Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing (2021.naacl-demos)
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| Challenge: | PhoNLP is a multi-task learning model for joint Vietnamese part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing. |
| Approach: | They propose a multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing that fine-tunes the pre-trained Vietnamese language model PhoBERT for each task independently. |
| Outcome: | The proposed model outperforms a single-task learning approach that fine-tunes the pre-trained Vietnamese language model PhoBERT for each task independently. |
Machine-Assisted Script Curation (2021.naacl-demos)
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Manuel Ciosici, Joseph Cummings, Mitchell DeHaven, Alex Hedges, Yash Kankanampati, Dong-Ho Lee, Ralph Weischedel, Marjorie Freedman
| Challenge: | Scripts have been of interest for encoding procedural knowledge and understanding stories for over 40 years . narrative descriptions often omit common knowledge . |
| Approach: | They propose a machine-aided script creator that automates script creation with suggestions for event types, links to Wikidata, and sub-events that may have been forgotten. |
| Outcome: | The proposed system automates portions of the script creation process with suggestions for event types, links to Wikidata, and sub-events that may have been forgotten. |
NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering (2021.naacl-demos)
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| Challenge: | Using a node-based framework, knowledge base question answering systems can grasp structural mappings between questions and KB queries. |
| Approach: | They propose a node-based framework that better grasps the structural mapping between questions and KB queries by aligning the nodes in a query with their corresponding mentions in question. |
| Outcome: | The proposed framework outperforms the previous SoTA on CCKS CKBQA dataset. |
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation (2021.naacl-demos)
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| Challenge: | Recent advances in transformer-based language models and their applications to dialogue systems have succeeded to generate fluent and human-like responses. |
| Approach: | They propose to leverage conversational lines as controllable and informative content-planning elements to guide the generation model produce engaging and informative responses. |
| Outcome: | The proposed system generates engaging and informative responses using convlines as controllable and informative content-planning elements. |
FITAnnotator: A Flexible and Intelligent Text Annotation System (2021.naacl-demos)
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| Challenge: | In this paper, we introduce FITAnnotator, a generic web-based tool for efficient text annotation. |
| Approach: | They propose a generic web-based tool for efficient text annotation. |
| Outcome: | The proposed tool is based on a fully modular architecture and provides three kinds of interfaces to annotate instances, evaluate annotation quality and manage the annotation task for annotators, reviewers and managers. |
Robustness Gym: Unifying the NLP Evaluation Landscape (2021.naacl-demos)
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| Challenge: | Existing tools cater to specialized set of evaluations and provide no clear way to leverage or share findings from prior evaluations. |
| Approach: | They propose a toolkit that unifies 4 evaluation paradigms to provide a common platform for evaluation. |
| Outcome: | The proposed evaluation toolkit unifies 4 evaluation paradigms and is under active development. |
EventPlus: A Temporal Event Understanding Pipeline (2021.naacl-demos)
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Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, Nanyun Peng
| Challenge: | Event information is a type of common sense knowledge that helps people understand how stories evolve and provides predictive hints for future events. |
| Approach: | They propose a temporal event understanding pipeline that integrates state-of-the-art components. |
| Outcome: | The proposed pipeline can be easily adapted to other domains, including biomedical domains. |
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation (2021.naacl-demos)
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Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Ranran Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed ELsayed, Martha Palmer, Clare Voss, Cynthia Schneider, Boyan Onyshkevych
| Challenge: | a new framework to digest relevant biomedical knowledge is needed to combat COVID-19 . quantity of research results is a bottleneck, and false information promoted in publications . |
| Approach: | a team of researchers has developed a framework to extract multimedia knowledge elements from scientific literature to combat COVID-19. |
| Outcome: | a new framework extracts fine-grained multimedia knowledge elements from scientific literature . it provides detailed contextual sentences, subfigures, and knowledge subgraphs as evidence . the framework is based on a case study of drug repurposing . |
Multifaceted Domain-Specific Document Embeddings (2021.naacl-demos)
