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A survey on question answering technology from an information retrieval perspective

Oleksandr Kolomiyets, Marie-Francine Moens
2011 Information Sciences  
We discuss different levels of processing yielding bag-of-words-based and more complex representations integrating part-of-speech tags, classification of the expected answer type, semantic roles, discourse  ...  The survey suggests a general question answering architecture that steadily increases the complexity of the representation level of questions and information objects.  ...  Recently, we witness the development of methods for cross-media alignment of content (e.g., across text and images), inspired by techniques of cross-lingual alignment [109] .  ... 
doi:10.1016/j.ins.2011.07.047 fatcat:se6dcorj2jbidath35go5wi5yy

AttendAffectNet–Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention

Ha Thi Phuong Thao, B T Balamurali, Gemma Roig, Dorien Herremans
2021 Sensors  
Current studies on this topic focus on video representation learning and fusion techniques to combine the extracted features for predicting affect.  ...  We extensively trained and validated our proposed AAN on both the MediaEval 2016 dataset for the Emotional Impact of Movies Task and the extended COGNIMUSE dataset.  ...  A neural network for factoid question answering over paragraphs.  ... 
doi:10.3390/s21248356 pmid:34960450 pmcid:PMC8704548 fatcat:dhqibcpfozgm3as4rzp2n4qa4u

Survey of Scientific Document Summarization Techniques

Sheena Kurian K, Sheena Mathew
2020 Computer Science  
Commonly used evaluation techniques and datasets in this field are also discussed. Rouge and Pyramid scores of the different methods are tabulated for easy comparison of the results.  ...  The different methods commonly used in automatic text summarization are discussed in this paper with their pros and cons.  ...  Extrinsic evaluation measures the impact of a summary on task-based performance like document categorization, information retrieval, question answering, etc.  ... 
doi:10.7494/csci.2020.21.2.3356 fatcat:mbklxkl5dfaq7ax452p3bptluq

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam, Jakaria Rabbi, Mehedi Masud, Md. Kamrul Hasan, Md. Abdul Awal, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, Md. Akil Raihan Iftee
2022 IEEE Access  
There is an apparent scarcity of resources that contain a comprehensive review of the recent BNLP tools and methods.  ...  To bridge the gap between limited support and increasing demand, researchers conducted many experiments and developed valuable tools and techniques to create and process Bangla language materials.  ...  For classifying questions and extracting answers, the authors used a variety of techniques. The proposed question-answering system, on the other hand, can only respond to factoids about SUST.  ... 
doi:10.1109/access.2022.3165563 fatcat:rmersduz6vbyjjczvobrebskmi

Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods [article]

Ovishake Sen, Mohtasim Fuad, MD. Nazrul Islam, Jakaria Rabbi, MD. Kamrul Hasan, Mohammed Baz, Mehedi Masud, Md. Abdul Awal, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, MD. Akil Raihan Iftee
2021 arXiv   pre-print
There is an apparent scarcity of resources that contain a comprehensive study of the recent BNLP tools and methods.  ...  , Parts of Speech Tagging, Question Answering System, Sentiment Analysis, Spam and Fake Detection, Text Summarization, Word Sense Disambiguation, and Speech Processing and Recognition.  ...  Acknowledgment: The authors would like to thank for the support from Taif University Researchers Supporting Project number (TURSP-2020/239), Taif University, Taif, Saudi Arabia.  ... 
arXiv:2105.14875v2 fatcat:kvqmgxpthvh2fj7jza64n6kaiq

Interactive Search on the Web: The Story So Far

Sareh Aghaei, Kevin Angele, Elwin Huaman, Geni Bushati, Mathias Schiestl, Anna Fensel
2022 Information  
In contrast, semantic search engines try to find meaningful and accurate results on the meaning and relations of things.  ...  This paper categorizes the search services from the early days of the web to the present into keyword search engines, semantic search engines, question answering systems, dialogue systems and chatbots.  ...  Another possible direction for future work is to focus on a relatively small time span (e.g., the latest ten years) and deepen the discussions and analysis of the literature.  ... 
doi:10.3390/info13070324 fatcat:3ynum6a2ozakjkyqtnf4qrvtji

Message from the general chair

Benjamin C. Lee
2015 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)  
Traditional merging methods adopt different strategies such as the best-first method and enforcing the transitivity constraint, but most of these methods are used independently of the pairwise learning  ...  Our end system outperforms the state-of-the-art baseline by 2 B 3 F1 points on non-transcript portion of the ACE 2004 dataset.  ...  There is, however, no study comparing the relative impact of these two sources on the precision and recall of post-learning answers.  ... 
doi:10.1109/ispass.2015.7095776 dblp:conf/ispass/Lee15 fatcat:ehbed6nl6barfgs6pzwcvwxria

