scholarly journals CAUnLP at NLP4IF 2019 Shared Task: Context-Dependent BERT for Sentence-Level Propaganda Detection

2019 ◽  
Author(s):  
Wenjun Hou ◽  
Ying Chen
Keyword(s):  
Shared Task ◽  
Task Context ◽  
Sentence Level ◽  
Context Dependent

Experiencing extinction within a task makes nonextinguished information learned within a different task context-dependent

2013 ◽  
Vol 21 (3) ◽  
pp. 803-808 ◽  
Author(s):  
Rodolfo Bernal-Gamboa ◽  
Juan M. Rosas ◽  
José E. Callejas-Aguilera
Keyword(s):  
Task Context ◽  
Context Dependent

scholarly journals Joint Model-Based Attention for Spoken Language Understanding Task

2020 ◽  
Vol 12 (4) ◽  
pp. 32-43
Author(s):  
Xin Liu ◽  
RuiHua Qi ◽  
Lin Shao
Keyword(s):  
Contextual Information ◽  
Spoken Language ◽  
Joint Model ◽  
Shared Task ◽  
Global Features ◽  
Language Understanding ◽  
Spoken Language Understanding ◽  
Model Based ◽  
Sentence Level ◽  
Slot Filling

Intent determination (ID) and slot filling (SF) are two critical steps in the spoken language understanding (SLU) task. Conventionally, most previous work has been done for each subtask respectively. To exploit the dependencies between intent label and slot sequence, as well as deal with both tasks simultaneously, this paper proposes a joint model (ABLCJ), which is trained by a united loss function. In order to utilize both past and future input features efficiently, a joint model based Bi-LSTM with contextual information is employed to learn the representation of each step, which are shared by two tasks and the model. This paper also uses sentence-level tag information learned from a CRF layer to predict the tag of each slot. Meanwhile, a submodule-based attention is employed to capture global features of a sentence for intent classification. The experimental results demonstrate that ABLCJ achieves competitive performance in the Shared Task 4 of NLPCC 2018.

scholarly journals Combining Lexico-semantic Features for Emotion Classification in Suicide Notes

2012 ◽  
Vol 5s1 ◽  
pp. BII.S8960 ◽  
Author(s):  
Bart Desmet ◽  
Véronique Hoste
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Bag Of Words ◽  
Semantic Features ◽  
Emotion Classification ◽  
Shared Task ◽  
Suicide Notes ◽  
Sentence Level ◽  
Semantic Resources

This paper describes a system for automatic emotion classification, developed for the 2011 i2b2 Natural Language Processing Challenge, Track 2. The objective of the shared task was to label suicide notes with 15 relevant emotions on the sentence level. Our system uses 15 SVM models (one for each emotion) using the combination of features that was found to perform best on a given emotion. Features included lemmas and trigram bag of words, and information from semantic resources such as WordNet, SentiWordNet and subjectivity clues. The best-performing system labeled 7 of the 15 emotions and achieved an F-score of 53.31% on the test data.

scholarly journals Spatial narrative context modulates semantic (but not visual) competition during discourse processing

2018 ◽  
Author(s):  
Glenn Patrick Williams ◽  
Anuenue Kukona ◽  
Yuki Kamide
Keyword(s):  
Visual Information ◽  
Semantic Information ◽  
Discourse Processing ◽  
Task Context ◽  
Visual World ◽  
Semantic Competition ◽  
Competition Effects ◽  
Spatial Narrative ◽  
Context Dependent ◽  
Narrative Context

Recent research highlights the influence of (e.g., task) context on conceptual retrieval. In order to assess whether conceptual representations are context-dependent rather than static, we investigated the influence of spatial narrative context on accessibility for lexical-semantic information by exploring competition effects. In two visual world experiments, participants listened to narratives describing semantically related (piano-trumpet; Experiment 1) or visually similar (bat-cigarette; Experiment 2) objects in the same or separate narrative locations while viewing arrays displaying these (“target” and “competitor”) objects and other distractors. Upon re-mention of the target, we analysed eye movements to the competitor. In Experiment 1, we observed semantic competition only when targets and competitors were described in the same location; in Experiment 2, we observed visual competition regardless of context. We interpret these results as consistent with context-dependent approaches, such that spatial narrative context dampens accessibility for semantic but not visual information in the visual world.

scholarly journals The Roles of Action Selection and Actor Selection in Joint Task Settings

2018 ◽  
Author(s):  
Motonori Yamaguchi ◽  
Helen Joanne Wall ◽  
Bernhard Hommel
Keyword(s):  
Task Performance ◽  
Task Switching ◽  
Action Selection ◽  
Shared Task ◽  
Task Context ◽  
Task Representation ◽  
Switch Costs ◽  
Joint Task ◽  
Single Response ◽  
As If

Studies on joint task performance have proposed that co-acting individuals co-represent the shared task context, which implies that actors integrate their co-actor’s task components into their own task representation as if they were all their own task. Evidence supporting this proposal has been supported by results of joint tasks in which each actor is assigned a single response where selecting a response is equivalent to selecting an actor. The present study used joint task switching, which has previously shown switch costs on trials following the actor’s own trial (intrapersonal switch costs) but not on trials that followed the co-actor’s trial (interpersonal switch costs), suggesting that there is no task co-representation. We examined whether interpersonal switch costs can be obtained when action selection and actor selection are confounded as in previous joint task studies. The present results confirmed this prediction, demonstrating that switch costs can occur within a single actor as well as between co-actors when there is only a single response per actor, but not when there are two responses per actor. These results indicate that task co-representation is not necessarily implied even when effects occur across co-acting individuals and that how the task is divided between co-actors plays an important role in determining how the actors represent the divided task components.

Exploring the Potential Impact of Sentence-Level Comprehension and Sentence-Level Fluency on Deaf Students' Passage Comprehension

2020 ◽  
Vol 63 (7) ◽  
pp. 2281-2292
Author(s):  
Ying Zhao ◽  
Xinchun Wu ◽  
Hongjun Chen ◽  
Peng Sun ◽  
Ruibo Xie ◽  
...  
Keyword(s):  
Independent Predictor ◽  
Vocabulary Knowledge ◽  
Group Differences ◽  
Regression Analyses ◽  
Deaf Students ◽  
Mediating Role ◽  
Sentence Level ◽  
Mediating Mechanisms ◽  
Potential Impact ◽  
The Relationship

Purpose This exploratory study aimed to investigate the potential impact of sentence-level comprehension and sentence-level fluency on passage comprehension of deaf students in elementary school. Method A total of 159 deaf students, 65 students ( M age = 13.46 years) in Grades 3 and 4 and 94 students ( M age = 14.95 years) in Grades 5 and 6, were assessed for nonverbal intelligence, vocabulary knowledge, sentence-level comprehension, sentence-level fluency, and passage comprehension. Group differences were examined using t tests, whereas the predictive and mediating mechanisms were examined using regression modeling. Results The regression analyses showed that the effect of sentence-level comprehension on passage comprehension was not significant, whereas sentence-level fluency was an independent predictor in Grades 3–4. Sentence-level comprehension and fluency contributed significant variance to passage comprehension in Grades 5–6. Sentence-level fluency fully mediated the influence of sentence-level comprehension on passage comprehension in Grades 3–4, playing a partial mediating role in Grades 5–6. Conclusions The relative contributions of sentence-level comprehension and fluency to deaf students' passage comprehension varied, and sentence-level fluency mediated the relationship between sentence-level comprehension and passage comprehension.

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