Natural Language & Narrative Understanding 2019


Notes:

  • Story understanding

Resources:

Wikipedia:

References:

See also:

Language Understanding EnginesLanguage Understanding Module | Scene Understanding & Dialog Systems 2018 | Story Understanding Systems


Proceedings of the First Workshop on Narrative Understanding
D Bamman, S Chaturvedi, E Clark, M Fiterau… – … Narrative Understanding, 2019 – aclweb.org
… This interdisciplinary workshop aims to bring together researchers from natural language processing, machine learning, and other computational fields with humanities scholars to discuss methods to improve and evaluate automatic narrative understanding capabilities …

Temporal Word Embeddings for Narrative Understanding
C Volpetti, K Vani, A Antonucci – Proceedings of the 2020 12th …, 2020 – dl.acm.org
… Analogies. 1. INTRODUCTION Narrative Understanding (NU) tasks are natural language understanding techniques specifically designed to process narrative texts and automatically extract from them higher-level information. NU …

Deep Natural Language Understanding of News Text
J Shree, E Liu, A Gordon, JR Hobbs – … on Narrative Understanding, 2019 – aclweb.org
Early proposals for the deep understanding of natural language text advocated an approach of “interpretation as abduction,” where the meaning of a text was derived as an explanation that logically entailed the input words, given a knowledge base of lexical and commonsense …

Narrative Understanding, Value, and Diagnosis: A Particularist Account of Clinical Formulations and Shared Decision-making in Mental Health
A Bergqvist – Philosophy, Psychiatry, & Psychology, 2020 – muse.jhu.edu
… approach in comprehensive diagnosis based on a normative conception of reasonableness and interpersonal dialogue in natural language (as contrasted … So how are we to understand this contrast between the present model of narrative understanding and the constructivist …

Temporal Embeddings and Transformer Models for Narrative Text Understanding
S Mellace, A Antonucci – arXiv preprint arXiv:2003.08811, 2020 – arxiv.org
… Overall, deep learning models appear to be suitable for narrative text understanding, while also providing a challenging and unexploited benchmark for general natural language understanding. Keywords: Narrative understanding · Dynamic word embeddings · Bidi- rectional …

Narrative Understanding Technologies for Intervention Against Cyberbullying
JC Macbeth – Narratives in Research and Interventions on …, 2019 – Springer
… Narrative Understanding Technologies for Intervention Against Cyberbullying … Similar Stories’ feature of Over the Line, but with the difference that data about social media activity (posts, likes, friend requests) is almost instantly being matched with a natural language story about …

Detecting and understanding moral biases in news
U Shahid, B Di Eugenio, A Rojecki… – … Narrative Understanding …, 2020 – aclweb.org
Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 120–125 July 9, 2020 … describe work in progress on detecting and understanding the moral biases of news sources by combining framing theory with natural language processing …

Contextualized word embeddings enhanced event temporal relation extraction for story understanding
R Han, M Liang, B Alhafni, N Peng – arXiv preprint arXiv:1904.11942, 2019 – arxiv.org
… It is an important natural language understanding (NLU) task with broad applications to downstream tasks such as story understanding … Modeling event temporal relations is crucial for story/narrative understanding and storytelling, be- cause a story is typically composed of a …

Towards Narrative Understanding with Deep Neural Networks and Hidden Markov Models
JW Orr – 2019 – ir.library.oregonstate.edu
… and, in conjunction with a language model, create a textual representation of that story. 1.2 Natural Language Processing and Machine Reading The three aspects of narrative understanding: identifying narrative elements, determining …

Towards Natural Language Story Understanding with Rich Logical Schemas
GL Kim, L Lawley, L Schubert – … the Sixth Workshop on Natural Language …, 2019 – aclweb.org
Towards Natural Language Story Understanding … Our system parses natural language stories into a logical form, matches the story to existing schemas, draws inferences, and, upon recognition of patterns, generalizes new schemas, whose variable roles take the place of the 1 …

