Bringing Order to Chaos: A Non-Sequential Approach for Browsing Large Sets of Found Audio Data (L18-1)
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| Challenge: | a new approach to search for sound in large archives is being developed . speech and speech technology researchers struggle to access large amounts of data . |
| Approach: | They propose a method for fast and efficient non-sequential browsing of sound in large archives that we know little about . they combine audio browsing through massively multi-object sound environments and an unsupervised dimensionality reduction algorithm to search for sound in public archives. |
| Outcome: | The proposed method is shown to combine well, resulting in rapid and interpretable observations. |
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Ann Clifton, Sravana Reddy, Yongze Yu, Aasish Pappu, Rezvaneh Rezapour, Hamed Bonab, Maria Eskevich, Gareth Jones, Jussi Karlgren, Ben Carterette, Rosie Jones
| Challenge: | Podcasts are a large and growing repository of spoken audio. |
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Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus (2025.acl-long)
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| Challenge: | a dataset of over 1.1M podcast transcripts is largely comprehensive of all English language podcasts available through public RSS feeds from May and June of 2020. |
| Approach: | They propose to build a large-scale open dataset of podcast transcripts that includes metadata, speaker roles, audio features and speaker turns for a subset of 370K episodes. |
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A Short Survey on Sense-Annotated Corpora (2020.lrec-1)
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| Challenge: | Word Sense Disambiguation (WSD) is a key task in Natural Language Understanding. |
| Approach: | They propose to use sense-annotated corpora for supervised Word Sense Disambiguation. |
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A database of German definitory contexts from selected web sources (L18-1)
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| Challenge: | a specialized web corpus and robust pattern-based extraction methods are used to detect definitory contexts. |
| Approach: | They propose to use a web corpus and a database to detect definitory contexts . they describe an experimental setting and front-end for pattern-based definition extraction . |
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A guide to the dataset explosion in QA, NLI, and commonsense reasoning (2020.coling-tutorials)
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| Challenge: | a tutorial aims to provide an up-to-date guide to the recent datasets . the target audience is the NLP practitioners who are lost in dozens of the recent data sets. |
| Approach: | This tutorial provides an up-to-date guide to the recent datasets . it surveys old and new methodological issues with dataset construction . |
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Text Mining for History: first steps on building a large dataset (L18-1)
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| Challenge: | a new corpus on the history domain is being created to mine text in the domain . primary motivation for the project is the need to query the material in a non-linear way . |
| Approach: | They propose to use a Brazilian historical-biographical dictionary as a resource for text mining. |
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Synthetic Data Made to Order: The Case of Parsing (D18-1)
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| Challenge: | supervised dependency parsing is a core task in natural language processing, but unsupervised parsers can hardly produce useful parses. |
| Approach: | They propose to permute the constituents of an existing dependency treebank so that its surface part-of-speech statistics approximately match those of the target language. |
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Improved Transcription and Indexing of Oral History Interviews for Digital Humanities Research (L18-1)
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| Challenge: | Existing methods to improve transcription and indexing quality of Oral History interviews are not available. |
| Approach: | They propose to use a German Oral History test-set to improve transcription and indexing quality . they propose to combine acoustic modeling techniques with sophisticated neural networks . |
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Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers (2022.lrec-1)
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| Challenge: | resurgence of multimodal datasets has attracted significant research interest, but there is no comprehensive survey for this task. |
| Approach: | They present a survey of a multimodal dataset with different modalities according to the applications. |
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A Large Resource of Patterns for Verbal Paraphrases (L18-1)
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| Challenge: | Xu et al., 2015: paraphrases play an important role in natural language understanding . he says it is difficult to propose a paraphrasing relation for natural language processing systems . |
| Approach: | They propose a resource of such paraphrases that can be used to identify hidden paraphrase pairs . they propose to use the resource to identify paraphrase relationships between two words . |
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