research
∙
08/15/2023
The Regular Expression Inference Challenge
We propose regular expression inference (REI) as a challenge for code/la...
share
research
∙
07/26/2023
Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems
Creating high-quality annotated data for task-oriented dialog (ToD) is k...
research
∙
12/10/2022
Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access
To alleviate the problem of structured databases' limited coverage, rece...
research
∙
10/22/2022
EntityCS: Improving Zero-Shot Cross-lingual Transfer with Entity-Centric Code Switching
Accurate alignment between languages is fundamental for improving cross-...
research
∙
10/22/2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
Curriculum Learning (CL) is a technique of training models via ranking e...
research
∙
10/12/2022
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study
Multihop Question Answering is a complex Natural Language Processing tas...
research
∙
04/12/2022
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking
In a task-oriented dialogue system, Dialogue State Tracking (DST) keeps ...
research
∙
03/18/2022
CrossAligner Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding
Task-oriented personal assistants enable people to interact with a host ...
research
∙
05/08/2021
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning
Transfer learning has become the dominant paradigm for many natural lang...
research
∙
05/06/2021
XeroAlign: Zero-Shot Cross-lingual Transformer Alignment
The introduction of pretrained cross-lingual language models brought dec...
research
∙
01/13/2021
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation
Determining the plausibility of causal relations between clauses is a co...
research
∙
10/29/2020
Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management
Task-oriented dialogue systems typically rely on large amounts of high-q...
research
∙
09/17/2020
Compositional and Lexical Semantics in RoBERTa, BERT and DistilBERT: A Case Study on CoQA
Many NLP tasks have benefited from transferring knowledge from contextua...
research
∙
04/17/2020
Show Us the Way: Learning to Manage Dialog from Demonstrations
We present our submission to the End-to-End Multi-Domain Dialog Challeng...
research
∙
12/08/2016
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Word embeddings are widely used in Natural Language Processing, mainly d...
research
∙
08/02/2016
