Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems

no code implementations • NAACL 2021 • Tong Wang, Jiangning Chen, Mohsen Malmir, Shuyan Dong, Xin He, Han Wang, Chengwei Su, Yue Liu, Yang Liu

In dialog systems, the Natural Language Understanding (NLU) component typically makes the interpretation decision (including domain, intent and slots) for an utterance before the mentioned entities are resolved.

Entity Resolution intent-classification +2

Video Moment Retrieval via Natural Language Queries

no code implementations • 4 Sep 2020 • Xinli Yu, Mohsen Malmir, Cynthia He, Yue Liu, Rex Wu

However, the inference time will not be a problem for our model since our model has a simple architecture which enables efficient training and inference.

Moment Retrieval Natural Language Queries +1

Belief Tree Search for Active Object Recognition

no code implementations • 13 Aug 2017 • Mohsen Malmir, Garrison W. Cottrell

We show that by optimizing the observation function and retraining the supervised LSTM network, the AOR performance on the test set improves significantly.

Object Object Recognition +1

Deep Active Object Recognition by Joint Label and Action Prediction

no code implementations • 17 Dec 2015 • Mohsen Malmir, Karan Sikka, Deborah Forster, Ian Fasel, Javier R. Movellan, Garrison W. Cottrell

The results of experiments suggest that the proposed model equipped with Dirichlet state encoding is superior in performance, and selects images that lead to better training and higher accuracy of label prediction at test time.

Object Object Recognition