An Introduction to Question Answering over Linked Data [chapter]

Christina Unger, André Freitas, Philipp Cimiano
2014 Lecture Notes in Computer Science  
This tutorial gives an introduction to the rapidly developing eld of question answering over linked data.  ...  Finally, it lists the open topics that will keep question answering over linked data an exciting area of research in the years to come. 1  ...  Question answering systems often focus on factoid and denition questions.  ... 
doi:10.1007/978-3-319-10587-1_2 fatcat:nhztb5gl2zdxlp53xkp2ndsasq

A Roadmap for Big Model [article]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
2022 arXiv   pre-print
At present, there is a lack of research work that sorts out the overall progress of BMs and guides the follow-up research.  ...  Researchers have achieved various outcomes in the construction of BMs and the BM application in many fields.  ...  Specifically, a shallow semantic parser is used to extract semantic frames. Using word embeddings, Meant 2.0 can exploit semantic-level word alignment rather than surface-level exact match.  ... 
arXiv:2203.14101v4 fatcat:rdikzudoezak5b36cf6hhne5u4

Framing QA as Building and Ranking Intersentence Answer Justifications

Peter Jansen, Rebecca Sharp, Mihai Surdeanu, Peter Clark
2017 Computational Linguistics  
We include a detailed characterization of the justification quality for both our method and a strong baseline, and show that information aggregation is key to addressing the information need in complex  ...  Our best configuration answers 44% of the questions correctly, where the top justifications for 57% of these correct answers contain a compelling human-readable justification that explains the inference  ...  This interest has been disclosed to the University of Arizona Institutional Review Committee and is being managed in accordance with its conflict of interest policies.  ... 
doi:10.1162/coli_a_00287 fatcat:kqssixxjpbavdc6nimqknvtn74

Knowledge Extraction And Representation Learning For Music Recommendation And Classification

Sergio Oramas, Xavier Serra
2017 Zenodo  
We show how the semantic enrichment of texts and the combination of learned data representations improve the performance on both tasks.  ...  We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists biographies, album reviews, metadata), and the exploitation of multimodal data (e.g., text, audio, images)  ...  In particular we are interested in evaluating the impact of semantic enrichment of the original data on the recommendation quality and the differences among the two feature mapping methods we implemented  ... 
doi:10.5281/zenodo.1048497 fatcat:kdh5jhvocbh3riwln6n2f756su

A Survey of Code-switched Speech and Language Processing [article]

Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W Black
2020 arXiv   pre-print
Code-switching, the alternation of languages within a conversation or utterance, is a common communicative phenomenon that occurs in multilingual communities across the world.  ...  We review code-switching research in various Speech and NLP applications, including language processing tools and end-to-end systems. We conclude with future directions and open problems in the field.  ...  They organized the first edition of the code-mixed question answering challenge where the participants used techniques based on Deep Semantic Similarity model for retrieval and pre-trained DrQA model fine-tuned  ... 
arXiv:1904.00784v3 fatcat:r5tsg4kdnfbtnndae523c32pta

Knowledge Extraction And Representation Learning For Music Recommendation And Classification

Sergio Oramas, Xavier Serra
2017 Zenodo  
We show how the semantic enrichment of texts and the combination of learned data representations improve the performance on both tasks.  ...  We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists biographies, album reviews, metadata), and the exploitation of multimodal data (e.g., text, audio, images)  ...  In particular we are interested in evaluating the impact of semantic enrichment of the original data on the recommendation quality and the differences among the two feature mapping methods we implemented  ... 
doi:10.5281/zenodo.1100973 fatcat:yfpmc6qxbbakjp6qzvywyoaoci

Neural Language Generation: Formulation, Methods, and Evaluation [article]

Cristina Garbacea, Qiaozhu Mei
2020 arXiv   pre-print
Next we include a comprehensive outline of methods and neural architectures employed for generating diverse texts.  ...  We hope this survey will provide an informative overview of formulations, methods, and assessments of neural natural language generation.  ...  Acknowledgments This work was in part supported by the National Science Foundation under grant number 1633370.  ... 
arXiv:2007.15780v1 fatcat:oixtreazxvbgvclicpxiqzbxrm

Effective and practical neural ranking

Sean MacAvaney
2021 SIGIR Forum  
This technique improves the variety of queries encountered when training and helps mitigate concerns of over-fitting particular test collections.  ...  Finally, I take a deep dive into better understanding the linguistic biases of the methods I propose compared to contemporary and traditional approaches.  ...  -Fusion: a reciprocal rank fusion method [30] of BM25 over the abstract, full text, and individual paragraphs.  ... 
doi:10.1145/3476415.3476432 fatcat:fdjy53sggvhgxo5fa5hzpede2i
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