Search Results for author: Ramesh Manuvinakurike

Found 27 papers, 0 papers with code

The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

no code implementations COLING (CODI, CRAC) 2022 Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, Lori Levin, Vincent Ng, Massimo Poesio, Michael Strube, Carolyn Rosé

The CODI-CRAC 2022 Shared Task on Anaphora Resolution in Dialogues is the second edition of an initiative focused on detecting different types of anaphoric relations in conversations of different kinds.

CueBot: Cue-Controlled Response Generation for Assistive Interaction Usages

no code implementations SLPAT (ACL) 2022 Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Max Pinaroc, Sai Prasad, Saurav Sahay, Lama Nachman

Conversational assistants are ubiquitous among the general population, however, these systems have not had an impact on people with disabilities, or speech and language disorders, for whom basic day-to-day communication and social interaction is a huge struggle.

Language Modelling Response Generation

Nontrivial Lexical Convergence in a Geography-Themed Game

no code implementations SIGDIAL (ACL) 2020 Amanda Bergqvist, Ramesh Manuvinakurike, Deepthi Karkada, Maike Paetzel

The present study aims to examine the prevalent notion that people entrain to the vocabulary of a dialogue system.

Controllable Response Generation for Assistive Use-cases

no code implementations4 Dec 2021 Shachi H Kumar, Hsuan Su, Ramesh Manuvinakurike, Saurav Sahay, Lama Nachman

We build models that can suggest relevant cues in the dialog response context which is used to control response generation and can speed up communication.

Language Modelling Response Generation

RDG-Map: A Multimodal Corpus of Pedagogical Human-Agent Spoken Interactions.

no code implementations LREC 2020 Maike Paetzel, Deepthi Karkada, Ramesh Manuvinakurike

This paper presents a multimodal corpus of 209 spoken game dialogues between a human and a remote-controlled artificial agent.

A System for Automated Image Editing from Natural Language Commands

no code implementations3 Dec 2018 Jacqueline Brixey, Ramesh Manuvinakurike, Nham Le, Tuan Lai, Walter Chang, Trung Bui

This work presents the task of modifying images in an image editing program using natural language written commands.

Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario

no code implementations COLING 2018 Deepthi Karkada, Ramesh Manuvinakurike, Kallirroi Georgila

We introduce a dataset containing human-authored descriptions of target locations in an "end-of-trip in a taxi ride" scenario.

Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task

no code implementations WS 2018 Ramesh Manuvinakurike, Trung Bui, Walter Chang, Kallirroi Georgila

We present {``}conversational image editing{''}, a novel real-world application domain combining dialogue, visual information, and the use of computer vision.

General Classification

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