Implicit Causality and Pronoun Resolution in Intersubjective Discourse Relations [PDF]
Interpersonal verbs like disappoint and praise in Lucy disappointed/praised Mary because she… bias the potential cause of the event to one of the antecedent noun phrases (henceforth NPs) (e.g., Lucy for disappoint whereas Mary for praise).
Siqi Lyu
exaly +4 more sources
Individual Differences in Print Exposure Predict Use of Implicit Causality in Pronoun Comprehension and Referential Prediction [PDF]
In three experiments, we measured individual patterns of pronoun comprehension (Experiments 1 and 2) and referential prediction (Experiment 3) in implicit causality (IC) contexts and compared these with a measure of participants’ print exposure (Author ...
Elyce Johnson +2 more
exaly +4 more sources
The Influence of Verb-Based Implicit Causality Information and Second Language Proficiency on Chinese English Learners’ Pronoun Anaphoric Inference: Evidence from Eye Movements [PDF]
Implicit causality (IC) is a phenomenon where verbs supply information about the potential cause of the behavior or state to one of the antecedents (e.g., “Mary praised David because…” will continue about David, not Mary).
Huan Liu +3 more
doaj +2 more sources
The Roles of Implicit Causality and Discourse Context in Pronoun Resolution
Some interpersonal verbs show a bias in the proportion of times their subject and object arguments are rementioned in a sample of explanations for the eventuality the verb describes. This bias is known as the implicit causality bias. Several studies have
Emiel Van Den Hoven, Evelyn C Ferstl
exaly +3 more sources
Questionable prospective effects on burnout and exhaustion: simulated reanalyses of cross-lagged panel models [PDF]
Burnout and exhaustion has been extensively studied in organizational, work, and health psychology. Studies using the cross-lagged panel models have tended to conclude, explicitly or implicitly (e.g., in the form of policy recommendations), causal ...
Kimmo Sorjonen +3 more
doaj +2 more sources
Semantic aware enhanced event causality identification [PDF]
Event Causality Identification (ECI) aims to predict causal relations between events in a text. Existing research primarily focuses on leveraging external knowledge such as knowledge graphs and dependency trees to construct explicit structured features ...
Xinfang Liu +3 more
doaj +2 more sources
Implicit Causality Extraction Method Based on Event Action Direction [PDF]
Extracting the causality between events can be applied to automatic question answering,knowledge extraction,common sense reasoning and so on.Due to the lack of obvious lexical features and the complex syntactic structure of Chinese,it is very difficult ...
MIU Feng, WANG Ping, LI Tai-yong
doaj +1 more source
Implicit Causality Extraction of Financial Events Integrating RACNN and BiLSTM [PDF]
The financial field has a large amount of information and high value,especially the implicit causal events which contains huge potential useful value.Carrying out causal analysis on financial domain text to mine the important information hidden in the ...
JIN Fang-yan, WANG Xiu-li
doaj +1 more source
Teachers have been shown to hold lower behavioral expectations for Black students than for their White peers, and the mechanism underlying this may be teachers’ implicit attitudes about their Black students based on causal attributions.
Nicole Lorenzetti, Helen Johnson
doaj +1 more source
A cognitive modeling approach to learning and using reference biases in language
During real-time language processing, people rely on linguistic and non-linguistic biases to anticipate upcoming linguistic input. One of these linguistic biases is known as the implicit causality bias, wherein language users anticipate that certain ...
Abigail G. Toth +3 more
doaj +1 more source