Systematic Evaluation of a Framework for Unsupervised Emotion Recognition for Narrative Text
S Zad, M Finlayson – … First Joint Workshop on Narrative Understanding …, 2020 – aclweb.org
… Because of this importance, automatic emo- tion recognition is useful for many applications, including for automated narrative understanding … This includes not only standard natural language processing chal- lenges, such as polysemous words and the difficulty of coreference …

Narrative paths and negotiation of power in birth stories
M Antoniak, D Mimno, K Levy – Proceedings of the ACM on Human …, 2019 – dl.acm.org
… expectations and experiences of pregnant people1. In this work, we use natural language processing (NLP) techniques to translate between two complementary … Evaluation of narrative analysis and narrative understanding tasks is difficult as there is often no one correct answer …

Natural language processing applications in library and information science
Z Taskin, U Al – Online Information Review, 2019 – emerald.com
… of NLP lies in the biologically and linguistically motivated computational paradigms that enable narrative understanding and hence … TS=(“natural language processing” OR “text categorization” OR “information retrieval” OR “machine translation” OR “information extraction” OR …

Extracting Message Sequence Charts from Hindi Narrative Text
S Hingmire, N Ramrakhiyani, AK Singh, S Patil… – … Understanding …, 2020 – aclweb.org
Page 1. Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 87–96 July 9, 2020 … Further, the representation’s support for infer- ence mechanisms opens up possibilities of tack- ling natural language understanding problems like text …

Is Few Always Less than Expected?: The Influence of Story Context on Readers’ Interpretation of Natural Language Quantifiers
SSN Upadhyay, KJ Houghton, CM Klin – Discourse Processes, 2019 – Taylor & Francis
… Articles. Is “Few” Always Less than Expected?: The Influence of Story Context on Readers’ Interpretation of Natural Language Quantifiers … Articles. Is “Few” Always Less than Expected?: The Influence of Story Context on Readers’ Interpretation of Natural Language Quantifiers …

On-The-Fly Information Retrieval Augmentation for Language Models
H Wang, D McAllester – … First Joint Workshop on Narrative Understanding …, 2020 – aclweb.org
Page 1. Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 114–119 July 9, 2020. c 2020 Association for Computational Linguistics 114 … 2018. Neural natural language inference models enhanced with external knowledge …

Exploring the Effect of Author and Reader Identity in Online Story Writing: the STORIESINTHEWILD Corpus.
T August, M Sap, E Clark, K Reinecke… – … Narrative Understanding …, 2020 – aclweb.org
Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 46–54 July 9, 2020 … Despite this subjectivity, many natural language processing tasks treat hu- man judgments of story quality as the gold stan- dard for evaluating systems that …

ScriptWriter: Narrative-Guided Script Generation
Y Zhu, R Song, Z Dou, JY Nie, J Zhou – arXiv preprint arXiv:2005.10331, 2020 – arxiv.org
… defines it as “a message that tells the particulars of an act or occurrence or course of events; presented in writing or drama or cinema or as a radio or television program”1. Narrative plays an important role in many natural language process- ing (NLP … 2.1 Narrative Understanding …

Interactive Narrative Authoring Using Cognitive Models in Narrative Planning
R Sanghrajka – Proceedings of the AAAI Conference on Artificial …, 2019 – aaai.org
… goal is to be able to cre- ate representations needed as input for planning algorithms from the output of narrative understanding components … The Natural Language Process- ing community has work in affective event extraction, and I hope to be able to add such capabilities in …

9 Heteronomy of Narrative
HR Ekbia – Narrative Complexity: Cognition, Embodiment …, 2019 – books.google.com
… be attacked separately”(4). To that end, McCarthy proposed what he called an “Artificial Natural Language,” consisting of two key … Case-Based Reasoning: Complexity Reduction through Abduction The logicist approach to narrative understanding is based on an “ob- jective …

Program understanding, the narrative hypothesis
E Harth – 2019 – archive-ouverte.unige.ch
… natural language. We show that using NLP and information retrieval techniques (IR), we can “map” the human-oriented (ie, domain level) story to the technical story (ie, source code), which is … 3.5. Narrative Understanding ….. 53 …

Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters
H Kim, D Katerenchuk, D Billet, H Park… – Proceedings of the …, 2019 – researchgate.net
… have witnessed renewed interest in narrative text understanding, a research topic closely related to many natural language prob- lems … We contend that, although actors have been largely ignored in narrative understanding, modeling them could provide an important source of …

Pest Recognition Using Natural Language Processing
C Hernández-Castillo, HH Guedea-Noriega… – … on Technologies and …, 2019 – Springer
… The syntactic analysis of the text permits to assess how the natural language aligns with grammatical rules by means of word-based … open-domain, context-aware and intent-driven, a pragmatic paradigm is necessary which is based on the narrative understanding of the text …

Information extraction tool Text2ALM: from narratives to action language system descriptions
C Olson, Y Lierler – arXiv preprint arXiv:1909.08235, 2019 – arxiv.org
… edu In this work we design a narrative understanding tool TEXT2ALM … narrative. A narrative understanding system developed within this work, TEXT2ALM, utilizes TEXT2DRS and automates the remainder of the method outlined in [13] …

Story ending prediction by transferable BERT
Z Li, X Ding, T Liu – arXiv preprint arXiv:1905.07504, 2019 – arxiv.org
… Particularly, we propose utilizing three kinds of transfer tasks, including natural language inference, sentiment classification, and next … is to require systems to perform deep language understanding and commonsense reasoning for successful narrative understanding, which is …

Extraction of Message Sequence Charts from Narrative History Text
G Palshikar, S Pawar, S Patil, S Hingmire… – … Understanding, 2019 – aclweb.org
Page 1. Proceedings of the First Workshop on Narrative Understanding, pages 28–36 Minneapolis, Minnesota, June 7, 2019. c 2019 Association for Computational Linguistics 28 Extraction of Message Sequence Charts from Narrative History Text …

Computational Creativity Meets Digital Literary Studies (Dagstuhl Seminar 19172)
TR Besold, P Gervás, E Gius, S Schulz – Dagstuhl Reports, 2019 – drops.dagstuhl.de
… Researchers in Natural language processing (NLP) have shown considerable interest in text-based DH research … 93 NLP for Narrative Understanding Mark Finlayson….. 95 Open challenges in computational storytelling Pablo Gervás …

Understanding actors and evaluating personae with Gaussian embeddings
H Kim, D Katerenchuk, D Billet, J Huan, H Park… – Proceedings of the AAAI …, 2019 – aaai.org
… Actors in movies and TV shows are an integral part of narratives, but have been largely ignored by the literature on narrative understanding … We briefly review work on narrative understanding and un- supervised representation learning for words and concepts …

A type-coherent, expressive representation as an initial step to language understanding
GL Kim, L Schubert – arXiv preprint arXiv:1903.09333, 2019 – arxiv.org
… Episodic Logic (EL) is a semantic representation extending FOL, designed to closely match the expres- sivity and surface form of natural language and to enable deductive inference, uncertain inference, and NLog-like inference (Morbini and Schubert, 2009; Schubert and …

Narrative comprehension through analogy: a study in cognitive modeling and narrative clustering
SA Wilner – 2019 – ideals.illinois.edu
… Abstract As the field of natural language processing improves and finds its way into everyday use its current limita- tions and shortcomings become all the more apparent … NER Named Entity Resolution NLP Natural Language Processing NLU Natural Language Understanding …

Character Identification Refined: A Proposal
L Jahan, M Finlayson – … of the First Workshop on Narrative Understanding, 2019 – aclweb.org
… Characters are a key element of narrative and so character identification plays an important role in automatic narrative understanding … In the 2017 Conference on Empirical Methods in Natural Language Pro- cessing (EMNLP), pages 2708–2715, Copenhagen, Denmark …

