Abstract Acoustic event detection (AED) refers to the task of detecting target events in audios. It provides artificial intelligence systems the capability to better understand surrounding environments. In this talk, I will discuss our team’s[…]
Abstract: We introduce Vecalign, a novel bilingual sentence alignment method which is linear in time and space with respect to the number of sentences being aligned and which requires only bilingual sentence embeddings. On a[…]
Abstract: In this talk, I will mainly discuss a task-based approach to measure the effect of various pretraining objectives (e.g., language modeling, CCG supertagging) of sentence encoders on their understanding of function words. The tasks[…]
Abstract Spoken communication is basic to who we are. Neurological conditions that result in loss of speech can be devastating for affected patients. This talk will summarize recent efforts in decoding neural activity directly from[…]
Abstract Despite their often-discussed advantages, deep learning methods largely disregard theories of both learning and language. This makes their prediction behavior hard to understand and explain. In this talk, I will present a path toward[…]
Abstract In my talk I will overview five research contributions in the field of neural machine translation recently conducted with my colleagues at Amazon AI and my students at FBK. I will start presenting work on (i)[…]
Abstract In defining “language understanding” for the purposes of natural language processing (NLP), we must inevitably be informed by human cognition: the only existing system that has achieved language understanding. Use of human cognition to[…]