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| Challenge: | Current document embeddings require large training corpora but fail to learn high-quality representations when confronted with a small number of domain-specific documents and rare terms. |
| Approach: | They propose a faceted domain encoder that transforms each document into a single embedding vector . they use a Siamese neural network architecture to leverage knowledge graphs to enhance the embeddables . |
| Outcome: | The proposed model achieves the same embedding quality as state-of-the-art models while requiring only a tiny fraction of training data. |
Improving Evidence Retrieval for Automated Explainable Fact-Checking (2021.naacl-demos)
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| Challenge: | Automated fact-checking on a large scale is time consuming and intractable. |
| Approach: | They propose a three-stage automated fact-checking system using evidence retrieval and selection methods to improve evidence recall in a noisy environment. |
| Outcome: | The proposed system can verify open-domain claims using results from web search engines. |
Interactive Plot Manipulation using Natural Language (2021.naacl-demos)
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| Challenge: | a new interactive plotting agent is available for programming with natural language . the interactive aspect allows users to manipulate plots using natural language instructions. |
| Approach: | They propose an interactive natural language interface for plotting that maps language to plot updates. |
| Outcome: | The proposed system maps language to plot updates within an interactive programming environment. |
ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration (2021.naacl-demos)
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| Challenge: | Existing tools for document-level annotation lack document-based quality and flexibility. |
| Approach: | a new annotation tool is being developed for industry and research use cases . a configurable user interface and a RESTful API are included . authors propose to use ACTIVEANNO as default for document-level annotation . |
| Outcome: | ACTIVEANNO is an annotation tool for industry and research use cases. |
TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora (2021.naacl-demos)
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| Challenge: | Existing studies using distributional embeddings to study language use have focused on quantitative measurement of change, rather than inter-corpus analysis. |
| Approach: | They propose a system that allows comparative analysis of corpora using embeddings. |
| Outcome: | The proposed system can be used for categorical and comparative analysis of text corpora. |
Supporting Spanish Writers using Automated Feedback (2021.naacl-demos)
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Aoife Cahill, James Bruno, James Ramey, Gilmar Ayala Meneses, Ian Blood, Florencia Tolentino, Tamar Lavee, Slava Andreyev
| Challenge: | a tool that provides automated feedback to students studying Spanish provides useful results. |
| Approach: | They propose a tool that provides automated feedback to students studying Spanish writing . the tool is made freely available via a free Google Docs add-on . |
| Outcome: | The tool provides automated feedback to students studying Spanish writing . a small user study with 13 students in Mexico shows the tool is helpful . |
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems (2021.naacl-demos)
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Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tur, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang
| Challenge: | Traditional goal-oriented dialogue systems require annotations which are hard to obtain for every new domain, limiting scalability. |
| Approach: | They propose a data-driven approach to building goal-oriented dialogue systems . they use a seed dialogue simulator to generate annotated conversations instead of collecting annotations . |
| Outcome: | The proposed system improves turn-level action signature prediction accuracy by 50% . the system is scalable, extensible and data efficient . |
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System (2021.naacl-demos)
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Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
| Challenge: | We present a new information extraction system that can construct temporal event graphs from news documents. |
| Approach: | They propose a temporal event graph extraction system that can extract news documents . they extend the system from sentence-level event extraction to cross-document cross-media event extraction . |
| Outcome: | The proposed system can extract temporal event graphs from news documents in multiple languages and multiple data modalities. |
MUDES: Multilingual Detection of Offensive Spans (2021.naacl-demos)
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| Challenge: | Identifying offensive spans in texts is the goal of the SemEval-2021 Task 5: Toxic Spans Detection . previous work focused on post level annotations, but identifying offensive span is useful in many ways. |
| Approach: | They propose a Python-based system to detect offensive spans in texts with pre-trained models and a user-friendly web-based interface. |
| Outcome: | The proposed system is based on a Python-based framework and a user-friendly web-based interface. |