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1
Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction ...
NAACL 2021 2021; ., Stephen; Johnson, Mark. - : Underline Science Inc., 2021
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2
Mention Flags (MF): Constraining Transformer-based Text Generators ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.9 Abstract: This paper focuses on Seq2Seq (S2S) constrained text generation where the text generator is constrained to mention specific words which are inputs to the encoder in the generated outputs. Pre-trained S2S models or a Copy Mechanism are trained to copy the surface tokens from encoders to decoders, but they cannot guarantee constraint satisfaction. Constrained decoding algorithms always produce hypotheses satisfying all constraints. However, they are computationally expensive and can lower the generated text quality. In this paper, we propose Mention Flags (MF), which traces whether lexical constraints are satisfied in the generated outputs in an S2S decoder. The MF models can be trained to generate tokens in a hypothesis until all constraints are satisfied, guaranteeing high constraint satisfaction. Our experiments on the Common Sense Generation task (CommonGen) (Lin et al., 2020), End2end Restaurant Dialog task (E2ENLG) (Duˇsek et al., 2020) ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/9a9b-tf15
https://underline.io/lecture/25357-mention-flags-(mf)-constraining-transformer-based-text-generators
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3
The colloquial WordNet: Extending Princeton WordNet with neologisms
HIcks, Amanda; Wood, Ian D.; McCrae, John P.. - : Springer International Publishing, 2018
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4
Towards a crowd-sourced WordNet for colloquial English
McCrae, John P.; Hicks, Amanda; Wood, Ian D.. - : The Global WordNet Association, 2018
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5
Towards a Crowd-Sourced WordNet for Colloquial English ...
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6
Towards a Crowd-Sourced WordNet for Colloquial English ...
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7
Multimodal emotion recognition for AVEC 2016 challenge
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8
NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity
Wood, Ian D.; O'Neill, James; Andryushechkin, Vladimir. - : Association for Computational Linguistics, 2017
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9
Multimodal Emotion Recognition for AVEC 2016 Challenge
In: Audio/Visual Emotion Challenge ; https://hal.archives-ouvertes.fr/hal-01837203 ; Audio/Visual Emotion Challenge, ACM, Oct 2016, Amsterdam, Netherlands (2016)
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10
Using topic models to measure social psychological characteristics in online social media
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016)
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11
Using topic models to measure social psychological characteristics in online social media
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016)
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12
Mining for the meanings of a murder : the impact of OCR quality on the use of digitized historical newspapers
Strange, Carolyn; McNamara, Daniel; Wodak, Josh (R20072). - : U.S., The Alliance of Digital Humanities Organizations, 2014
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13
Pass Cambridge BEC Preliminary - Student's Book
Wood, Ian [Verfasser]; Williams, Anne [Verfasser]. - München : Langenscheidt ELT, 2012
DNB Subject Category Language
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14
The term "barbarus" in fifth-, sixth-, and seventh-century Gaul
In: Ethnizität. - Stuttgart [u.a.] : Metzler (2011), 39-50
BLLDB
OLC Linguistik
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15
East and west: modes of communication : proceedings of the first plenary conference at Merida
Wood, Ian (Hrsg.); Chrysos, Euangelos K. (Hrsg.). - Leiden [u.a.] : Brill, 1999
BLLDB
UB Frankfurt Linguistik
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