The Key Practice, Building and Sharing Stories and Social Understandings: The Intrinsic Value of Narrative
P Deane, S Somasundaran, RR Lawless… – ETS Research …, 2019 – Wiley Online Library
… This report examines the ways in which the skills that support narrative develop during the school years, outlines a model of narrative as a “key practice” in which the ability to model social situations supports narrative understanding, and feeds into the ability to use stories to …

Towards Unlocking the Narrative of the United States Income Tax Forms
E Manandise – Proceedings of the Second Financial Narrative …, 2019 – aclweb.org
… Secondly, profiling a small, unannotated corpus can help determine the Natural Language Processing approach best fitted to extract, represent … Narrative understanding and qualitative content analysis are related tasks as they study the practices, beliefs, needs, and values of …

Automatic extraction of personal events from dialogue
J Eisenberg, M Sheriff – … First Joint Workshop on Narrative Understanding …, 2020 – aclweb.org
Page 1. Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 63–71 July 9, 2020. c 2020 Association for Computational Linguistics 63 Automatic extraction of personal events from dialogue Joshua D. Eisenberg Artie, Inc …

Unsupervised hierarchical story infilling
D Ippolito, D Grangier, C Callison-Burch… – … Narrative Understanding, 2019 – aclweb.org
Page 1. Proceedings of the First Workshop on Narrative Understanding, pages 37–43 Minneapolis, Minnesota, June 7, 2019 … In Proceed- ings of the Workshop on Computational Creativity in Natural Language Generation (CC-NLG 2017), pages 38–43 …

Emotion Arcs of Student Narratives
S Somasundaran, X Chen, M Flor – … on Narrative Understanding …, 2020 – aclweb.org
Page 1. Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 97–107 July 9, 2020. c 2020 Association for Computational Linguistics 97 Emotion Arcs of Student Narratives SwapnaSomasundaran …

Frustratingly Hard Evidence Retrieval for QA Over Books
X Mou, M Yu, B Yao, C Yang, X Guo, S Potdar… – … Narrative Understanding …, 2020 – aclweb.org
Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 108–113 July 9, 2020 … In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Lan …

Aesop: A visual storytelling platform for conversational ai and common sense grounding
TJ Meo, C Kim, A Raghavan, A Tozzo… – AI …, 2019 – content.iospress.com
… by example by using the common sense grounding component to expand the knowledge graph and ground natural language on the … types of interactions such as listening to the other storytellers to make logical continuations of the narrative, understanding common story arcs …

Extractive NarrativeQA with Heuristic Pre-Training
L Frermann – Proceedings of the 2nd Workshop on Machine …, 2019 – aclweb.org
… Abstract Although advances in neural architectures for NLP problems and unsupervised pre-training led to impressive improvements on question answering and natural language inference, rea- soning over long texts still poses a great chal- lenge …

An Architecture of Semantic Information Extraction Tool Text2ALM
Y Lierler, C Olson – 2020 – works.bepress.com
… It relies on a conglomeration of resources and techniques from two distinct fields of artificial intelligence, namely, natural language processing and knowledge … A narrative understanding system developed within this work, TEXT2ALM, automates the method from [11] …

Script Induction as Association Rule Mining
A Belyy, B Van Durme – … First Joint Workshop on Narrative Understanding …, 2020 – aclweb.org
Page 1. Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 55–62 July 9, 2020. c 2020 Association for Computational Linguistics 55 Script Induction as Association Rule Mining …

Fine-tuning language models from human preferences
DM Ziegler, N Stiennon, J Wu, TB Brown… – arXiv preprint arXiv …, 2019 – arxiv.org
… Most work on reward learning has used simulated environ- ments, but complex information about values is of- ten expressed in natural language, and we believe reward learning for language is a key to making RL practical and safe for real-world tasks …

Transcending the Duality of Body and Language
A Halsema – Paul Ricoeur and the Lived Body, 2020 – books.google.com
… For Ricoeur, this does not mean that one’s testimony is confined to the idioms of a natural language … 6. Dan Zahavi,“Self and Other: The Limits of Narrative Understanding,” in Nar- rative and Understanding Persons, ed. Dan Hutto (Cambridge: Cambridge University Press, 2007 …

