Search Results for author:
Found 20 papers, 1 papers with code
Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion
In this paper, we report experiments on Few- and Zero-shot Knowledge Graph completion, where the objective is to add missing relational links between entities into an existing Knowledge Graph with few or no previous examples of the relation in question.
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors
First, we empirically find and theoretically motivate why sampling uniformly at random vastly overestimates the ranking performance of a method.
Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research
In this paper we describe the Portuguese-language podcast dataset we have released for academic research purposes.
Unsupervised Speaker Diarization that is Agnostic to Language, Overlap-Aware, and Tuning Free
Podcasts are conversational in nature and speaker changes are frequent -- requiring speaker diarization for content understanding.
The Contribution of Lyrics and Acoustics to Collaborative Understanding of Mood
We find that a pretrained transformer-based language model in a zero-shot setting -- i. e., out of the box with no further training on our data -- is powerful for capturing song-mood associations.
Textual Stylistic Variation: Choices, Genres and Individuals
This chapter argues for more informed target metrics for the statistical processing of stylistic variation in text collections.
Conventions and Mutual Expectations -- understanding sources for web genres
Genres can be understood in many different ways.
Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search
We describe a set of diverse podcast information needs and different approaches to assessing retrieved content for relevance.
Current Challenges and Future Directions in Podcast Information Access
Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and creators.
How Lexical Gold Standards Have Effects On The Usefulness Of Text Analysis Tools For Digital Scholarship
This paper describes how the current lexical similarity and analogy gold standards are built to conform to certain ideas about what the models they are designed to evaluate are used for.
High-dimensional distributed semantic spaces for utterances
High-dimensional distributed semantic spaces have proven useful and effective for aggregating and processing visual, auditory, and lexical information for many tasks related to human-generated data.
TREC 2020 Podcasts Track Overview
The Podcast Track is new at the Text Retrieval Conference (TREC) in 2020.
100,000 Podcasts: A Spoken English Document Corpus
Paired with the audio files, they are also a resource for speech processing and the study of paralinguistic, sociolinguistic, and acoustic aspects of the domain.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Text Mining for Processing Interview Data in Computational Social Science
We use commercially available text analysis technology to process interview text data from a computational social science study.
Team Harry Friberg at SemEval-2019 Task 4: Identifying Hyperpartisan News through Editorially Defined Metatopics
This report describes the starting point for a simple rule based hypothesis testing excercise on identifying hyperpartisan news items carried out by the Harry Friberg team from Gavagai.
Inferring the location of authors from words in their texts
This paper describes a series of experiments to determine how positionally annotated microblog posts can be used to learn location-indicating words which then can be used to locate blog texts and their authors.
Viewpoint and Topic Modeling of Current Events
There are multiple sides to every story, and while statistical topic models have been highly successful at topically summarizing the stories in corpora of text documents, they do not explicitly address the issue of learning the different sides, the viewpoints, expressed in the documents.
The Gavagai Living Lexicon
This paper presents the Gavagai Living Lexicon, which is an online distributional semantic model currently available in 20 different languages.
