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20142024
most citedBeyond Bilinear: Generalized Multimodal Factorized High-order Pooling for Visual Question Answering

560 citations · 1.1k across the 56 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CL2021

Database Search Results Disambiguation for Task-Oriented Dialog Systems

Kun Qian, Ahmad Beirami, Satwik Kottur +5

As task-oriented dialog systems are becoming increasingly popular in our lives, more realistic tasks have been proposed and explored. However, new practical challenges arise. For i…

cs.CL2021

DG2: Data Augmentation Through Document Grounded Dialogue Generation

Qingyang Wu, Song Feng, Derek Chen +3

Collecting data for training dialog systems can be extremely expensive due to the involvement of human participants and need for extensive annotation. Especially in document-ground…

cs.CL2021★ 11 cited

AllWOZ: Towards Multilingual Task-Oriented Dialog Systems for All

Lei Zuo, Kun Qian, Bowen Yang +1

A commonly observed problem of the state-of-the-art natural language technologies, such as Amazon Alexa and Apple Siri, is that their services do not extend to most developing coun…

cs.CL2021★ 1 cited

Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information

Bowen Yang, Cong Han, Yu Li +2

Conversational recommendation systems (CRS) engage with users by inferring user preferences from dialog history, providing accurate recommendations, and generating appropriate resp…

cs.CL2021★ 7 cited

ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction

Xun Yuan, Derek Pham, Sam Davidson +1

Currently available grammatical error correction (GEC) datasets are compiled using well-formed written text, limiting the applicability of these datasets to other domains such as i…

cs.CL2021★ 1 cited

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation

Yu Li, Baolin Peng, Yelong Shen +4

Knowledge-grounded dialogue systems are challenging to build due to the lack of training data and heterogeneous knowledge sources. Existing systems perform poorly on unseen topics…