Narrative Crisis and Renewal in the Age of Information: David Foster Wallace’s Mister Squishy
CT White – Critique: Studies in Contemporary Fiction, 2020 – Taylor & Francis
… words, “the production and consumption of fictions is both an application of the capacity for narrative understanding we already … the process of interpreting fictional texts emulates or rather piggybacks on more general processes of natural language understanding – whereby …

Using Functional Schemas to Understand Social Media Narratives
X Yan, A Naik, Y Jo, C Rose – Proceedings of the Second Workshop on …, 2019 – aclweb.org
… 1 Introduction Narrative understanding has long been consid- ered a central, yet challenging task in natural lan- guage understanding (Winograd, 1972). Recent … 2 Background & Related Work 2.1 Narrative Understanding Much …

INSET: Sentence Infilling with Inter-sentential Generative Pre-training
Y Huang, Y Zhang, O Elachqar, Y Cheng – arXiv preprint arXiv:1911.03892, 2019 – arxiv.org
… Abstract Missing sentence generation (or sentence infilling) fosters a wide range of applica- tions in natural language generation, such as document auto-completion and meeting note expansion … 2 Related Work Natural Language Generation …

INSET: Sentence Infilling with INter-SEntential Transformer
Y Huang, Y Zhang, O Elachqar, Y Cheng – … of the 58th Annual Meeting of …, 2020 – aclweb.org
… microsoft.com Abstract Missing sentence generation (or sentence in- filling) fosters a wide range of applications in natural language generation, such as document auto-completion and meeting note expansion. This task asks …

Extraction of Message Sequence Charts from Software Use-Case Descriptions
G Palshikar, N Ramrakhiyani, S Patil, S Pawar… – Proceedings of the …, 2019 – aclweb.org
… In Proceed- ings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Com- putational Natural Language Learning, EMNLP- CoNLL 2012, July 12-14, 2012, Jeju Island, Korea … In Proceedings of the Workshop on Narrative Understanding …

Improving the Identification of the Discourse Function of News Article Paragraphs
D Banisakher, WV Yarlott, M Aldawsari… – … Understanding …, 2020 – aclweb.org
Page 1. Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 17–25 July 9, 2020. c 2020 Association for Computational Linguistics 17 Improving the Identification of the Discourse Function of News Article Paragraphs …

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds
P Ammanabrolu, E Tien, M Hausknecht… – arXiv preprint arXiv …, 2020 – arxiv.org
… Text-based games are long puzzles or quests, characterized by a sequence of sparse and potentially deceptive rewards. They provide an ideal platform to develop agents that perceive and act upon the world using a combinatorially sized natural language state-action space …

New Insights into Cross-Document Event Coreference: Systematic Comparison and a Simplified Approach
A Cremisini, M Finlayson – … Joint Workshop on Narrative Understanding …, 2020 – aclweb.org
Page 1. Proceedings of the 1st Joint Workshop on Narrative Understanding, Storylines, and Events, pages 1–10 July 9, 2020. c 2020 Association for Computational Linguistics 1 New Insights into Cross-Document Event Coreference …

The Employment Status and Support Needs of Persons With Disabilities in Japan: Analysis and Generation of Narrative Using a Narratology and Text Mining
K Seino, Y Haruna, S Ishizaki – Post-Narratology Through …, 2019 – igi-global.com
… The narrative approach is one that has paid close attention to the narrative understanding of NBM … The technique of “data mining, machine learning, natural language processing, information retrieval, and knowledge management” is used in text mining (Feldman & Sanger, 2007 …

Annotation of Emotion Carriers in Personal Narratives
A Tammewar, A Cervone, EM Messner… – arXiv preprint arXiv …, 2020 – arxiv.org
… We believe that automated extraction of the emotion carri- ers as a task of Automatic Narrative Understanding (ANU) could benefit various applications … In Natural Language Processing and Chinese Computing, pages 457–464. Springer …

