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Found 17 papers, 2 papers with code
VK-G2T: Vision and Context Knowledge enhanced Gloss2Text
Existing sign language translation methods follow a two-stage pipeline: first converting the sign language video to a gloss sequence (i. e. Sign2Gloss) and then translating the generated gloss sequence into a spoken language sentence (i. e. Gloss2Text).
CASEIN: Cascading Explicit and Implicit Control for Fine-grained Emotion Intensity Regulation
However, these high-level semantic probabilities are often inaccurate and unsmooth at the phoneme level, leading to bias in learning.
Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain
This task is non-trivial, due to three challenges: the logic of the generated text, unstructured style reference, and biased training samples.
Towards Zero-Shot Personalized Table-to-Text Generation with Contrastive Persona Distillation
Specifically, tabular data and persona information are firstly represented as latent variables separately.
COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation
To address this issue, we propose a novel framework called COOP (DeCOupling and COupling of Whole-Body GrasPing Pose Generation) to synthesize life-like whole-body poses that cover the widest range of human grasping capabilities.
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning
Our proposed framework learns through real-time interactions between the digital human and customers dynamically through the state-of-art RL algorithms, combined with multimodal embedding and graph embedding, to improve the accuracy of personalization and thus enable the digital human agent to timely catch the attention of the customer.
Dual Preference Distribution Learning for Item Recommendation
Moreover, we can summarize a preferred attribute profile for each user, depicting his/her preferred item attributes.
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce
Live streaming is becoming an increasingly popular trend of sales in E-commerce.
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation
With these two synergic representations, we then regroup these phrases into a fine-grained plan, based on which we generate the final long text.
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts
Each one-to-one mapping is associated with a conditional generation pattern and is modeled with an expert in SPMoE.
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
Nevertheless, most existing VLP approaches have not fully utilized the intrinsic knowledge within the image-text pairs, which limits the effectiveness of the learned alignments and further restricts the performance of their models.
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach
This pipeline approach, however, is undesired in mining the most appropriate QA pairs from documents since it ignores the connection between question generation and answer extraction, which may lead to incompatible QA pair generation, i. e., the selected answer span is inappropriate for question generation.
Predict-then-Decide: A Predictive Approach for Wait or Answer Task in Dialogue Systems
More specifically, we take advantage of a decision model to help the dialogue system decide whether to wait or answer.
"Wait, I'm Still Talking!" Predicting the Dialogue Interaction Behavior Using Imagine-Then-Arbitrate Model
And the arbitrator decides whether to wait or to make a response to the user directly.
A Deep Cascade Model for Multi-Document Reading Comprehension
To address this problem, we develop a novel deep cascade learning model, which progressively evolves from the document-level and paragraph-level ranking of candidate texts to more precise answer extraction with machine reading comprehension.
Ranked #2 on
Question Answering
on MS MARCO
Memory-augmented Dialogue Management for Task-oriented Dialogue Systems
Dialogue management (DM) decides the next action of a dialogue system according to the current dialogue state, and thus plays a central role in task-oriented dialogue systems.
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience
We present AliMe Assist, an intelligent assistant designed for creating an innovative online shopping experience in E-commerce.
