Search Results for author: Jinho D. Choi

Found 66 papers, 18 papers with code

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

no code implementations EMNLP 2020 Changmao Li, Elaine Fisher, Rebecca Thomas, Steve Pittard, Vicki Hertzberg, Jinho D. Choi

Given this dataset, novel transformer-based classification models are developed for two tasks: the first task takes a resume and classifies it to a CRC level (T1), and the second task takes both a resume and a job description to apply and predicts if the application is suited to the job (T2).

FantasyCoref: Coreference Resolution on Fantasy Literature Through Omniscient Writer’s Point of View

no code implementations CRAC (ACL) 2021 Sooyoun Han, Sumin Seo, Minji Kang, Jongin Kim, Nayoung Choi, Min Song, Jinho D. Choi

This paper presents a new corpus and annotation guideline for a novel coreference resolution task on fictional texts, and analyzes its unique characteristics.

Coreference Resolution

Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity Recognition

no code implementations EMNLP (MRL) 2021 Jongin Kim, Nayoung Choi, Seunghyun Lim, Jungwhan Kim, Soojin Chung, Hyunsoo Woo, Min Song, Jinho D. Choi

This paper presents a English-Korean parallel dataset that collects 381K news articles where 1, 400 of them, comprising 10K sentences, are manually labeled for crosslingual named entity recognition (NER).

Named Entity Recognition NER

UMR-Writer: A Web Application for Annotating Uniform Meaning Representations

no code implementations EMNLP (ACL) 2021 Jin Zhao, Nianwen Xue, Jens Van Gysel, Jinho D. Choi

We present UMR-Writer, a web-based application for annotating Uniform Meaning Representations (UMR), a graph-based, cross-linguistically applicable semantic representation developed recently to support the development of interpretable natural language applications that require deep semantic analysis of texts.

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

1 code implementation1 Dec 2021 Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi

We target the task of cross-lingual Machine Reading Comprehension (MRC) in the direct zero-shot setting, by incorporating syntactic features from Universal Dependencies (UD), and the key features we use are the syntactic relations within each sentence.

Machine Reading Comprehension

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

no code implementations EMNLP (NLP4ConvAI) 2021 James D. Finch, Sarah E. Finch, Jinho D. Choi

Improving user experience of a dialogue system often requires intensive developer effort to read conversation logs, run statistical analyses, and intuit the relative importance of system shortcomings.

Chatbot

Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope

1 code implementation EMNLP (LAW, DMR) 2021 Gregor Williamson, Patrick Elliott, Yuxin Ji, Jinho D. Choi

We adopt a scope node from the literature and provide an explicit multidimensional semantics utilizing Cooper storage which allows us to derive the de re and de dicto scope readings as well as intermediate scope readings which prove difficult for accounts without a scope node.

Translation

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

1 code implementation20 Sep 2021 Jinho D. Choi, Gregor Williamson

This demonstration paper presents StreamSide, an open-source toolkit for annotating multiple kinds of meaning representations.

Document-level

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

1 code implementation EMNLP 2021 Han He, Jinho D. Choi

Multi-task learning with transformer encoders (MTL) has emerged as a powerful technique to improve performance on closely-related tasks for both accuracy and efficiency while a question still remains whether or not it would perform as well on tasks that are distinct in nature.

Multi-Task Learning NER +1

ELIT: Emory Language and Information Toolkit

1 code implementation8 Sep 2021 Han He, Liyan Xu, Jinho D. Choi

We introduce ELIT, the Emory Language and Information Toolkit, which is a comprehensive NLP framework providing transformer-based end-to-end models for core tasks with a special focus on memory efficiency while maintaining state-of-the-art accuracy and speed.

AMR Parsing Constituency Parsing +8

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

no code implementations ACL (CODI, CRAC) 2021 Liyan Xu, Jinho D. Choi

We present an effective system adapted from the end-to-end neural coreference resolution model, targeting on the task of anaphora resolution in dialogues.

Coreference Resolution Transfer Learning

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

1 code implementation EMNLP 2021 Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi

Recent multilingual pre-trained language models have achieved remarkable zero-shot performance, where the model is only finetuned on one source language and directly evaluated on target languages.

Cross-Lingual Transfer Named Entity Recognition +2

Levi Graph AMR Parser using Heterogeneous Attention

1 code implementation ACL (IWPT) 2021 Han He, Jinho D. Choi

Coupled with biaffine decoders, transformers have been effectively adapted to text-to-graph transduction and achieved state-of-the-art performance on AMR parsing.

AMR Parsing

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

no code implementations NAACL (SMM4H) 2021 Payam Karisani, Jinho D. Choi, Li Xiong

Then a classifier is trained on each view to label a set of unlabeled documents to be used as an initializer for a new classifier in the other view.

Word Embeddings

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

no code implementations5 Nov 2020 Changmao Li, Elaine Fisher, Rebecca Thomas, Steve Pittard, Vicki Hertzberg, Jinho D. Choi

This paper presents a comprehensive study on resume classification to reduce the time and labor needed to screen an overwhelming number of applications significantly, while improving the selection of suitable candidates.

