From the 1 of 1.2k papers with an AI index.
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- Peking UniversityCN331 papers
- Tsinghua UniversityCN197 papers
- Institute of High Energy PhysicsCN194 papers
- Joint Institute for Nuclear ResearchRU188 papers
- Carnegie Mellon UniversityUS187 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT184 papers
- Indian Institute of Technology MadrasIN180 papers
- University of MinnesotaUS163 papers
- Chinese Academy of SciencesCN160 papers
- University of Science and Technology of ChinaCN158 papers
- University of Chinese Academy of SciencesCN156 papers
- Seoul National UniversityKR146 papers
33 papers · 1 filter
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
Zhijun Chen, Hailong Sun, Wanhao Zhang +3
We propose a neuralized undirected graphical model called Neural-Hidden-CRF to solve the weakly-supervised sequence labeling problem. Under the umbrella of probabilistic undirected…
HanoiT: Enhancing Context-aware Translation via Selective Context
Jian Yang, Yuwei Yin, Shuming Ma +7
Context-aware neural machine translation aims to use the document-level context to improve translation quality. However, not all words in the context are helpful. The irrelevant or…
Rationalizing Predictions by Adversarial Information Calibration
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Explaining the predictions of AI models is paramount in safety-critical applications, such as in legal or medical domains. One form of explanation for a prediction is an extractive…
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation
Jian Yang, Yuwei Yin, Shuming Ma +5
Most translation tasks among languages belong to the zero-resource translation problem where parallel corpora are unavailable. Multilingual neural machine translation (MNMT) enable…
HLT-MT: High-resource Language-specific Training for Multilingual Neural Machine Translation
Jian Yang, Yuwei Yin, Shuming Ma +3
Multilingual neural machine translation (MNMT) trained in multiple language pairs has attracted considerable attention due to fewer model parameters and lower training costs by sha…
GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation
Jian Yang, Yuwei Yin, Liqun Yang +5
Transformer structure, stacked by a sequence of encoder and decoder network layers, achieves significant development in neural machine translation. However, vanilla Transformer mai…