Bohan Li

An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation

2019 · arXiv (Cornell University)

In this work, we propose a method for neural dialogue response generation that allows not only generating semantically reasonable responses according to the dialogue history, but also explicitly controlling the sentiment of the response via …

The OL-DAWE Model: Tweet Polarity Sentiment Analysis With Data Augmentation

2020 · IEEE Access

Introducing negative items into sentences can shift the polarity of emotional words and leads to misclassification. Therefore, dealing with the negative item is indispensable to the analysis of the polarity of tweets. This paper first …

On the Sentence Embeddings from Pre-trained Language Models

2020 · arXiv (Cornell University)

Pre-trained contextual representations like BERT have achieved great success in natural language processing. However, the sentence embeddings from the pre-trained language models without fine-tuning have been found to poorly capture semantic meaning of sentences. In …

CodecSlime: Temporal Redundancy Compression of Neural Speech Codec via Dynamic Frame Rate

2026

Neural speech codecs have been widely used in audio compression and various downstream tasks. Current mainstream codecs are fixed-frame-rate (FFR), which allocate the same number of tokens to every equal-duration slice. However, speech is inherently …

Data augmentation approaches in natural language processing: A survey

2022 · AI Open

As an effective strategy, data augmentation (DA) alleviates data scarcity scenarios where deep learning techniques may fail. It is widely applied in computer vision then introduced to natural language processing and achieves improvements in many …