[PDF] Top 20 Grounded Language Learning from Video Described with Sentences
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Grounded Language Learning from Video Described with Sentences
... ings from video paired with ...realistic video scenes labeled with whole sentences, not indi- vidual words labeling hand delineated objects or ...entries, from highly ambiguous training ... See full document
11
Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision
... reinforcement learning from independent exploration with delayed ...obtained from observing humans follow instructions; how- ever, they do not learn semantic parsers that map sentences to ... See full document
12
From phonemes to images: levels of representation in a recurrent neural model of visually grounded language learning
... Some recent models have used more naturalistic, larger-scale inputs, for example in cross-modal dis- tributional semantics (Lazaridou et al., 2015) or in implementations of the acquisition process trained on images ... See full document
11
Adapting Discriminative Reranking to Grounded Language Learning
... Finally, we measure both parse and execution accuracy on the test data. Parse accuracy evalu- ates how well a system maps novel NL sentences for new environments into correct MR plans (Chen and Mooney, 2011). It ... See full document
10
Large scale Semantic Parsing without Question Answer Pairs
... natural language and open-domain knowledge ...supervision from a knowledge base to predict grounded relations between two tar- get entities (Mintz et ...During learning, they ag- gregate ... See full document
16
Equation Parsing : Mapping Sentences to Grounded Equations
... natural language text from election reports, to financial news, to sport commen- taries to mathematical word ...relations described within a single ...relation described in the ... See full document
10
Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration
... As Figure 5 shows, the baseline performance is rather weak (i.e., high MED scores). This is largely due to the noise in state clustering and mapping from vision. After manually inspecting the collected ... See full document
11
Fast Online Lexicon Learning for Grounded Language Acquisition
... lexicon learning algorithm as well as the other modifications to the navigation sys- tem using the same three tasks as Chen and Mooney ...several sentences long and the other version uses instructions that ... See full document
10
Understanding the Language Learning Plateau: A Grounded-Theory Study
... for learning activities, which was another subcategory of Instruction- related Variables, Learner Autonomy and Emphasizing Accuracy over Fluency are two factors which are discussed ...for learning process ... See full document
28
Exploiting Social Information in Grounded Language Learning via Grammatical Reduction
... Because the adaptor grammar software performs full Bayesian inference, including for model param- eters, an unusual feature of our models is that we did not need to perform any parameter tuning what- soever. This feature ... See full document
9
KILLE: a Framework for Situated Agents for Learning Language Through Interaction
... are grounded in an FoR relative to Kille (away from and to- wards Kille respectively) while “left” and “right” are grounded in an FoR relative to the conversa- tional partner ...is described ... See full document
10
Affordances in Grounded Language Learning
... input from, for instance, the visual do- main and more abstract linguistic ...have described here might be conceived as one wing of the type of autoencoder network that has been successful in tasks ... See full document
6
The roles of vocal and visual interactions in social learning zebra finches : a video playback experiment
... learn from live demonstrators relative to what they learn from demon- strators on video was compared: budgerigars copy the actions of a live or video demonstrators in a two-action test (Heyes ... See full document
7
Learning to Compose Spatial Relations with Grounded Neural Language Models
... and language is often done by combining word-embeddings with mul- timodal embeddings (Kiros et ...that grounded words only denote features in subareas of an image, ...visually grounded ... See full document
13
Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language
... same language, specifically US, British, Indian and Australian En- ...transfer from generic audio clas- sification to speech command recognition, which can also be considered a particular instance of ... See full document
11
Guiding Interaction Behaviors for Multi modal Grounded Language Learning
... paradigm from which these data were gathered, the authors noted that “water” correlated with object weight because all of their water bottle objects were partially or completely full (Thomason et ... See full document
5
Morphosyntactic Disambiguation in an Endangered Language Setting
... Endangered Uralic languages present a high variety of inflectional forms in their morphology. This results in a high num- ber of homonyms in inflections, which in- troduces a lot of morphological ambigu- ity in ... See full document
5
Text Segmentation Using Exponential Models
... A long-range language model such as that described in Section 3.2 uses selected words from the past ten, twenty or more sentences to inform its decision on the possible identity of the n[r] ... See full document
12
Detecting Word Ordering Errors in Chinese Sentences for Learning Chinese as a Foreign Language
... crawled from mainland China, there are still some pages in other languages, such as ...and language identification problems have to be dealt with in the development of the CP5g ... See full document
16
Automatic Detection and Analysis of Impressive Japanese Sentences Using Supervised Machine Learning
... Many methods have been reported that estimated the orientation (positive or negative contents) or the emotion of a sentence (Turney and Littman, 2003; Pang and Lee, 2008; Kim and Hovy, 2004; Alm et al., 2005; Aman and ... See full document
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