4 citations · 10 across the 9 of their papers we have counts for
9 papers
User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue
Sam Davidson, Salvatore Romeo, Raphael Shu +4
One of the major impediments to the development of new task-oriented dialogue (TOD) systems is the need for human evaluation at multiple stages and iterations of the development pr…
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
Mujeen Sung, James Gung, Elman Mansimov +5
Intent classification (IC) plays an important role in task-oriented dialogue systems. However, IC models often generalize poorly when training without sufficient annotated examples…
Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11
James Gung, Raphael Shu, Emily Moeng +6
With increasing demand for and adoption of virtual assistants, recent work has investigated ways to accelerate bot schema design through the automatic induction of intents or the i…
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs
Raphael Shu, Elman Mansimov, Tamer Alkhouli +6
Functionality and dialogue experience are two important factors of task-oriented dialogue systems. Conventional approaches with closed schema (e.g., conversational semantic parsing…
Label Semantic Aware Pre-training for Few-shot Text Classification
Aaron Mueller, Jason Krone, Salvatore Romeo +4
In text classification tasks, useful information is encoded in the label names. Label semantic aware systems have leveraged this information for improved text classification perfor…
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
Sawsan Alqahtani, Garima Lalwani, Yi Zhang +2
Recent studies have proposed different methods to improve multilingual word representations in contextualized settings including techniques that align between source and target emb…
Tanbih: Get To Know What You Are Reading
Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño +10
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and ge…
Cross-Language Question Re-Ranking
Giovanni Da San Martino, Salvatore Romeo, Alberto Barron-Cedeno +4
We study how to find relevant questions in community forums when the language of the new questions is different from that of the existing questions in the forum. In particular, we…
Addressing Community Question Answering in English and Arabic
Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo +5
This paper studies the impact of different types of features applied to learning to re-rank questions in community Question Answering. We tested our models on two datasets released…