empirical Study and Improvement for Speech Emotion Recognition
Multimodal speech emotion recognition aims to detect speakers' emotions ...
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11/22/2022
Differentiable Fuzzy 𝒜ℒ𝒞: A Neural-Symbolic Representation Language for Symbol Grounding
Neural-symbolic computing aims at integrating robust neural learning and...
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10/22/2022
Structure-Unified M-Tree Coding Solver for MathWord Problem
As one of the challenging NLP tasks, designing math word problem (MWP) s...
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10/18/2022
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
In recent years, vision and language pre-training (VLP) models have adva...
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10/09/2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Multi-Label Few-Shot Aspect Category Detection (FS-ACD) is a new sub-tas...
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04/20/2022
Analyzing the Intensity of Complaints on Social Media
Complaining is a speech act that expresses a negative inconsistency betw...
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04/05/2022
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation
Recently, parallel text generation has received widespread attention due...
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07/27/2021
Energy-based Unknown Intent Detection with Data Manipulation
Unknown intent detection aims to identify the out-of-distribution (OOD) ...
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04/11/2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
Transformer architecture achieves great success in abundant natural lang...
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03/21/2021
Non-Autoregressive Translation by Learning Target Categorical Codes
Non-autoregressive Transformer is a promising text generation model. How...
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03/16/2021
Dual Side Deep Context-aware Modulation for Social Recommendation
Social recommendation is effective in improving the recommendation perfo...
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11/01/2020
Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims at analyzing the sentiment o...
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11/01/2020
Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification
Aspect-level sentiment classification (ALSC) and aspect oriented opinion...
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10/23/2020
Attention Transfer Network for Aspect-level Sentiment Classification
Aspect-level sentiment classification (ASC) aims to detect the sentiment...
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10/09/2020
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction
Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims at extractin...
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09/21/2020
Alleviating the Inequality of Attention Heads for Neural Machine Translation
Recent studies show that the attention heads in Transformer are not equa...
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08/04/2020
Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring
Cross-prompt automated essay scoring (AES) requires the system to use no...
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04/02/2020
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
Existing question answering systems can only predict answers without exp...
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11/09/2019
A Reinforced Generation of Adversarial Samples for Neural Machine Translation
Neural machine translation systems tend to fail on less de-cent inputs d...
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09/10/2019
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation
In sequence labeling, previous domain adaptation methods focus on the ad...
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08/20/2019
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
Scenario-based question answering (SQA) has attracted increasing researc...
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07/06/2019
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Variational auto-encoders (VAEs) are widely used in natural language gen...
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05/30/2019
Adversarial Sub-sequence for Text Generation
Generative adversarial nets (GAN) has been successfully introduced for g...
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11/27/2017
Modeling Past and Future for Neural Machine Translation
Existing neural machine translation systems do not explicitly model what...
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08/05/2017
Neural Machine Translation with Word Predictions
In the encoder-decoder architecture for neural machine translation (NMT)...
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07/18/2017
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation
Pairwise ranking methods are the basis of many widely used discriminativ...
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02/28/2015