Search Results for author: Alborz Geramifard

Found 16 papers, 6 papers with code

DialogStitch: Synthetic Deeper and Multi-Context Task-Oriented Dialogs

1 code implementation SIGDIAL (ACL) 2021 Satwik Kottur, Chinnadhurai Sankar, Zhou Yu, Alborz Geramifard

Real-world conversational agents must effectively handle long conversations that span multiple contexts.

Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings

no code implementations 3rd Conversational AI Workshop at 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 2019 Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh, Bing Liu

Learning task-oriented dialog policies via reinforcement learning typically requires large amounts of interaction with users, which in practice renders such methods unusable for real-world applications.

reinforcement-learning

Database Search Results Disambiguation for Task-Oriented Dialog Systems

no code implementations NAACL 2022 Kun Qian, Ahmad Beirami, Satwik Kottur, Shahin Shayandeh, Paul Crook, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar

We find that training on our augmented dialog data improves the model's ability to deal with ambiguous scenarios, without sacrificing performance on unmodified turns.

Multi-Task Learning

DAIR: Data Augmented Invariant Regularization

1 code implementation21 Oct 2021 Tianjian Huang, Shaunak Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami

Synthetic data augmentation followed by empirical risk minimization (DA-ERM) is a simple and widely used solution to remedy this problem.

Data Augmentation Question Answering +1

Annotation Inconsistency and Entity Bias in MultiWOZ

no code implementations SIGDIAL (ACL) 2021 Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar

In this work, we identify an overlooked issue with dialog state annotation inconsistencies in the dataset, where a slot type is tagged inconsistently across similar dialogs leading to confusion for DST modeling.

Text Generation

SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations

1 code implementation EMNLP 2021 Satwik Kottur, Seungwhan Moon, Alborz Geramifard, Babak Damavandi

Next generation task-oriented dialog systems need to understand conversational contexts with their perceived surroundings, to effectively help users in the real-world multimodal environment.

Language Modelling

DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue

1 code implementation ACL 2021 Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur

A video-grounded dialogue system is required to understand both dialogue, which contains semantic dependencies from turn to turn, and video, which contains visual cues of spatial and temporal scene variations.

Object Tracking Visual Reasoning

Situated and Interactive Multimodal Conversations

2 code implementations COLING 2020 Seungwhan Moon, Satwik Kottur, Paul A. Crook, Ankita De, Shivani Poddar, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard

Next generation virtual assistants are envisioned to handle multimodal inputs (e. g., vision, memories of previous interactions, in addition to the user's utterances), and perform multimodal actions (e. g., displaying a route in addition to generating the system's utterance).

Response Generation

SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform

no code implementations7 Nov 2019 Paul A. Crook, Shivani Poddar, Ankita De, Semir Shafi, David Whitney, Alborz Geramifard, Rajen Subba

To this end, we introduce SIMMC, an extension to ParlAI for multi-modal conversational data collection and system evaluation.

Unity

Batch-iFDD for Representation Expansion in Large MDPs

no code implementations26 Sep 2013 Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan How

Matching pursuit (MP) methods are a promising class of feature construction algorithms for value function approximation.

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