Memory-augmented neural networks for better discourse understanding
F Liu – 2019 – minerva-access.unimelb.edu.au
… November 2019 Page 2. Page 3. Abstract Natural language understanding is a long-standing goal of artificial intelligence and a … In Proceedings of the Eighth International Joint Conference on Natural Language Processing (IJCNLP 2017), pages 555–565, Taipei, Taiwan …

The exceptional nature of the first person in natural story processing and the transfer of egocentricity
I Brilmayer, A Werner, B Primus… – Language, Cognition …, 2019 – Taylor & Francis
… In extending these findings and assumptions to language comprehension, we assume that first-person pronouns in natural language serve as … a real-life communicative situation, the reader/hearer is not part of the communicative situation during narrative understanding, but an …

Identifying Therapist and Client Personae for Therapeutic Alliance Estimation.
VR Martinez, N Flemotomos, V Ardulov… – …, 2019 – researchgate.net
… client and therapist characters, we automatically identify their personae by using an unsupervised model for narrative understanding [9]. This … latent dirichlet allocation for child narrative analysis,” in Proceedings of the 2013 Workshop on Biomedical Natural Language Processing …

Identifying sensible lexical relations in generated stories
M Roemmele – … of the First Workshop on Narrative Understanding, 2019 – aclweb.org
Page 1. Proceedings of the First Workshop on Narrative Understanding, pages 44–52 Minneapolis, Minnesota, June 7, 2019. c 2019 Association for Computational Linguistics 44 Identifying Sensible Lexical Relations in Generated Stories …

Visual and verbal narrative comprehension in children and adolescents with autism spectrum disorders: An ERP study
M Manfredi, N Cohn, PS Mello, E Fernandez… – Journal of Autism and …, 2020 – Springer
… et al. 2010). Deficits in visual narrative understanding by individuals with ASD are usually attributed to issues with theory of mind rather than basic semantic processing (Baron?Cohen et al. 1986; Johnels et al. 2013). Indeed …

Computational Approaches to Comics Analysis
J Laubrock, A Dunst – Topics in Cognitive Science, 2020 – Wiley Online Library
… & Hitch, 1974; Oberauer & Kliegl, 2006), sequence processing (Reber, 1967), and language and narrative understanding (Gernsbacher, 1990 … focusing on comics analysis, these sections also illustrate modern techniques in digital image and natural language processing (NLP) …

Scene Linking Annotation and Automatic Scene Characterization in TV Series.
A Berhe, C Guinaudeau, C Barras – Text2Story@ ECIR, 2020 – ceur-ws.org
… narrative links the daily human activities (narratives) and the computing world (machines com- putations) by analyzing and modelling narratives, narrative understanding and machine … Narrative Information Extraction with Non-Linear Natural Language Processing Pipelines …

Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset
R Rameshkumar, P Bailey – Proceedings of the 58th Annual Meeting of …, 2020 – aclweb.org
… respectively. descriptions of events, or changes in the states of speakers themselves. Some explored sub-tasks for narrative understanding are topic understanding, character state tracking, and abstractive summariza- tion. Though …

To Test Machine Comprehension, Start by Defining Comprehension
J Dunietz, G Burnham, A Bharadwaj… – arXiv preprint arXiv …, 2020 – arxiv.org
… useful class of texts, namely short narratives. We then conduct an experiment that strongly suggests existing systems are not up to the task of narrative understanding as we define it. 1 Introduction Over the past few years, neural …

Text-world annotation and visualization for crime narrative reconstruction
YF Ho, J Lugea, D McIntyre, Z Xu… – Digital Scholarship in …, 2019 – academic.oup.com
Abstract. To assist legal professionals with more effective information processing and evaluation, we aim to develop software to identify and visualize the key.

