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Found 10 papers, 1 papers with code
Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model
Therefore, we propose a joint ABSA model, which not only enjoys the benefits of encoder sharing but also focuses on the difference to improve the effectiveness of the model.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization
Detailed ablation and visualization analysis are included to further demonstrate each of our proposed modules' effectiveness in our method.
Autonomous Driving
Data Augmentation
+1
Robotics
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment
This paper presents the design of a tune-free (human-out-of-the-loop parameter tuning) control framework, aiming at accelerating large scale autonomous driving system deployed on various vehicles and driving environments.
Document-level Neural Machine Translation with Document Embeddings
Standard neural machine translation (NMT) is on the assumption of document-level context independent.
Document-level Neural Machine Translation with Associated Memory Network
Most existing document-level NMT approaches are satisfied with a smattering sense of global document-level information, while this work focuses on exploiting detailed document-level context in terms of a memory network.
Controllable Dual Skew Divergence Loss for Neural Machine Translation
Our experiments indicate that switching to the DSD loss after the convergence of ML training helps models escape local optima and stimulates stable performance improvements.
Judging Chemical Reaction Practicality From Positive Sample only Learning
Chemical reaction practicality is the core task among all symbol intelligence based chemical information processing, for example, it provides indispensable clue for further automatic synthesis route inference.
Carrier Sentence Selection for Fill-in-the-blank Items
Fill-in-the-blank items are a common form of exercise in computer-assisted language learning systems.
Distractor Generation for Chinese Fill-in-the-blank Items
This paper reports the first study on automatic generation of distractors for fill-in-the-blank items for learning Chinese vocabulary.
A Reading Environment for Learners of Chinese as a Foreign Language
We present a mobile app that provides a reading environment for learners of Chinese as a foreign language.
