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1
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ...
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Seeing the world through text: Evaluating image descriptions for commonsense reasoning in machine reading comprehension ...
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3
Part 6 - Cross-linguistic Studies ...
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AutoMeTS: The Autocomplete for Medical Text Simplification. ...
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Part 4 - Extension Layers and Comparison to Other Formalisms ...
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6
The Financial Narrative Summarisation Shared Task (FNS 2020) ...
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3. Word Embeddings ...
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5. Sense Embeddings ...
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9
Automatic detection of unexpected/erroneous collocations in learner corpus ...
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10
Neural Coreference Resolution for Arabic ...
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11
Task-Aware Representation of Sentences for Generic Text Classification ...
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12
Enhanced Labelling in Active Learning for Coreference Resolution ...
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13
Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning ...
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14
The computational linguistics of conversation modeling ...
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15
International Workshop on Semantic Evaluation (SemEval) ...
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16
A Crash Course in Automatic Grammatical Error Correction 4 ...
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17
Interactive Question Clarification in Dialogue via Reinforcement Learning ...
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18
Best Paper Awards and Closing ...
Abstract: Humans learn to understand speech from weak and noisy supervision: they manage to extract structure and meaning from speech by simply being exposed to utterances situated and grounded in their daily sensory experience. Emulating this remarkable skill has been the goal of numerous studies; however researchers have often used severely simplified settings where either the language input or the extralinguistic sensory input, or both, are small-scale and symbolically represented. I present a series of studies on modelling visually grounded language understanding. Using variations of recurrent neural networks to model the temporal nature of spoken language, we examine how form and meaning-based linguistic knowledge emerges from the input signal. ...
Keyword: Computer and Information Science; Information and Knowledge Engineering; Intelligent System; Natural Language Processing; Neural Network
URL: https://dx.doi.org/10.48448/tdck-9315
https://underline.io/lecture/8308-best-paper-awards-and-closing
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MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources ...
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A Crash Course in Automatic Grammatical Error Correction 1 ...
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