Processing Narratives by Means of Action Languages
C Olson – 2019 – digitalcommons.unomaha.edu
… Advisor: Dr. Yuliya Lierler In this work we design a narrative understanding system Text2ALM that can be … systems are popular research experiments because top-notch systems must successfully combine the fields of natural language processing, knowledge representation and …

Counterfactual story reasoning and generation
L Qin, A Bosselut, A Holtzman, C Bhagavatula… – arXiv preprint arXiv …, 2019 – arxiv.org
… models based on transformers (Radford et al., 2018, 2019) has led to considerable improvements in natural language generation tasks … To assess whether being able to train directly on alternative endings is helpful for learning counterfactual narrative understanding, we train …

Memory-Enhanced Models for Discourse Understanding
F Liu – Discourse, 2019 – trevorcohn.github.io
Page 1. What is Discourse Discourse-related Tasks Models for Discourse Understanding Conclusion Memory-Enhanced Models for Discourse Understanding COMP90042 Web Search and Text Analysis Guest Lecture Fei Liu …

Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives
L Fu, JP Chang, C Danescu-Niculescu-Mizil – arXiv preprint arXiv …, 2019 – arxiv.org
… D Our task How can I energize myself? Table 1: Contrast with desired outputs in related narrative understanding tasks that focus on the within-story (intradiegetic) aspects of narrative understanding … 2.1 Related narrative understanding tasks …

Consciousness, language, and the possibility of non-human personhood: reflections on elephants
D Ross – Journal of Consciousness Studies, 2019 – ingentaconnect.com
… However, the overwhelmingly dominant view among scientists and philosophers is that no animals have their own natural language.7 A … of episodic memory and of generalized response to classes of events that are highly salient occasions for narrative understanding in humans …

Primary Physical Science for Student Teachers at Kindergarten and Primary School Levels: Part I—Foundations of an Imaginative Approach to Physical Science
F Corni, HU Fuchs – Interchange, 2020 – Springer
… Narratology & Narrative Understanding Fig … 1 3 Primary Physical Science for Student Teachers at Kindergarten… In Story Logic, Herman (2002) defines story-worlds as follows: “[…] storyworlds [are construed] as mental models […] supporting narrative understanding.” (p. 17) …

Medium Specificity, Iterative Ethics, and Algorithmic Culture in The Good Place
J Stadler – Projections, 2019 – berghahnjournals.com
… processes” (2014, 3). Artificial in- telligence (AI) centrally involves deep learning, artificial neural networks, and natural language processing, and … in ways that are framed by screen aesthetics and grounded in complex emotive allegiances and evolving narrative understanding …

Why You’ll Regret Not Reading This Paper
M Schroeder – Royal Institute of Philosophy Supplements, 2019 – cambridge.org
… This is because ‘ought’ and ‘should’ judgments in natural language – at least, the kind that are practical, and line up with appropriate … appeal to narrative understanding is brought out incredibly forcefully by Susan Brison’s Aftermath, which tells the compelling story of how her …

Contesting strategic narratives in a global context: The world watches the 2016 US election
R Kluver, S Cooley, R Hinck – The International Journal of …, 2019 – journals.sagepub.com
National media narratives often embody “strategic narratives” that embody national consensus on geopolitics. The 2016 US presidential election was an event of intense international interest, both…

Towards story-based classification of movie scenes
C Liu, A Shmilovici, M Last – PloS one, 2020 – journals.plos.org
Humans are entertained and emotionally captivated by a good story. Artworks, such as operas, theatre plays, movies, TV series, cartoons, etc., contain implicit stories, which are conveyed visually (eg, through scenes) and audially (eg, via music and speech). Story theorists have …

Hybrid Deep Learning for Sentiment Analysis and Hate Speech Detection
C VOLPETTI – 2020 – politesi.polimi.it
… Keywords Natural Language Processing; Word Embeddings; Temporal Word Embeddings; Narrative Understanding; Character-Centric Narrative Understanding; Temporal Word Analogies. viii Page 11. Acknowledgements …

Red or blue pill: fostering identification and transportation through dialogue choices in RPGs
JT Bowey, MA Friehs, RL Mandryk – … on the Foundations of Digital Games, 2019 – dl.acm.org
… Narrative Engagement[27] is based on four different processes: narrative understanding (ie, cognitive perspective taking and mak- ing sense of the story), attentional focus (ie, undivided attention for the story), emotional engagement (ie, empathy for the charac- ters) and …

