Search Results - "Tetreault, Joel"
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A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems
Published in Speech communication (01-08-2008)“…Although dialogue systems have been an area of research for decades, finding accurate ways of evaluating different systems is still a very active subfield…”
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Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality
Published in Transactions of the Association for Computational Linguistics (01-12-2016)“…The field of grammatical error correction (GEC) has grown substantially in recent years, with research directed at both evaluation metrics and improved system…”
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Multimodal Categorization of Crisis Events in Social Media
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2020)“…Recent developments in image classification and natural language processing, coupled with the rapid growth in social media usage, have enabled fundamental…”
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Conference Proceeding -
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TGIF: A New Dataset and Benchmark on Animated GIF Description
Published in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2016)“…With the recent popularity of animated GIFs on social media, there is need for ways to index them with rich meta-data. To advance research on animated GIF…”
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Conference Proceeding -
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Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses
Published in Transactions of the Association for Computational Linguistics (01-01-2019)“…Until now, grammatical error correction (GEC) has been primarily evaluated on text written by non-native English speakers, with a focus on student essays. This…”
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The utility of article and preposition error correction systems for English language learners: Feedback and assessment
Published in Language testing (01-07-2010)“…In this paper, we describe and evaluate two state-of-the-art systems for identifying and correcting writing errors involving English articles and prepositions…”
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Erratum: “An Empirical Analysis of Formality in Online Communication”
Published in Transactions of the Association for Computational Linguistics (01-12-2016)“…Corrected citation to (Oraby et al., 2015)…”
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An Empirical Analysis of Formality in Online Communication
Published in Transactions of the Association for Computational Linguistics (01-12-2016)“…This paper presents an empirical study of linguistic formality. We perform an analysis of humans’ perceptions of formality in four different genres. These…”
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Bucking the trend: improved evaluation and annotation practices for ESL error detection systems
Published in Language Resources and Evaluation (01-03-2014)“…The last decade has seen an explosion in the number of people learning English as a second language (ESL). In China alone, it is estimated to be over 300…”
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A computational approach to detecting collocation errors in the writing of non-native speakers of English
Published in Computer assisted language learning (01-10-2008)“…This paper describes the first prototype of an automated tool for detecting collocation errors in texts written by non-native speakers of English. Candidate…”
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Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1
Published 04-06-2020“…Proceedings of the 2019 EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text, pages 27-33, Hong Kong, Nov 4, 2019 Grammar error correction (GEC)…”
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Holistic Discourse Coherence Annotation for Noisy Essay Writing
Published in Dialogue and discourse (19-04-2013)“…This paper reviews annotation schemes used for labeling discourse coherence in well-formed and noisy (essay) data, and it describes a system that we have…”
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Holistic Annotation of Discourse Coherence Quality in Noisy Essay Writing
Published in Dialogue and discourse (01-01-2013)“…In this paper, we describe a holistic annotation scheme for coherence quality that requires little expertise on the part of the human annotator; we also…”
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This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
Published 08-06-2019“…Given the overwhelming number of emails, an effective subject line becomes essential to better inform the recipient of the email's content. In this paper, we…”
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Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs
Published 19-02-2024“…In search settings, calibrating the scores during the ranking process to quantities such as click-through rates or relevance levels enhances a system's…”
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Dialogue Act Classification with Context-Aware Self-Attention
Published 04-04-2019“…Recent work in Dialogue Act classification has treated the task as a sequence labeling problem using hierarchical deep neural networks. We build on this prior…”
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Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
Published 01-11-2023“…This paper describes and analyzes our participation in the 2023 Eval4NLP shared task, which focuses on assessing the effectiveness of prompt-based techniques…”
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Event Extraction as Question Generation and Answering
Published 09-07-2023“…Recent work on Event Extraction has reframed the task as Question Answering (QA), with promising results. The advantage of this approach is that it addresses…”
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Journal Article