b'Jinho D. Choi'

research

∙ 09/14/2023

Exploring the Impact of Human Evaluator Group on Chat-Oriented Dialogue Evaluation

Human evaluation has been widely accepted as the standard for evaluating...

0 Sarah E. Finch, et al. ∙

research

∙ 09/14/2023

Aligning Speakers: Evaluating and Visualizing Text-based Diarization Using Efficient Multiple Sequence Alignment (Extended Version)

This paper presents a novel evaluation approach to text-based speaker di...

0 Chen gong, et al. ∙

research

∙ 09/12/2023

Leveraging Large Language Models for Automated Dialogue Analysis

Developing high-performing dialogue systems benefits from the automatic ...

0 Sarah E. Finch, et al. ∙

research

∙ 09/12/2023

Widely Interpretable Semantic Representation: Frameless Meaning Representation for Broader Applicability

This paper presents a novel semantic representation, WISeR, that overcom...

0 Lydia Feng, et al. ∙

research

∙ 05/26/2023

Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach

We present a new task setting for attribute mining on e-commerce product...

0 Liyan Xu, et al. ∙

research

∙ 02/05/2023

Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing

Sequence-to-Sequence (S2S) models have achieved remarkable success on va...

0 Han He, et al. ∙

research

∙ 12/18/2022

Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems

There has been great recent advancement in human-computer chat. However,...

0 Sarah E. Finch, et al. ∙

research

∙ 05/21/2022

Online Coreference Resolution for Dialogue Processing: Improving Mention-Linking on Real-Time Conversations

This paper suggests a direction of coreference resolution for online dec...

0 Liyan Xu, et al. ∙

research

∙ 05/04/2022

Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction

We target on the document-level relation extraction in an end-to-end set...

0 Liyan Xu, et al. ∙

research

∙ 12/01/2021

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph

We target the task of cross-lingual Machine Reading Comprehension (MRC) ...

1 Liyan Xu, et al. ∙

research

∙ 10/31/2021

What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts

Improving user experience of a dialogue system often requires intensive ...

0 James D. Finch, et al. ∙

research

∙ 10/31/2021

An Approach to Inference-Driven Dialogue Management within a Social Chatbot

We present a chatbot implementing a novel dialogue management approach b...

0 Sarah E. Finch, et al. ∙

research

∙ 09/20/2021

Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope

Abstract Meaning Representation (AMR) is a graphical meaning representat...

0 Gregor Williamson, et al. ∙

research

∙ 09/20/2021

StreamSide: A Fully-Customizable Open-Source Toolkit for Efficient Annotation of Meaning Representations

This demonstration paper presents StreamSide, an open-source toolkit for...

0 Jinho D. Choi, et al. ∙

research

∙ 09/14/2021

The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders

Multi-task learning with transformer encoders (MTL) has emerged as a pow...

19 Han He, et al. ∙

research

∙ 09/08/2021

ELIT: Emory Language and Information Toolkit

We introduce ELIT, the Emory Language and Information Toolkit, which is ...

0 Han He, et al. ∙

research

∙ 09/01/2021

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation

Recent multilingual pre-trained language models have achieved remarkable...

3 Liyan Xu, et al. ∙

research

∙ 09/01/2021

Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues

We present an effective system adapted from the end-to-end neural corefe...

0 Liyan Xu, et al. ∙

research

∙ 07/09/2021

Levi Graph AMR Parser using Heterogeneous Attention

Coupled with biaffine decoders, transformers have been effectively adapt...

0 Han He, et al. ∙

research

∙ 05/24/2021

View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data

We present an algorithm based on multi-layer transformers for identifyin...

0 Payam Karisani, et al. ∙

research

∙ 04/14/2021

Evaluation of Unsupervised Entity and Event Salience Estimation

Salience Estimation aims to predict term importance in documents. Due to...

0 Jiaying Lu, et al. ∙

research

∙ 11/05/2020

Competence-Level Prediction and Resume Job Description Matching Using Context-Aware Transformer Models

This paper presents a comprehensive study on resume classification to re...