Revealing the Myth of Higher-Order Inference in Coreference Resolution

1 code implementation EMNLP 2020 Liyan Xu, Jinho D. Choi

We find that given a high-performing encoder such as SpanBERT, the impact of HOI is negative to marginal, providing a new perspective of HOI to this task.

Coreference Resolution Representation Learning

Emora: An Inquisitive Social Chatbot Who Cares For You

no code implementations10 Sep 2020 Sarah E. Finch, James D. Finch, Ali Ahmadvand, Ingyu, Choi, Xiangjue Dong, Ruixiang Qi, Harshita Sahijwani, Sergey Volokhin, Zihan Wang, ZiHao Wang, Jinho D. Choi

Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such experience-focused interaction to the current field of conversational AI.

Chatbot Intent Classification

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

no code implementations SEMEVAL 2020 Xiangjue Dong, Jinho D. Choi

This paper presents six document classification models using the latest transformer encoders and a high-performing ensemble model for a task of offensive language identification in social media.

Document Classification Language Identification

Adaptation of Multilingual Transformer Encoder for Robust Enhanced Universal Dependency Parsing

no code implementations WS 2020 Han He, Jinho D. Choi

Our results show that models using the multilingual encoder outperform ones using the language specific encoders for most languages.

Dependency Parsing

Emora STDM: A Versatile Framework for Innovative Dialogue System Development

1 code implementation SIGDIAL (ACL) 2020 James D. Finch, Jinho D. Choi

This demo paper presents Emora STDM (State Transition Dialogue Manager), a dialogue system development framework that provides novel workflows for rapid prototyping of chat-based dialogue managers as well as collaborative development of complex interactions.

Dialogue Management

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

no code implementations SIGDIAL (ACL) 2020 Sarah E. Finch, Jinho D. Choi

As conversational AI-based dialogue management has increasingly become a trending topic, the need for a standardized and reliable evaluation procedure grows even more pressing.

Dialogue Management

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

no code implementations WS 2020 Tae Hwan Oh, Ji Yoon Han, Hyonsu Choe, Seokwon Park, Han He, Jinho D. Choi, Na-Rae Han, Jena D. Hwang, Hansaem Kim

In this paper, we first open on important issues regarding the Penn Korean Universal Treebank (PKT-UD) and address these issues by revising the entire corpus manually with the aim of producing cleaner UD annotations that are more faithful to Korean grammar.

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

no code implementations WS 2020 Xiangjue Dong, Changmao Li, Jinho D. Choi

We present a transformer-based sarcasm detection model that accounts for the context from the entire conversation thread for more robust predictions.

Sarcasm Detection

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

no code implementations WS 2020 Liyan Xu, Julien Hogan, Rachel E. Patzer, Jinho D. Choi

This paper presents a reinforcement learning approach to extract noise in long clinical documents for the task of readmission prediction after kidney transplant.

Document Classification General Classification +1

Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings

no code implementations5 Nov 2019 Xinyi Jiang, Zhengzhe Yang, Jinho D. Choi

We hypothesize that not all dimensions are equally important for downstream tasks so that our algorithm can detect unessential dimensions and discard them without hurting the performance.

Word Embeddings Word Sense Disambiguation

Design and Challenges of Cloze-Style Reading Comprehension Tasks on Multiparty Dialogue

no code implementations2 Nov 2019 Changmao Li, Tianhao Liu, Jinho D. Choi

According to our analysis, replacing the random data split with a chronological data split reduces test accuracy on previous single-variable passage completion task from 72\% to 34\%, that leaves much more room to improve.

Reading Comprehension

FriendsQA: Open-Domain Question Answering on TV Show Transcripts

no code implementations WS 2019 Zhengzhe Yang, Jinho D. Choi

This paper presents FriendsQA, a challenging question answering dataset that contains 1, 222 dialogues and 10, 610 open-domain questions, to tackle machine comprehension on everyday conversations.

Open-Domain Question Answering Reading Comprehension

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

1 code implementation14 Aug 2019 Han He, Jinho D. Choi

This paper presents new state-of-the-art models for three tasks, part-of-speech tagging, syntactic parsing, and semantic parsing, using the cutting-edge contextualized embedding framework known as BERT.

Part-Of-Speech Tagging Semantic Parsing

Meta-Semantic Representation for Early Detection of Alzheimer's Disease

no code implementations WS 2019 Jinho D. Choi, Mengmei Li, Felicia Goldstein, Ihab Hajjar

This paper presents a new task-oriented meaning representation called meta-semantics, that is designed to detect patients with early symptoms of Alzheimer{'}s disease by analyzing their language beyond a syntactic or semantic level.

Knowledge Graphs

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

no code implementations31 May 2019 Bonggun Shin, Julien Hogan, Andrew B. Adams, Raymond J. Lynch, Rachel E. Patzer, Jinho D. Choi

One of the modalities in EHRs, clinical notes, has not been fully explored for these tasks due to its unstructured and inexplicable nature.

