Search Results for author: Mihail Eric

Found 16 papers, 8 papers with code

Multi-Sentence Knowledge Selection in Open-Domain Dialogue

1 code implementation INLG (ACL) 2021 Mihail Eric, Nicole Chartier, Behnam Hedayatnia, Karthik Gopalakrishnan, Pankaj Rajan, Yang Liu, Dilek Hakkani-Tur

Incorporating external knowledge sources effectively in conversations is a longstanding problem in open-domain dialogue research.


Example-Driven Intent Prediction with Observers

1 code implementation NAACL 2021 Shikib Mehri, Mihail Eric

Observers are tokens that are not attended to, and are an alternative to the [CLS] token as a semantic representation of utterances.

Attribute intent-classification +3

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

1 code implementation28 Sep 2020 Shikib Mehri, Mihail Eric, Dilek Hakkani-Tur

A long-standing goal of task-oriented dialogue research is the ability to flexibly adapt dialogue models to new domains.

Ranked #5 on Multi-domain Dialogue State Tracking on MULTIWOZ 2.1 (using extra training data)

Domain Adaptation Multi-domain Dialogue State Tracking +1

Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems

no code implementations26 May 2020 Behnam Hedayatnia, Karthik Gopalakrishnan, Seokhwan Kim, Yang Liu, Mihail Eric, Dilek Hakkani-Tur

In this paper, we propose using a dialogue policy to plan the content and style of target responses in the form of an action plan, which includes knowledge sentences related to the dialogue context, targeted dialogue acts, topic information, etc.

Response Generation Sentence

Just Ask:An Interactive Learning Framework for Vision and Language Navigation

no code implementations2 Dec 2019 Ta-Chung Chi, Mihail Eric, Seokhwan Kim, Minmin Shen, Dilek Hakkani-Tur

We demonstrate the proposed strategy is substantially more realistic and data-efficient compared to previously proposed pre-exploration techniques.

Continual Learning Data Augmentation +2

The Pragmatics of Indirect Commands in Collaborative Discourse

no code implementations WS 2017 Matthew Lamm, Mihail Eric

We focus on a less understood family of utterances for eliciting agent action, locatives like \emph{The chair is in the other room}, and demonstrate how these utterances indirectly command in specific game state contexts.

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings

2 code implementations ACL 2017 He He, Anusha Balakrishnan, Mihail Eric, Percy Liang

To model both structured knowledge and unstructured language, we propose a neural model with dynamic knowledge graph embeddings that evolve as the dialogue progresses.

Knowledge Graph Embeddings

SceneSeer: 3D Scene Design with Natural Language

no code implementations28 Feb 2017 Angel X. Chang, Mihail Eric, Manolis Savva, Christopher D. Manning

We present SceneSeer: an interactive text to 3D scene generation system that allows a user to design 3D scenes using natural language.

Scene Generation Text to 3D

A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue

no code implementations EACL 2017 Mihail Eric, Christopher D. Manning

Task-oriented dialogue focuses on conversational agents that participate in user-initiated dialogues on domain-specific topics.

Response Generation

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