25 citations · 49 across the 6 of their papers we have counts for
6 papers
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets
Henry Weld, Sijia Hu, Siqu Long +2
Natural language understanding typically maps single utterances to a dual level semantic frame, sentence level intent and slot labels at the word level. The best performing models…
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction
Soyeon Caren Han, Siqu Long, Henry Weld +1
When a human communicates with a machine using natural language on the web and online, how can it understand the human's intention and semantic context of their talk? This is an im…
Bi-directional Joint Neural Networks for Intent Classification and Slot Filling
Soyeon Caren Han, Siqu Long, Huichun Li +2
Intent classification and slot filling are two critical tasks for natural language understanding. Traditionally the two tasks proceeded independently. However, more recently joint…
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection
Henry Weld, Guanghao Huang, Jean Lee +6
Traditional toxicity detection models have focused on the single utterance level without deeper understanding of context. We introduce CONDA, a new dataset for in-game toxic langua…
A survey of joint intent detection and slot-filling models in natural language understanding
H. Weld, X. Huang, S. Long +2
Intent classification and slot filling are two critical tasks for natural language understanding. Traditionally the two tasks have been deemed to proceed independently. However, mo…