Coordinate Structures in Universal Dependencies for Head-final Languages

no code implementations WS 2018 Hiroshi Kanayama, Na-Rae Han, Masayuki Asahara, Jena D. Hwang, Yusuke Miyao, Jinho D. Choi, Yuji Matsumoto

This paper discusses the representation of coordinate structures in the Universal Dependencies framework for two head-final languages, Japanese and Korean.

They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking

2 code implementations COLING 2018 Ethan Zhou, Jinho D. Choi

To the best of our knowledge, this is the first time that plural mentions are thoroughly analyzed for these two resolution tasks.

Coreference Resolution Entity Linking +3

Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog

no code implementations NAACL 2018 Kaixin Ma, Tomasz Jurczyk, Jinho D. Choi

This paper presents a new corpus and a robust deep learning architecture for a task in reading comprehension, passage completion, on multiparty dialog.

Question Answering Reading Comprehension

SemEval 2018 Task 4: Character Identification on Multiparty Dialogues

no code implementations SEMEVAL 2018 Jinho D. Choi, Henry Y. Chen

Character identification is a task of entity linking that finds the global entity of each personal mention in multiparty dialogue.

Entity Linking Machine Translation +1

Analysis of Wikipedia-based Corpora for Question Answering

no code implementations6 Jan 2018 Tomasz Jurczyk, Amit Deshmane, Jinho D. Choi

This paper gives comprehensive analyses of corpora based on Wikipedia for several tasks in question answering.

Question Answering

Improving Document Clustering by Removing Unnatural Language

no code implementations WS 2017 Myungha Jang, Jinho D. Choi, James Allan

We view this problem as an information extraction task and build a multiclass classification model identifying unnatural language components into four categories.

Document Layout Analysis Optical Character Recognition

Classification of Radiology Reports Using Neural Attention Models

no code implementations22 Aug 2017 Bonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi

The electronic health record (EHR) contains a large amount of multi-dimensional and unstructured clinical data of significant operational and research value.

Classification General Classification

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

1 code implementation14 Aug 2017 Sayyed M. Zahiri, Jinho D. Choi

While there have been significant advances in detecting emotions from speech and image recognition, emotion detection on text is still under-explored and remained as an active research field.

Document Classification General Classification

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

no code implementations7 Aug 2017 Ali Ahmadvand, Jinho D. Choi

In addition, using ISS-MULT could finely improve the MULT method for question answering tasks, and these improvements prove more significant in the answer triggering task.

Answer Selection Multi-Task Learning

Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts

no code implementations CONLL 2017 Henry Y. Chen, Ethan Zhou, Jinho D. Choi

This paper presents a novel approach to character identification, that is an entity linking task that maps mentions to characters in dialogues from TV show transcripts.

Coreference Resolution Entity Linking +2

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

no code implementations WS 2017 Tomasz Jurczyk, Jinho D. Choi

This paper challenges a cross-genre document retrieval task, where the queries are in formal writing and the target documents are in conversational writing.

Improving Document Clustering by Eliminating Unnatural Language

no code implementations16 Mar 2017 Myungha Jang, Jinho D. Choi, James Allan

We view this problem as an information extraction task and build a multiclass classification model identifying unnatural language components into four categories.

Lexicon Integrated CNN Models with Attention for Sentiment Analysis

no code implementations WS 2017 Bonggun Shin, Timothy Lee, Jinho D. Choi

With the advent of word embeddings, lexicons are no longer fully utilized for sentiment analysis although they still provide important features in the traditional setting.

Sentiment Analysis Word Embeddings

SelQA: A New Benchmark for Selection-based Question Answering

1 code implementation27 Jun 2016 Tomasz Jurczyk, Michael Zhai, Jinho D. Choi

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

Question Answering

Multi-Field Structural Decomposition for Question Answering

no code implementations4 Apr 2016 Tomasz Jurczyk, Jinho D. Choi

This paper presents a precursory yet novel approach to the question answering task using structural decomposition.

Question Answering

Targetable Named Entity Recognition in Social Media

no code implementations4 Aug 2014 Sandeep Ashwini, Jinho D. Choi

We present a novel approach for recognizing what we call targetable named entities; that is, named entities in a targeted set (e. g, movies, books, TV shows).

Named Entity Recognition NER

Preparing Korean Data for the Shared Task on Parsing Morphologically Rich Languages

no code implementations6 Sep 2013 Jinho D. Choi

This document gives a brief description of Korean data prepared for the SPMRL 2013 shared task.

Morphological Analysis

Empty Argument Insertion in the Hindi PropBank

no code implementations LREC 2012 Ashwini Vaidya, Jinho D. Choi, Martha Palmer, Bhuvana Narasimhan

This paper examines both linguistic behavior and practical implication of empty argument insertion in the Hindi PropBank.

Semantic Role Labeling

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