0 Changmao Li, et al. ∙

research

∙ 09/25/2020

Revealing the Myth of Higher-Order Inference in Coreference Resolution

This paper analyzes the impact of higher-order inference (HOI) on the ta...

0 Liyan Xu, et al. ∙

research

∙ 09/10/2020

Emora: An Inquisitive Social Chatbot Who Cares For You

Inspired by studies on the overwhelming presence of experience-sharing i...

3 Sarah E. Finch, et al. ∙

research

∙ 07/21/2020

XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders

This paper presents six document classification models using the latest ...

0 Xiangjue Dong, et al. ∙

research

∙ 06/11/2020

Emora STDM: A Versatile Framework for Innovative Dialogue System Development

This demo paper presents Emora STDM (State Transition Dialogue Manager),...

0 James D. Finch, et al. ∙

research

∙ 06/10/2020

Towards Unified Dialogue System Evaluation: A Comprehensive Analysis of Current Evaluation Protocols

As conversational AI-based dialogue management has increasingly become a...

0 Sarah E. Finch, et al. ∙

research

∙ 05/26/2020

Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean

In this paper, we first open on important issues regarding the Penn Kore...

0 Tae Hwan Oh, et al. ∙

research

∙ 05/22/2020

Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media

We present a transformer-based sarcasm detection model that accounts for...

0 Xiangjue Dong, et al. ∙

research

∙ 05/04/2020

Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning

This paper presents a reinforcement learning approach to extract noise i...

0 Liyan Xu, et al. ∙

research

∙ 04/07/2020

Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering

We introduce a novel approach to transformers that learns hierarchical r...

0 Changmao Li, et al. ∙

research

∙ 11/21/2019

Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings

Previous works related to automatic personality recognition focus on usi...

0 Hang Jiang, et al. ∙

research

∙ 11/05/2019

Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings

We present a novel online algorithm that learns the essence of each dime...

0 Xinyi Jiang, et al. ∙

research

∙ 08/14/2019

Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT

This paper presents new state-of-the-art models for three tasks, part-of...

0 Han He, et al. ∙

research

∙ 05/31/2019

The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning

Recent advances in deep learning have facilitated the demand of neural m...

0 Bonggun Shin, et al. ∙

research

∙ 05/31/2019

Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission

Electronic Health Records (EHRs) have been heavily used to predict vario...

0 Bonggun Shin, et al. ∙

research

∙ 08/22/2017

Classification of Radiology Reports Using Neural Attention Models

The electronic health record (EHR) contains a large amount of multi-dime...

0 Bonggun Shin, et al. ∙

research

∙ 08/14/2017

Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networks

While there have been significant advances in detecting emotions from sp...

0 Sayyed M. Zahiri, et al. ∙

research

∙ 08/07/2017

ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering

Transferring knowledge from a source domain to another domain is useful,...

0 Ali Ahmadvand, et al. ∙

research

∙ 07/14/2017

Cross-genre Document Retrieval: Matching between Conversational and Formal Writings

This paper challenges a cross-genre document retrieval task, where the q...

0 Tomasz Jurczyk, et al. ∙

research

∙ 03/16/2017

Improving Document Clustering by Eliminating Unnatural Language

Technical documents contain a fair amount of unnatural language, such as...

0 Myungha Jang, et al. ∙

research

∙ 10/20/2016

Lexicon Integrated CNN Models with Attention for Sentiment Analysis

With the advent of word embeddings, lexicons are no longer fully utilize...

0 Bonggun Shin, et al. ∙

research

∙ 06/27/2016

SelQA: A New Benchmark for Selection-based Question Answering

This paper presents a new selection-based question answering dataset, Se...

0 Tomasz Jurczyk, et al. ∙

research

∙ 04/04/2016

Multi-Field Structural Decomposition for Question Answering

This paper presents a precursory yet novel approach to the question answ...

0 Tomasz Jurczyk, et al. ∙

Jinho D. Choi

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