Search Results for author: Clare R. Voss

Found 16 papers, 8 papers with code

Human-Robot Dialogue Annotation for Multi-Modal Common Ground

1 code implementation19 Nov 2024 Claire Bonial, Stephanie M. Lukin, Mitchell Abrams, Anthony Baker, Lucia Donatelli, Ashley Foots, Cory J. Hayes, Cassidy Henry, Taylor Hudson, Matthew Marge, Kimberly A. Pollard, Ron artstein, David Traum, Clare R. Voss

In this paper, we describe the development of symbolic representations annotated on human-robot dialogue data to make dimensions of meaning accessible to autonomous systems participating in collaborative, natural language dialogue, and to enable common ground with human partners.

Abstract Meaning Representation

Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play

no code implementations24 Oct 2024 Sha Li, Revanth Gangi Reddy, Khanh Duy Nguyen, Qingyun Wang, May Fung, Chi Han, Jiawei Han, Kartik Natarajan, Clare R. Voss, Heng Ji

Complex news events, such as natural disasters and socio-political conflicts, require swift responses from the government and society.

Humanitarian

Language Model Pre-Training with Sparse Latent Typing

1 code implementation23 Oct 2022 Liliang Ren, Zixuan Zhang, Han Wang, Clare R. Voss, ChengXiang Zhai, Heng Ji

Modern large-scale Pre-trained Language Models (PLMs) have achieved tremendous success on a wide range of downstream tasks.

Ranked #8 on Few-shot NER on Few-NERD (INTRA) (using extra training data)

Few-shot NER Language Modeling +3

Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes

no code implementations31 May 2019 Stephanie M. Lukin, Claire Bonial, Clare R. Voss

We describe the task of Visual Understanding and Narration, in which a robot (or agent) generates text for the images that it collects when navigating its environment, by answering open-ended questions, such as 'what happens, or might have happened, here?'

Zero-Shot Transfer Learning for Event Extraction

1 code implementation ACL 2018 Lifu Huang, Heng Ji, Kyunghyun Cho, Clare R. Voss

Most previous event extraction studies have relied heavily on features derived from annotated event mentions, thus cannot be applied to new event types without annotation effort.

Event Extraction Transfer Learning

Automated Phrase Mining from Massive Text Corpora

4 code implementations15 Feb 2017 Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han

As one of the fundamental tasks in text analysis, phrase mining aims at extracting quality phrases from a text corpus.

General Knowledge POS +1

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

3 code implementations27 Oct 2016 Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han

We propose a novel domain-independent framework, called CoType, that runs a data-driven text segmentation algorithm to extract entity mentions, and jointly embeds entity mentions, relation mentions, text features and type labels into two low-dimensional spaces (for entity and relation mentions respectively), where, in each space, objects whose types are close will also have similar representations.

Joint Entity and Relation Extraction Relation +1

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

3 code implementations17 Feb 2016 Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han

Current systems of fine-grained entity typing use distant supervision in conjunction with existing knowledge bases to assign categories (type labels) to entity mentions.

Entity Typing Semantic Similarity +2

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