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- posterJune 2023
Classifying Course Discussion Board Questions using LLMs
ITiCSE 2023: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2Page 658https://doi.org/10.1145/3587103.3594202Large language models (LLMs) can be used to answer student questions on course discussion boards, but there is a risk of LLMs answering questions they are unable to address. We propose and evaluate an LLM-based system that classifies student questions ...
- ArticleMay 2023
QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model
Advances in Knowledge Discovery and Data MiningPages 174–185https://doi.org/10.1007/978-3-031-33383-5_14AbstractEntity matching (EM) is a fundamental task in data integration, which involves identifying records that refer to the same real-world entity. Unsupervised EM is often preferred in real-world applications, as labeling data is often a labor-intensive ...
- research-articleApril 2023
Query-Driven Knowledge Graph Construction using Question Answering and Multimodal Fusion
WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023Pages 1119–1126https://doi.org/10.1145/3543873.3587567Over recent years, large knowledge bases have been constructed to store massive knowledge graphs. However, these knowledge graphs are highly incomplete. To solve this problem, we propose a web-based question answering system with multimodal fusion of ...
- posterApril 2023
TML: A Temporal-aware Multitask Learning Framework for Time-sensitive Question Answering
WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023Pages 200–203https://doi.org/10.1145/3543873.3587347Many facts change over time, Time-sensitive Question Answering(TSQA) answers questions about time evolution facts to test the model’s ability in the dimension of the time. The existing methods obtain the representations of questions and documents and ...
- demonstrationApril 2023
Templet: A Collaborative System for Knowledge Graph Question Answering over Wikidata
WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023Pages 152–155https://doi.org/10.1145/3543873.3587335We present Templet: an online question answering (QA) system for Wikidata. Templet is based on the collaboratively-edited repository QAWiki, which collects questions in multiple natural languages along with their corresponding structured queries. ...
MSQ-BioBERT: Ambiguity Resolution to Enhance BioBERT Medical Question-Answering
WWW '23: Proceedings of the ACM Web Conference 2023Pages 4020–4028https://doi.org/10.1145/3543507.3583878Question answering (QA) is a task in the field of natural language processing (NLP) and information retrieval, which has pivotal applications in areas such as online reading comprehension and web search engines. Currently, Bidirectional Encoder ...
- research-articleJune 2023
A Survey on Conversational Search and Applications in Biomedicine
ACMSE '23: Proceedings of the 2023 ACM Southeast ConferencePages 78–88https://doi.org/10.1145/3564746.3587001This paper aims to provide a radical rundown on Conversational Search (ConvSearch), an approach to enhance the information retrieval (IR) method where users engage in a dialogue for the information-seeking tasks. In this survey, we predominantly focused ...
- short-paperFebruary 2023
AgAsk: A Conversational Search Agent for Answering Agricultural Questions
WSDM '23: Proceedings of the Sixteenth ACM International Conference on Web Search and Data MiningPages 1140–1143https://doi.org/10.1145/3539597.3573034While large amounts of potentially useful agricultural resources (journal articles, manuals, reports) are available, their value cannot be realised if they cannot be easily searched and presented to the agriculture users in a digestible form.AgAsk is a ...
- short-paperFebruary 2023
CoQEx: Entity Counts Explained
WSDM '23: Proceedings of the Sixteenth ACM International Conference on Web Search and Data MiningPages 1168–1171https://doi.org/10.1145/3539597.3573021For open-domain question answering, queries on entity counts, such ashow many languages are spoken in Indonesia, are challenging. Such queries can be answered through succinct contexts with counts:estimated 700 languages, and instances:Javanese and ...
- short-paperFebruary 2023
SOCluster - Towards Answering Unanswered Questions on Stack Overflow via Answered Questions
ISEC '23: Proceedings of the 16th Innovations in Software Engineering ConferenceArticle No.: 20, Pages 1–5https://doi.org/10.1145/3578527.3578544Stack Overflow (SO) platform has a huge dataset of questions and answers driven by interactions between users. But the count of unanswered questions is continuously rising, which is observed in various similar community Question & Answering platforms (...
- research-articleJanuary 2023
Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question Answering
CODS-COMAD '23: Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)Pages 47–54https://doi.org/10.1145/3570991.3571015Transformer-based models have dramatically improved performance of various natural language processing tasks like question answering, fact verification, topic-driven summarization and natural language inferencing. However, these models can’t process ...
- research-articleJanuary 2023
Span prompt dense passage retrieval for Chinese open domain question answering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 45, Issue 5Pages 7285–7295https://doi.org/10.3233/JIFS-231328Dense passage retrieval is a popular method in information retrieval recently, especially in open domain question answering. It aims to retrieve related articles from massive passages to answer the question. Retriever can increase retrieval speed with ...
- research-articleMarch 2023
Fusing Attribute Type Features for Attribute Value Extraction from Product via Question Answering
MLNLP '22: Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language ProcessingPages 179–184https://doi.org/10.1145/3578741.3578778Extracting attribute values from product titles is a crucial e-commerce task. Previous attribute extraction method was insufficient because the exist dataset lacked attribute type information. To overcome these obstacles and promote product attribute ...
- research-articleNovember 2022
Understanding Questions that Arise When Working with Business Documents
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 6, Issue CSCW2Article No.: 341, Pages 1–24https://doi.org/10.1145/3555761While digital assistants are increasingly used to help with various productivity tasks, less attention has been paid to employing them in the domain of business documents. To build an agent that can handle users' information needs in this domain, we ...
- short-paperOctober 2022
WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementPages 4707–4711https://doi.org/10.1145/3511808.3557678Open-Domain Question Answering (ODQA) systems generate answers from relevant text returned by search engines, e.g., lexical features-based such as BM25, or embeddings-based such as dense passage retrieval (DPR). Few datasets are available for this task: ...
- research-articleOctober 2022
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementPages 925–934https://doi.org/10.1145/3511808.3557267This paper addresses the task of conversational question answering (ConvQA) over knowledge graphs (KGs). The majority of existing ConvQA methods rely on full supervision signals with a strict assumption of the availability of gold logical forms of ...
- research-articleOctober 2022
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementPages 1996–2006https://doi.org/10.1145/3511808.3557258Visual question answering is an important task in both natural language and vision understanding. However, in most of the public visual question answering datasets such as VQA, CLEVR, the questions are human generated that specific to the given image, ...
- short-paperOctober 2022
CAVE: Correcting Attribute Values in E-commerce Profiles
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementPages 4965–4969https://doi.org/10.1145/3511808.3557161Attribute value extraction from product profiles is essential for many applications such as product retrieval, comparison, and recommendation. While existing techniques focus mainly on the extraction task, none of them deals with the problem of ...
- short-paperJanuary 2023
Answering Software Deployment Questions via Neural Machine Reading at Scale
ASE '22: Proceedings of the 37th IEEE/ACM International Conference on Automated Software EngineeringArticle No.: 151, Pages 1–4https://doi.org/10.1145/3551349.3559525As software systems continue to grow in complexity and scale, deploying and delivering them becomes increasingly difficult. In this work, we develop DeployQA, a novel QA bot that automatically answers software deployment questions over user manuals and ...
- research-articleOctober 2022
Towards Complex Document Understanding By Discrete Reasoning
MM '22: Proceedings of the 30th ACM International Conference on MultimediaPages 4857–4866https://doi.org/10.1145/3503161.3548422Document Visual Question Answering (VQA) aims to answer questions over visually-rich documents. In this work, we introduce a new Document VQA dataset, named TAT-DQA, which consists of 3,067 document pages comprising semi-structured table(s) and ...