Search Results for author: Carolyn Rose

Found 22 papers, 8 papers with code

QA4IE: A Quality Assurance Tool for Information Extraction

1 code implementation LREC 2022 Rafael Jimenez Silva, Kaushik Gedela, Alex Marr, Bart Desmet, Carolyn Rose, Chunxiao Zhou

In this paper we contribute QA4IE, a comprehensive QA tool for information extraction, which can (1) detect potential problems in text annotations in a timely manner, (2) accurately assess the quality of annotations, (3) visually display and summarize annotation discrepancies among annotation team members, (4) provide a comprehensive statistics report, and (5) support viewing of annotated documents interactively.

PerKGQA: Question Answering over Personalized Knowledge Graphs

no code implementations Findings (NAACL) 2022 Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn Rose

The above concerns motivate our question answer- ing setting over personalized knowledge graphs (PERKGQA) where each user has restricted access to their KG.

Knowledge Graphs Question Answering

Agent-Based Dynamic Collaboration Support in a Smart Office Space

no code implementations SIGDIAL (ACL) 2020 Yansen Wang, R. Charles Murray, Haogang Bao, Carolyn Rose

For the past 15 years, in computer-supported collaborative learning applications, conversational agents have been used to structure group interactions in online chat-based environments.

Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction

no code implementations EMNLP 2020 Yansen Wang, Zhen Fan, Carolyn Rose

Open-domain Keyphrase extraction (KPE) on the Web is a fundamental yet complex NLP task with a wide range of practical applications within the field of Information Retrieval.

Information Retrieval Keyphrase Extraction +1

Multi-Scale Contrastive Co-Training for Event Temporal Relation Extraction

no code implementations1 Sep 2022 Hao-Ren Yao, Luke Breitfeller, Aakanksha Naik, Chunxiao Zhou, Carolyn Rose

Our model uses a BERT-based language model to encode local context and a Graph Neural Network (GNN) to represent global document-level syntactic and temporal characteristics.

Contrastive Learning Language Modelling +2

Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks

1 code implementation2 Nov 2021 Aakanksha Naik, Jill Lehman, Carolyn Rose

We reflect on the question: have transfer learning methods sufficiently addressed the poor performance of benchmark-trained models on the long tail?

Natural Language Understanding Transfer Learning

STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models

no code implementations15 May 2021 Luke Breitfeller, Aakanksha Naik, Carolyn Rose

We demonstrate the utility of extracted cues by integrating them with an event ordering model using a joint BiLSTM and ILP constraint architecture.

Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance

no code implementations NAACL 2021 Sopan Khosla, James Fiacco, Carolyn Rose

Recent work on entity coreference resolution (CR) follows current trends in Deep Learning applied to embeddings and relatively simple task-related features.

coreference-resolution Coreference Resolution

What Sounds ``Right'' to Me? Experiential Factors in the Perception of Political Ideology

no code implementations EACL 2021 Qinlan Shen, Carolyn Rose

In this paper, we challenge the assumption that political ideology is inherently built into text by presenting an investigation into the impact of experiential factors on annotator perceptions of political ideology.

MedFilter: Improving Extraction of Task-relevant Utterances from Doctor-Patient Conversations through Integration of Discourse Structure and Ontological Knowledge

1 code implementation EMNLP 2020 Sopan Khosla, Shikhar Vashishth, Jill Fain Lehman, Carolyn Rose

In this paper, we propose the novel modeling approach MedFilter, which addresses these insights in order to increase performance at identifying and categorizing task-relevant utterances, and in so doing, positively impacts performance at a downstream information extraction task.

Adapting Event Extractors to Medical Data: Bridging the Covariate Shift

no code implementations EACL 2021 Aakanksha Naik, Jill Lehman, Carolyn Rose

Our best-performing models reach F1 scores of 70. 0 and 72. 9 on notes and conversations respectively, using no labeled data from target domains.

Domain Adaptation Event Extraction +1

Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale Datasets

1 code implementation1 May 2020 Shikhar Vashishth, Denis Newman-Griffis, Rishabh Joshi, Ritam Dutt, Carolyn Rose

To address the dearth of annotated training data for medical entity linking, we present WikiMed and PubMedDS, two large-scale medical entity linking datasets, and demonstrate that pre-training MedType on these datasets further improves entity linking performance.

Entity Disambiguation Entity Linking +2

TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events

no code implementations WS 2019 Aakanksha Naik, Luke Breitfeller, Carolyn Rose

Prior work on temporal relation classification has focused extensively on event pairs in the same or adjacent sentences (local), paying scant attention to discourse-level (global) pairs.

Relation Classification Temporal Relation Classification

Using Functional Schemas to Understand Social Media Narratives

1 code implementation WS 2019 Xinru Yan, Aakanksha Naik, Yohan Jo, Carolyn Rose

We propose a novel take on understanding narratives in social media, focusing on learning {''}functional story schemas{''}, which consist of sets of stereotypical functional structures.

General Classification text-classification +1

The Discourse of Online Content Moderation: Investigating Polarized User Responses to Changes in Reddit's Quarantine Policy

1 code implementation WS 2019 Qinlan Shen, Carolyn Rose

Recent concerns over abusive behavior on their platforms have pressured social media companies to strengthen their content moderation policies.

Abusive Language

Exploring Numeracy in Word Embeddings

no code implementations ACL 2019 Aakanksha Naik, Ravich, Abhilasha er, Carolyn Rose, Eduard Hovy

In this work, we show that existing embedding models are inadequate at constructing representations that capture salient aspects of mathematical meaning for numbers, which is important for language understanding.

Word Embeddings

Stress Test Evaluation for Natural Language Inference

1 code implementation COLING 2018 Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh, Carolyn Rose, Graham Neubig

Natural language inference (NLI) is the task of determining if a natural language hypothesis can be inferred from a given premise in a justifiable manner.

Natural Language Inference Natural Language Understanding

Extracting Personal Medical Events for User Timeline Construction using Minimal Supervision

no code implementations WS 2017 Aakanksha Naik, Chris Bogart, Carolyn Rose

In this paper, we describe a system for automatic construction of user disease progression timelines from their posts in online support groups using minimal supervision.

Event Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.