Discourse Expectations Are Sensitive to the Question Under Discussion: Evidence From ERPs
F Delogu, T Jachmann, M Staudte… – Discourse …, 2020 – Taylor & Francis
Questions under Discussion (QUDs) have been suggested to influence the integration of individual utterances into a discourse-level representation. Previous work has shown that processing ungrammati…

The structure of economic news
L Bybee, BT Kelly, A Manela, D Xiu – 2020 – nber.org
… Topic models are a popular dimension reduction tech- nique from the fields of machine learning and natural language processing.1 … the time-varying correlation of high frequency financial frictions measures with our news topics provides a narrative understanding of episodes …

Reconstructing Personal Stories in Virtual Reality as a Mechanism to Recover the Self
I Georgieva, GV Georgiev – … of Environmental Research and Public Health, 2020 – mdpi.com
… impact of an experience [53]. The future of VR in healthcare requires deeper research for the whole range of effects it can have on the human self, and its narrative understanding of reality to be realized [54,55]. VR is a powerful …

Decoding As Dynamic Programming For Recurrent Autoregressive Models
N Zaidi, T Cohn, G Haffari – International Conference on Learning …, 2019 – openreview.net
Page 1. Published as a conference paper at ICLR 2020 DECODING AS DYNAMIC PROGRAMMING FOR RECUR- RENT AUTOREGRESSIVE MODELS Najam Zaidi Faculty of Information Technology Monash University, Australia syed.zaidi1@monash.edu …

Comparative Evaluation of Dialogic versus Monologic Pedagogy among EFL Instructors and Teacher Educators in Iran
M Yaqubi, N Rashidi – Iranian Journal of English for …, 2019 – journalscmu.sinaweb.net
… obstacles. Matusov (2007) contends that too much dialogism can lead to the creation of too many voices. Holquist (2002) maintains that natural language is only one of several ways in which dialogic relationship makes sense. Finally …

Nature’s Turing Test
TR Zentall – Proceedings of the Twenty-fourth Annual Conference …, 2019 – books.google.com
… A self-organizing neural network is used to explore the high-dimensional space of various linguistic categories, analyzing realistic natural language data … The cognitive task analysis of these phases was developed using NGOMSL (Natural Language GOMS, see Kieras, 1997) …

XL-Editor: Post-editing Sentences with XLNet
YS Shih, WC Chang, Y Yang – arXiv preprint arXiv:1910.10479, 2019 – arxiv.org
Page 1. arXiv:1910.10479v1 [cs.CL] 19 Oct 2019 XL-Editor: Post-editing Sentences with XLNet Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang Carnegie Mellon University {yongsias,wchang2,yiming}@cs.cmu.edu Abstract …

A Picture Held Us Captive: On Aisthesis and Interiority in Ludwig Wittgenstein, Fyodor M. Dostoevsky and WG Sebald
T Lobo – 2019 – books.google.com
Page 1. Tea Lobo A Picture Held Us Captive Page 2. On Wittgenstein Edited on behalf of the Internationale Ludwig Wittgenstein Gesellschaft eV by James Conant, Wolfgang Kienzler, Stefan Majetschak, Volker Munz, Josef GF …

Making Sense of Monuments: Narratives of Time, Movement, and Scale
MJ Kolb – 2019 – books.google.com
Page 1. “In this book, anthropologist Michael Kolb productively explores the cultural and communicative roles of the built environment. Systematic without being deductive, thematic without universalizing, the author guides the …

Forward Together? Politicized Identities, Collective Action, and the Emergence of the 2017 Women’s March on Washington.
AP Browning – 2019 – repository.lib.ncsu.edu
Page 1. ABSTRACT BROWNING, ABIGAIL PERKINS. Forward Together? Politicized Identities, Collective Action, and the Emergence of the 2017 Women’s March on Washington. (Under the direction of Dr. Jessica Jameson) …

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