most citedBERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer

11 citations · 14 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2019

DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks

Semih Yavuz, Abhinav Rastogi, Guan-Lin Chao +1

Recent advances in neural sequence-to-sequence models have led to promising results for several language generation-based tasks, including dialogue response generation, summarizati…

cs.CL2019

Learning Question-Guided Video Representation for Multi-Turn Video Question Answering

Guan-Lin Chao, Abhinav Rastogi, Semih Yavuz +3

Understanding and conversing about dynamic scenes is one of the key capabilities of AI agents that navigate the environment and convey useful information to humans. Video question…

cs.CL201911 cited

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer

Guan-Lin Chao, Ian Lane

An important yet rarely tackled problem in dialogue state tracking (DST) is scalability for dynamic ontology (e.g., movie, restaurant) and unseen slot values. We focus on a specifi…

eess.AS20193 cited

Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments

Guan-Lin Chao, William Chan, Ian Lane

Speech recognition in cocktail-party environments remains a significant challenge for state-of-the-art speech recognition systems, as it is extremely difficult to extract an acoust…

cs.MM2016

City-Identification of Flickr Videos Using Semantic Acoustic Features

Benjamin Elizalde, Guan-Lin Chao, Ming Zeng +1

City-identification of videos aims to determine the likelihood of a video belonging to a set of cities. In this paper, we present an approach using only audio, thus we do not use a…